<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ana user="ktluser" project="Iiasa_population_dat" generated="28. Febta 2010 11:27 " softwareversion="4.1.0" software="Analytica">
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<author>ktluser</author>
<date>28. Febta 2010 8:48 </date>
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<savedate>28. Febta 2010 11:27 </savedate>
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<index name="Year">
<title>Year</title>
<definition>['2008','2009','2010','2011','2012','2013','2014','2015','2016','2017','2018','2019','2020','2021','2022','2023','2024','2025','2026','2027','2028','2029','2030','2031','2032','2033','2034','2035','2036','2037','2038','2039','2040','2041','2042','2043','2044','2045','2046','2047','2048','2049','2050','2051','2052','2053','2054','2055','2056','2057','2058','2059','2060','2061','2062','2063','2064','2065','2066','2067','2068','2069','2070','2071','2072','2073','2074','2075','2076','2077','2078','2079','2080','2081','2082','2083','2084','2085','2086','2087','2088','2089','2090','2091','2092','2093','2094','2095','2096','2097','2098','2099','2100']</definition>
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</index>
<index name="Region">
<title>Region</title>
<definition>['North Africa','Sub Saharan Africa','North America','Latin America','Central Asia','Middle East','South Asia','China Region','Pacific Asia','Japan/Oceania','Western Europe','Eastern Europe','European Soviet Union','World']</definition>
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</index>
<index name="Parameter">
<title>Parameter</title>
<definition>['Total population','Fraction 0-20','Fraction 20-60','Fraction 60+','Fraction 80+','Ratio 60+ / 20-60','Life expectancy males','Life expectancy females','Mean age','Total fertility rate']</definition>
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<variable name="Iiasa_population_da1">
<title>IIASA population data</title>
<definition>var a:= Iiasa_data;
a:= Textreplace(a, '(', ',', true );
a:= Textreplace(a, ')', '', true );
a:= Textreplace(a, '-', ',', true );
a:= for x[]:= a do ( slice(Splittext( x, ',' ), @Statistics1));
evaluate(a)</definition>
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<windstate>2,495,83,476,224</windstate>
<valuestate>2,735,34,416,303,0,MIDM</valuestate>
<reformval>[Region,Year]</reformval>
<att_previndexvalue>['','','','']</att_previndexvalue>
<att_resultslicestate>[Parameter,1,Statistics1,1,Year,1,Region,1]</att_resultslicestate>
</variable>
<variable name="Iiasa_data">
<title>IIASA data</title>
<definition>Table(Year,Region,Parameter)(
'200.69(199.51-201.85)','0.43(0.42-0.43)','0.51(0.51-0.51)','0.07(0.06-0.07)','0.01(0.01-0.01)','0.13(0.13-0.13)','65.76(65.00-66.48)','68.78(68.03-69.48)','27.0(26.9-27.0)','2.99(2.61-3.39)',
'761.85(750.18-772.40)','0.57(0.56-0.57)','0.39(0.39-0.40)','0.04(0.04-0.04)','0.00(0.00-0.00)','0.11(0.11-0.11)','47.85(45.70-49.77)','50.02(47.87-51.94)','21.5(21.3-21.8)','5.03(4.49-5.50)',
'332.97(328.13-338.05)','0.27(0.27-0.27)','0.56(0.56-0.56)','0.17(0.17-0.18)','0.03(0.03-0.03)','0.31(0.31-0.32)','75.65(74.98-76.35)','82.29(81.59-82.99)','37.4(37.2-37.7)','1.93(1.74-2.13)',
'579.61(576.96-582.19)','0.38(0.38-0.38)','0.53(0.53-0.53)','0.09(0.09-0.09)','0.01(0.01-0.01)','0.16(0.16-0.16)','68.11(67.37-68.80)','74.60(73.88-75.33)','29.4(29.3-29.5)','2.42(2.15-2.71)',
'63.26(63.05-63.47)','0.41(0.40-0.41)','0.52(0.52-0.52)','0.07(0.07-0.08)','0.01(0.01-0.01)','0.14(0.14-0.14)','65.67(64.97-66.39)','73.20(72.49-73.90)','28.3(28.3-28.4)','2.60(2.30-2.91)',
'205.52(204.82-206.23)','0.46(0.45-0.46)','0.49(0.48-0.49)','0.06(0.06-0.06)','0.01(0.01-0.01)','0.12(0.12-0.12)','69.23(68.55-69.92)','71.54(70.86-72.23)','25.6(25.6-25.7)','3.21(2.83-3.63)',
'1.58(1.56-1.59)','0.42(0.42-0.43)','0.50(0.50-0.51)','0.07(0.07-0.07)','0.01(0.01-0.01)','0.15(0.15-0.15)','63.28(62.62-64.00)','64.57(63.88-65.27)','27.5(27.3-27.7)','2.93(2.51-3.34)',
'1.46(1.44-1.47)','0.28(0.27-0.29)','0.61(0.60-0.61)','0.11(0.11-0.11)','0.01(0.01-0.01)','0.19(0.19-0.19)','69.21(68.47-69.86)','73.81(73.09-74.53)','34.4(34.0-34.8)','1.48(1.25-1.71)',
'529.31(527.35-531.27)','0.36(0.36-0.37)','0.55(0.55-0.55)','0.09(0.09-0.09)','0.01(0.01-0.01)','0.16(0.15-0.16)','66.61(65.86-67.31)','70.91(70.16-71.58)','30.0(29.9-30.1)','2.32(2.07-2.57)',
'151.44(150.60-152.38)','0.20(0.20-0.20)','0.54(0.54-0.54)','0.26(0.26-0.26)','0.04(0.04-0.04)','0.48(0.48-0.49)','78.68(77.97-79.43)','84.70(83.98-85.39)','42.5(42.3-42.6)','1.31(1.11-1.52)',
'461.19(458.62-463.75)','0.23(0.23-0.23)','0.56(0.56-0.56)','0.21(0.21-0.21)','0.04(0.04-0.04)','0.37(0.37-0.37)','75.26(74.55-75.96)','81.49(80.78-82.24)','39.7(39.6-39.8)','1.51(1.30-1.70)',
'120.00(119.56-120.43)','0.22(0.22-0.22)','0.59(0.59-0.59)','0.19(0.19-0.19)','0.03(0.03-0.03)','0.33(0.32-0.33)','70.00(69.27-70.70)','77.87(77.18-78.56)','39.3(39.2-39.4)','1.31(1.12-1.52)',
'229.18(228.45-229.87)','0.22(0.21-0.22)','0.60(0.60-0.60)','0.18(0.18-0.18)','0.03(0.03-0.03)','0.31(0.31-0.31)','63.06(62.34-63.71)','75.31(74.59-75.98)','39.2(39.2-39.3)','1.32(1.11-1.51)',
'6.67(6.62-6.71)','0.36(0.36-0.37)','0.53(0.53-0.53)','0.10(0.10-0.11)','0.01(0.01-0.01)','0.20(0.20-0.20)','65.08(64.07-66.01)','69.30(68.23-70.26)','30.9(30.7-31.1)','2.51(2.24-2.77)',
'204.16(202.55-205.89)','0.42(0.42-0.43)','0.51(0.51-0.51)','0.07(0.07-0.07)','0.01(0.01-0.01)','0.13(0.13-0.13)','65.96(65.04-66.90)','68.98(68.06-69.90)','27.1(27.0-27.3)','2.95(2.44-3.45)',
'780.95(766.31-794.01)','0.57(0.56-0.57)','0.39(0.38-0.40)','0.04(0.04-0.04)','0.00(0.00-0.00)','0.11(0.11-0.11)','47.62(45.28-49.77)','49.75(47.41-51.88)','21.5(21.3-21.9)','4.92(4.33-5.49)',
'335.70(330.09-341.41)','0.27(0.26-0.27)','0.56(0.55-0.56)','0.18(0.17-0.18)','0.03(0.03-0.03)','0.32(0.31-0.32)','75.85(74.98-76.77)','82.50(81.57-83.37)','37.6(37.3-37.8)','1.93(1.66-2.20)',
'587.44(583.85-591.15)','0.38(0.38-0.38)','0.53(0.53-0.54)','0.09(0.09-0.09)','0.01(0.01-0.01)','0.16(0.16-0.16)','68.26(67.38-69.21)','74.76(73.88-75.73)','29.6(29.5-29.7)','2.40(2.05-2.79)',
'64.25(63.90-64.62)','0.40(0.40-0.40)','0.52(0.52-0.53)','0.08(0.07-0.08)','0.01(0.01-0.01)','0.14(0.14-0.14)','65.89(64.96-66.78)','73.40(72.46-74.30)','28.5(28.4-28.7)','2.57(2.17-2.96)',
'209.95(208.62-211.34)','0.45(0.45-0.45)','0.49(0.49-0.49)','0.06(0.06-0.06)','0.01(0.01-0.01)','0.12(0.12-0.12)','69.42(68.58-70.38)','71.73(70.88-72.70)','25.8(25.7-26.0)','3.13(2.64-3.71)',
'1.60(1.58-1.62)','0.42(0.41-0.43)','0.50(0.50-0.51)','0.08(0.07-0.08)','0.01(0.01-0.01)','0.15(0.15-0.15)','63.46(62.56-64.34)','64.79(63.90-65.67)','27.7(27.4-28.0)','2.87(2.37-3.40)',
'1.46(1.44-1.48)','0.27(0.26-0.28)','0.61(0.60-0.62)','0.12(0.12-0.12)','0.01(0.01-0.01)','0.19(0.19-0.19)','69.36(68.40-70.22)','74.01(73.05-74.89)','34.8(34.4-35.2)','1.48(1.24-1.70)',
'535.59(532.58-538.51)','0.36(0.36-0.36)','0.55(0.55-0.56)','0.09(0.09-0.09)','0.01(0.01-0.01)','0.16(0.16-0.16)','66.80(65.84-67.67)','71.10(70.12-71.94)','30.2(30.1-30.4)','2.30(1.97-2.64)',
'151.49(150.47-152.59)','0.20(0.19-0.20)','0.53(0.53-0.54)','0.27(0.27-0.27)','0.04(0.04-0.04)','0.50(0.50-0.51)','78.88(77.99-79.78)','84.88(84.00-85.74)','42.7(42.6-42.9)','1.32(1.05-1.58)',
'461.72(458.55-464.79)','0.23(0.23-0.23)','0.56(0.56-0.56)','0.21(0.21-0.21)','0.04(0.04-0.04)','0.38(0.37-0.38)','75.45(74.54-76.38)','81.69(80.76-82.62)','39.9(39.8-40.1)','1.50(1.25-1.77)',
'119.78(119.17-120.33)','0.22(0.21-0.22)','0.59(0.59-0.59)','0.20(0.19-0.20)','0.03(0.03-0.03)','0.33(0.33-0.33)','70.17(69.28-71.12)','78.06(77.17-78.98)','39.6(39.4-39.7)','1.31(1.06-1.59)',
'228.40(227.34-229.37)','0.21(0.21-0.21)','0.60(0.60-0.61)','0.19(0.19-0.19)','0.03(0.03-0.03)','0.31(0.31-0.31)','63.44(62.53-64.31)','75.48(74.56-76.37)','39.5(39.3-39.6)','1.32(1.06-1.57)',
'6.74(6.69-6.79)','0.36(0.36-0.37)','0.53(0.53-0.54)','0.11(0.11-0.11)','0.01(0.01-0.01)','0.20(0.20-0.20)','65.15(63.89-66.29)','69.35(68.04-70.53)','31.1(30.9-31.3)','2.49(2.16-2.83)',
'207.65(205.25-210.09)','0.42(0.41-0.42)','0.51(0.51-0.52)','0.07(0.07-0.07)','0.01(0.01-0.01)','0.13(0.13-0.13)','66.21(65.04-67.37)','69.22(68.07-70.36)','27.3(27.1-27.6)','2.90(2.25-3.52)',
'799.74(781.31-815.49)','0.57(0.56-0.57)','0.39(0.38-0.40)','0.04(0.04-0.04)','0.00(0.00-0.00)','0.11(0.11-0.11)','47.41(44.80-49.73)','49.48(46.88-51.81)','21.6(21.2-22.0)','4.83(4.15-5.46)',
'338.43(331.98-345.05)','0.27(0.26-0.27)','0.55(0.55-0.56)','0.18(0.18-0.18)','0.03(0.03-0.03)','0.33(0.32-0.33)','76.09(74.93-77.17)','82.73(81.55-83.76)','37.7(37.4-38.1)','1.93(1.60-2.26)',
'595.27(589.92-600.75)','0.37(0.37-0.38)','0.54(0.53-0.54)','0.09(0.09-0.09)','0.01(0.01-0.01)','0.17(0.16-0.17)','68.46(67.37-69.61)','74.97(73.86-76.14)','29.8(29.6-30.0)','2.39(1.93-2.86)',
'65.25(64.70-65.82)','0.40(0.39-0.40)','0.53(0.52-0.53)','0.08(0.08-0.08)','0.01(0.01-0.01)','0.14(0.14-0.15)','66.10(64.93-67.17)','73.62(72.44-74.69)','28.7(28.5-28.9)','2.54(2.02-3.02)',
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'1.62(1.60-1.65)','0.42(0.41-0.43)','0.51(0.50-0.51)','0.08(0.07-0.08)','0.01(0.01-0.01)','0.15(0.15-0.15)','63.62(62.49-64.71)','65.00(63.85-66.07)','27.8(27.5-28.2)','2.84(2.24-3.47)',
'1.47(1.45-1.49)','0.27(0.25-0.28)','0.61(0.61-0.62)','0.12(0.12-0.12)','0.01(0.01-0.01)','0.20(0.20-0.20)','69.53(68.36-70.62)','74.21(73.04-75.33)','35.1(34.7-35.6)','1.47(1.24-1.71)',
'541.76(537.34-546.05)','0.36(0.35-0.36)','0.55(0.55-0.56)','0.09(0.09-0.09)','0.01(0.01-0.01)','0.16(0.16-0.16)','67.01(65.87-68.07)','71.32(70.17-72.35)','30.5(30.3-30.7)','2.30(1.88-2.71)',
'151.52(150.26-152.85)','0.20(0.19-0.20)','0.53(0.53-0.53)','0.27(0.27-0.28)','0.05(0.05-0.05)','0.52(0.51-0.52)','79.08(77.94-80.24)','85.07(83.93-86.23)','43.0(42.8-43.3)','1.32(0.99-1.66)',
'462.29(458.27-465.95)','0.23(0.22-0.23)','0.56(0.56-0.56)','0.21(0.21-0.22)','0.04(0.04-0.04)','0.38(0.38-0.39)','75.68(74.51-76.77)','81.92(80.72-83.00)','40.1(39.9-40.3)','1.51(1.18-1.83)',
'119.51(118.70-120.29)','0.21(0.21-0.22)','0.59(0.59-0.59)','0.20(0.20-0.20)','0.03(0.03-0.03)','0.34(0.34-0.34)','70.38(69.21-71.52)','78.25(77.13-79.39)','39.8(39.6-40.1)','1.32(0.99-1.66)',
'227.58(226.09-228.92)','0.21(0.20-0.21)','0.60(0.60-0.61)','0.19(0.19-0.19)','0.03(0.03-0.03)','0.31(0.31-0.32)','63.86(62.73-64.96)','75.70(74.54-76.80)','39.7(39.5-39.9)','1.33(1.00-1.63)',
'6.82(6.74-6.88)','0.36(0.35-0.36)','0.53(0.53-0.54)','0.11(0.11-0.11)','0.01(0.01-0.01)','0.20(0.20-0.20)','65.25(63.66-66.58)','69.44(67.79-70.84)','31.3(31.0-31.5)','2.48(2.08-2.88)',
'211.02(207.68-214.44)','0.42(0.41-0.42)','0.51(0.51-0.52)','0.07(0.07-0.07)','0.01(0.01-0.01)','0.14(0.13-0.14)','66.44(65.08-67.76)','69.44(68.08-70.75)','27.5(27.2-27.9)','2.86(2.21-3.45)',
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'57.35(37.88-79.75)','0.16(0.11-0.21)','0.40(0.31-0.48)','0.44(0.32-0.58)','0.18(0.08-0.36)','1.10(0.68-1.90)','88.33(70.50-105.90)','96.22(78.42-113.85)','52.3(45.2-62.6)','1.70(1.40-2.01)',
'108.19(68.91-150.06)','0.19(0.14-0.23)','0.42(0.34-0.49)','0.38(0.28-0.52)','0.14(0.06-0.29)','0.91(0.58-1.53)','82.22(64.40-99.97)','93.52(75.71-111.32)','48.6(42.6-57.6)','1.91(1.58-2.21)',
'8.41(6.20-11.04)','0.20(0.17-0.24)','0.48(0.42-0.53)','0.32(0.25-0.41)','0.10(0.05-0.19)','0.67(0.48-0.97)','80.19(62.20-100.90)','84.89(66.45-108.21)','45.4(41.1-51.2)','1.74(1.47-2.00)',
'322.70(236.44-432.88)','0.21(0.18-0.25)','0.47(0.40-0.52)','0.31(0.24-0.42)','0.09(0.04-0.19)','0.67(0.46-1.02)','84.99(66.68-102.50)','87.99(69.68-105.51)','44.6(40.3-51.0)','1.90(1.59-2.21)',
'2068.36(1386.07-2874.26)','0.26(0.22-0.29)','0.54(0.51-0.57)','0.20(0.16-0.25)','0.02(0.02-0.05)','0.36(0.28-0.49)','68.54(50.68-86.50)','72.46(54.62-90.46)','38.0(35.4-41.7)','1.80(1.48-2.10)',
'460.26(336.80-598.46)','0.20(0.16-0.24)','0.41(0.35-0.48)','0.39(0.28-0.49)','0.18(0.07-0.29)','0.96(0.59-1.38)','94.33(77.18-111.85)','100.92(83.76-117.69)','49.5(42.2-57.1)','2.01(1.69-2.31)',
'935.51(672.68-1228.52)','0.22(0.18-0.27)','0.46(0.39-0.51)','0.32(0.23-0.42)','0.10(0.04-0.21)','0.69(0.45-1.07)','86.59(68.64-104.49)','93.10(75.13-110.95)','44.7(39.6-51.7)','2.01(1.68-2.30)',
'100.90(72.35-133.07)','0.20(0.16-0.24)','0.46(0.40-0.52)','0.33(0.25-0.43)','0.10(0.05-0.21)','0.71(0.47-1.07)','83.94(66.28-102.04)','91.46(73.86-109.68)','46.0(40.9-52.1)','1.80(1.49-2.11)',
'388.48(291.17-509.72)','0.20(0.16-0.24)','0.46(0.39-0.52)','0.34(0.25-0.44)','0.11(0.05-0.22)','0.74(0.49-1.11)','88.40(70.85-105.96)','90.73(73.17-108.38)','46.6(41.2-53.0)','1.81(1.50-2.10)',
'2.00(1.39-2.71)','0.17(0.13-0.21)','0.48(0.41-0.55)','0.35(0.27-0.44)','0.08(0.04-0.18)','0.71(0.50-1.07)','80.94(63.13-99.02)','83.45(65.64-101.53)','47.3(43.1-53.0)','1.51(1.21-1.81)',
'0.83(0.57-1.18)','0.16(0.12-0.21)','0.41(0.32-0.50)','0.42(0.31-0.55)','0.16(0.07-0.32)','1.03(0.62-1.71)','86.55(68.26-105.27)','92.32(74.05-111.05)','51.2(44.6-60.3)','1.70(1.40-2.01)',
'637.88(477.82-869.36)','0.18(0.14-0.22)','0.46(0.39-0.53)','0.36(0.27-0.46)','0.10(0.05-0.22)','0.76(0.50-1.17)','84.99(67.79-103.74)','89.29(72.05-108.05)','47.5(42.6-54.4)','1.61(1.30-1.93)',
'98.93(68.26-130.17)','0.13(0.10-0.18)','0.35(0.27-0.45)','0.51(0.37-0.62)','0.27(0.11-0.42)','1.46(0.84-2.28)','97.19(79.82-114.88)','103.18(85.83-118.39)','57.7(48.4-67.6)','1.61(1.28-1.91)',
'350.10(246.86-462.16)','0.16(0.12-0.20)','0.39(0.31-0.47)','0.46(0.34-0.57)','0.21(0.09-0.37)','1.18(0.72-1.85)','93.87(76.51-111.43)','100.06(82.68-117.14)','53.5(45.9-63.2)','1.70(1.41-2.01)',
'56.62(37.41-78.52)','0.16(0.11-0.21)','0.40(0.31-0.48)','0.44(0.32-0.58)','0.19(0.08-0.36)','1.10(0.67-1.89)','88.85(70.79-106.05)','96.74(78.65-113.91)','52.4(45.3-62.5)','1.70(1.39-2.01)',
'107.57(68.06-149.52)','0.19(0.14-0.23)','0.42(0.34-0.49)','0.39(0.28-0.51)','0.14(0.06-0.29)','0.91(0.57-1.53)','82.03(64.11-100.49)','93.36(75.44-111.84)','48.6(42.5-57.8)','1.90(1.58-2.22)',
'8.39(6.16-11.05)','0.20(0.16-0.24)','0.47(0.41-0.53)','0.32(0.25-0.41)','0.10(0.05-0.19)','0.68(0.48-0.98)','80.67(62.53-101.89)','85.31(66.70-109.36)','45.5(41.1-51.4)','1.74(1.48-2.01)'
)</definition>
<nodelocation>80,40,1</nodelocation>
<nodesize>48,24</nodesize>
<nodecolor>65535,52427,65534</nodecolor>
<reformval>[Region,Year]</reformval>
<att_resultslicestate>[Parameter,2,Year,1,Region,1]</att_resultslicestate>
</variable>
<index name="Statistics1">
<title>Statistics</title>
<definition>['Mean','Fractile 0.1','Fractile 0.9']</definition>
<nodelocation>80,224,0</nodelocation>
<nodesize>48,12</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
</index>
<module name="Op_en2676">
<title>Opasnet base connection</title>
<description>Interface for uploading data to and downloading from the Opasnet Base.
<a href="http://en.opasnet.org/w/Image:Opasnet_base_connection.ANA">Wiki description</a></description>
<author>Jouni Tuomisto</author>
<date>9. maata 2008 10:42</date>
<saveauthor>ktluser</saveauthor>
<savedate>9. Febta 2010 22:50 </savedate>
<defaultsize>48,24</defaultsize>
<nodelocation>224,64,0</nodelocation>
<nodesize>48,32</nodesize>
<nodeinfo>1,0,0,1,1,1,0,0,0,0</nodeinfo>
<diagstate>1,18,25,734,523,17</diagstate>
<windstate>2,102,90,476,316</windstate>
<fontstyle>Arial, 15</fontstyle>
<att__diagramprintsca>100,1,1,1,1,9,2970,2100,15,0</att__diagramprintsca>
<outlinerstate>2,40,50,640,600</outlinerstate>
<text name="Te33">
<description>This module saves original data or model results (a study or a variable, respectively) into the Opasnet Base. You need your Opasnet username and password to do that. You must fill in all tables and fields below before the process can be completed. Fill in the data below from top to bottom.
If an object with the same Ident already exists in the Opasnet Base, the information will be added to that object.
Before you start, make sure that you have created an object page in the Opasnet wiki for each object (study or variable) you want to upload.</description>
<nodelocation>260,84,-1</nodelocation>
<nodesize>252,76</nodesize>
</text>
<formnode name="Username1">
<title>Username</title>
<definition>0</definition>
<nodelocation>168,244,1</nodelocation>
<nodesize>160,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,142,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Opasnet_username</original>
<awp_attrib>TabIndex:1 TextAlways</awp_attrib>
</formnode>
<formnode name="Password1">
<title>Password</title>
<definition>0</definition>
<nodelocation>168,268,1</nodelocation>
<nodesize>160,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,142,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Opasnet_password</original>
<awp_attrib>TabIndex:2 TextAlways</awp_attrib>
</formnode>
<button name="Upload_data">
<title>Upload data</title>
<nodelocation>456,548,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,527,95,484,451</windstate>
<script>(Lap:= 0)
(Lap:= 1)
showprogressbar('Object upload','Writing objects',0.2)
Write(W_obj,'obj')
showprogressbar('Object upload','Writing locations',0.3)
Write(W_act,'act')
Write(W_actobj, 'actobj')
(Actobj_stat1:= copyindex(W_actobj.i) )
(Actobj_stat:= W_actobj[.j='id', .i=actobj_stat1])
(Lap:= 1)
Upload_results</script>
</button>
<module name="A2_analytica_model">
<title>2 Analytica model</title>
<author>ktluser</author>
<date>1. Aprta 2009 9:38 </date>
<defaultsize>48,24</defaultsize>
<nodelocation>200,456,1</nodelocation>
<nodesize>60,32</nodesize>
<nodeinfo>1,0,0,1,1,1,0,,0,</nodeinfo>
<diagstate>1,744,88,353,272,17</diagstate>
<formnode name="N_variables1">
<title>N variables</title>
<definition>0</definition>
<nodelocation>140,60,1</nodelocation>
<nodesize>116,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>N_variables</original>
</formnode>
<text name="Te53">
<description>3 Analytica model:</description>
<nodelocation>140,28,-1</nodelocation>
<nodesize>124,12</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
<text name="Te26">
<nodelocation>140,140,-1</nodelocation>
<nodesize>124,100</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<formnode name="Object_info6">
<title>Object info</title>
<definition>0</definition>
<nodelocation>140,84,1</nodelocation>
<nodesize>116,13</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Object_info3</original>
</formnode>
<formnode name="Study_or_variable_i2">
<title>Study or variable info</title>
<definition>0</definition>
<nodelocation>140,108,1</nodelocation>
<nodesize>116,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,78,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Index_info</original>
</formnode>
<formnode name="Replace_data_1">
<title>Replace data?</title>
<definition>0</definition>
<nodelocation>140,132,1</nodelocation>
<nodesize>116,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Replace_data_</original>
</formnode>
</module>
<formnode name="Data_source1">
<title>Data source</title>
<definition>0</definition>
<nodelocation>204,380,1</nodelocation>
<nodesize>196,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,254,0,1</nodeinfo>
<original>Data_source</original>
</formnode>
<button name="Save_data_tables">
<title>Save data tables</title>
<nodelocation>456,788,1</nodelocation>
<nodesize>48,20</nodesize>
<windstate>2,102,90,476,300</windstate>
<script>showprogressbar('Data file saving','Writing Cell',0.2)
tablefy(W_cell,'cell.csv')
showprogressbar('Data file saving','Writing Loccell',0.4)
tablefy(W_loccell,'loccell.csv')
showprogressbar('Data file saving','Writing Resinfo',0.6)
tablefy(W_resinfo,'resinfo.csv')
showprogressbar('Data file saving','Writing Res',0.8)
tablefy(W_res,'res.csv')
showprogressbar('Data file saving','Done',1)
</script>
</button>
<formnode name="Platform1">
<title>Platform</title>
<definition>0</definition>
<nodelocation>168,316,1</nodelocation>
<nodesize>160,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,142,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Platform</original>
</formnode>
<formnode name="Writerpsswd1">
<title>Writerpsswd</title>
<definition>0</definition>
<nodelocation>168,292,1</nodelocation>
<nodesize>160,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,142,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Writerpsswd</original>
</formnode>
<button name="Upload_basic_data">
<title>Upload basic data</title>
<nodelocation>456,740,1</nodelocation>
<nodesize>48,20</nodesize>
<windstate>2,31,25,825,576</windstate>
<script>showprogressbar('Data upload','Writing objects',0.2)
Write(W_obj,'Obj')
showprogressbar('Data upload','Writing locations',0.3)
Write(W_act,'Objinfo')
Write(W_loc,'Loc')
showprogressbar('Data upload','Upload completed',1)</script>
</button>
<text name="Te52">
<description>C) For very large variables: Upload only the object and location information. Create csv files of other data to c:\temp\ and upload them separately (you need a direct access to the Opasnet Base).</description>
<nodelocation>264,748,-1</nodelocation>
<nodesize>256,68</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<module name="Detailed_help_for_an">
<title>Detailed help for Analytica use</title>
<author>jtue</author>
<date>8. kesta 2009 14:27 </date>
<defaultsize>48,24</defaultsize>
<nodelocation>372,184,1</nodelocation>
<nodesize>116,16</nodesize>
<diagstate>1,681,15,586,564,17</diagstate>
<text name="Te36">
<description>Follow these instructions if you have Analytica Enterprise and have an ODBC connection to the Opasnet Base. Read also the simplified help; not everything is repeated here.</description>
<nodelocation>284,36,-1</nodelocation>
<nodesize>276,28</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
<text name="Te44">
<description>Platform:
You must choose THL computer if you are not using the AWP web interface.</description>
<nodelocation>284,92,-1</nodelocation>
<nodesize>276,20</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<text name="Te46">
<description>Writerpsswd:
You must know the writer password for the Opasnet Base if you are not using the AWP web interface.</description>
<nodelocation>284,149,-1</nodelocation>
<nodesize>276,29</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<text name="Te47">
<description>Object info:
- Data source:
1 means that you are copy-pasting data to the 'Observations' field.
2 means that you have a 2D table in an Analytica node. The node must have column index .j (note: it is a local index!) and row index .i. The names of the columns must be in the index .j, and the first row must contain data.
3 means that you have a typical Analytica node with n indices; one of the indices may be Run. The node is transformed into a 2D table using MDArrayToTable.
- Analytica identifier is the identifier of the node to be used. The name must be given between 'quotation marks', i.e. as text.
- Ident: like in the simplified upload.
- Number of indices: like in the simplified upload if data source 2 is used; for 3, the number of indices comes from the node, and this entry is ignored.
- Parameter name: like in the simplified upload if data source 2 is used; for 3, the parameter is implicit, and this entry is ignored.
- Probabilistic?: like in the simplified upload if data source 2 is used; for 3, if this entry is 1, the sample mode is used and the full distribution is saved, if the entry is not 1, the mid mode is used.
- Append to upload: like in the simplified upload.</description>
<nodelocation>284,357,-1</nodelocation>
<nodesize>276,173</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
</module>
<button name="Upload_non_public_da">
<title>Upload non-public data</title>
<nodelocation>456,631,1</nodelocation>
<nodesize>48,31</nodesize>
<windstate>2,422,44,825,430</windstate>
<script>showprogressbar('Data upload','Reading object Info1_2', 0)
(Cardinals:= array(table1,[card('Obj'), card('Cell'), card('Loc'), card('Loccell'), card('Sett'), card('Item'), card('Res')]))
showprogressbar('Data upload','Writing objects',0.2)
Write(W_obj,'Obj')
showprogressbar('Data upload','Writing locations',0.3)
O_i:= DBquery(odbc,'SELECT * FROM Obj ')
O_j:= DBlabels(O_i)
(Obj2:= DBTable(O_i, O_j))
(O_j:= copyindex(O_j))
(O_i:= copyindex(O_i))
Write(W_act,'Objinfo')
Write(W_loc,'Loc')
showprogressbar('Data upload','Reading sets and items',0.4)
S_i:= DBquery(odbc,' SELECT * FROM Sett ')
S_j:= DBlabels(S_i)
(Sett1:= DBTable(S_i, S_j ))
(S_i:= copyindex(S_i))
(S_j:= copyindex(S_j))
I_i:= DBquery(odbc,'SELECT Ind.id as id, Ind.Ident as Iident, Ind.Name as Iname, Dim.id as Did, Dim.Ident as Dident, Dim.Name as Dname FROM Obj as Ind, Obj as Dim, Sett, Item WHERE Ind.id = Item.Obj_id AND Dim.id = Sett.Obj_id AND Item.Sett_id=Sett.id AND Sett.Settype_id = 1 ')
I_j:= DBlabels(I_i)
(Ind1:= DBtable(I_i, I_j))
(I_j:= copyindex(I_j))
(I_i:= copyindex(I_i))
L_i:= DBquery(odbc,' SELECT Loc.*, Ind.* FROM Loc, Obj as Ind WHERE Loc.Obj_id_i = Ind.id ')
L_j:= DBlabels(L_i)
(Loc1:= DBtable(L_i, L_j))
(L_j:= copyindex(L_j))
(L_i:= copyindex(L_i))
showprogressbar('Data upload','Writing cell Info1_2',0.6)
Write(W_loccell,'Loccell')
showprogressbar('Data upload','Writing cell Info1_2',0.7)
Write(W_cellsec,'Cell')
showprogressbar('Data upload','Writing results', 0.8)
Write(W_res, 'Ressec')
Write(W_resinfo, 'Resinfosec')
showprogressbar('Data upload','Upload completed',1)</script>
</button>
<text name="In_case">
<description>B) Upload so that the actual data is not visible without a password. Metadata is visible anyway.</description>
<nodelocation>264,624,-1</nodelocation>
<nodesize>256,48</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<windstate>2,693,146,476,224</windstate>
</text>
<text name="Te41">
<description>Upload data:</description>
<nodelocation>264,516,-1</nodelocation>
<nodesize>256,12</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
<text name="Te51">
<description>A) The default: Upload all data directly to Opasnet Base.</description>
<nodelocation>264,548,-1</nodelocation>
<nodesize>256,20</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<module name="Basic_help_and_expla">
<title>Basic help and explanations</title>
<author>jtue</author>
<date>8. kesta 2009 14:27 </date>
<defaultsize>48,24</defaultsize>
<nodelocation>128,184,1</nodelocation>
<nodesize>120,16</nodesize>
<diagstate>1,684,5,586,824,17</diagstate>
<text name="Te30">
<description>Object info:
* You must give your Opasnet username and password to upload data. The username will be stored together with the upload information.
*Object info contains the most important metadata about your data.
- Data source must be 1 when using AWP.
- Analytica identifier is ignored when using AWP.
- Ident is the page identifier in Opasnet. If your study or variable does not already have a page, you must create one. The identifier is found in the metadata box in the top right corner of the Opasnet page.
- Number of indices is the number of columns that contain explanatory information (see below).
- Parameter name is a common name for all data columns. If omitted, 'Parameter' is used. See below for more details.
- If "Probabilistic?" is 1, then each row of the data table is considered a random draw from a data pool. Note that it is assumed that the index values are assumed the same in all rows, and only the index values of the first row are stored.
- Append to upload: Typically, each data upload event is given a separate identifier. If you want to continue an existing upload of the same object, you can give the number of that upload, and the new data will be appended.</description>
<nodelocation>284,408,-1</nodelocation>
<nodesize>276,176</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<text name="Te31">
<description>Data structure:
* Data must be uploaded in the format of a two-dimensional table. The table has rows, one observation in each row, and columns (fields).
* There are two kinds of columns. A) Index columns (also called independent variables in statistics) contain determinants of the actual data, such as sex of the observed individuals, or the observation year. B) Parameter columns (also called dependent variables) contain the actual data about the observations, given the index information.
* The first row must contain the names of the columns, i.e. the indices and parameters. These names are used when creating indices in the Opasnet Base.</description>
<nodelocation>284,128,-1</nodelocation>
<nodesize>276,96</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<text name="Te38">
<description>Observations:
* The data are copy-pasted into the field 'Observations'. The source of the data can be any spreadsheet or text processor, as long as each column is separated by a tab, and each row by a line break. Note that the pasted data should be between 'quotation marks'.</description>
<nodelocation>284,640,-1</nodelocation>
<nodesize>276,48</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<text name="Te42">
<description>Data info:
Fill in the additional information about the data. These are asked for the object, and also for all the indices and the parameter. Note that is an entry with the identical Ident already exists in the Opasnet Base, this information will NOT be uploaded but the existing information will be used instead. All information should be between 'quotation marks' so that they are not mistakenly interpreted as Analytica node identifiers.
- Name: a description that may be longer than an identifier. This is typically identical to the respective page in Opasnet.
- Unit: unit of measurement.</description>
<nodelocation>284,788,-1</nodelocation>
<nodesize>276,92</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<text name="Te43">
<description>Follow these instructions if you are using the Internet interface (AWP).</description>
<nodelocation>284,20,-1</nodelocation>
<nodesize>276,12</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
<text name="Te48">
<description>Uploading:
* There are two ways of uploading data. A) 'Upload data' is a public format, and all details are openly available. B) 'Upload non-public data' stores the actual data (the values in the parameter columns) into a database that requires a password for reading. However, all other information (including upload metadata and the data in the index fields) are openly available.</description>
<nodelocation>284,944,-1</nodelocation>
<nodesize>276,56</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
</module>
<text name="Te37">
<description>Provide general information:</description>
<nodelocation>264,220,-1</nodelocation>
<nodesize>256,12</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
<text name="Te40">
<description><a href="http://en.opasnet.org/w/Image:Opasnet_base_connection.ANA">Wiki description</a></description>
<nodelocation>592,40,-1</nodelocation>
<nodesize>48,28</nodesize>
</text>
<text name="Te49">
<description>Choose the format of input data.</description>
<nodelocation>264,356,-1</nodelocation>
<nodesize>256,12</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
<module name="A1_copy_paste_a_data">
<title>1 Copy-paste a data table</title>
<author>ktluser</author>
<date>4. Febta 2010 7:10 </date>
<defaultsize>48,24</defaultsize>
<nodelocation>72,456,1</nodelocation>
<nodesize>60,32</nodesize>
<diagstate>1,701,26,554,389,17</diagstate>
<formnode name="Study_or_variable_i1">
<title>Study or variable info</title>
<definition>0</definition>
<nodelocation>164,268,1</nodelocation>
<nodesize>112,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,78,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Index_info</original>
</formnode>
<text name="Te50">
<description>Copy-paste a data table. </description>
<nodelocation>304,168,-1</nodelocation>
<nodesize>252,120</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<windstate>2,693,146,476,224</windstate>
</text>
<text name="Te32">
<description>Providing upload data:</description>
<nodelocation>304,36,-1</nodelocation>
<nodesize>252,12</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
<formnode name="Observations3">
<title>Observations</title>
<definition>0</definition>
<nodelocation>308,152,1</nodelocation>
<nodesize>248,80</nodesize>
<nodeinfo>1,0,0,1,0,0,0,366,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Observations2</original>
<awp_attrib>TabIndex:3</awp_attrib>
</formnode>
<formnode name="Data_table8">
<title>Data table</title>
<definition>1</definition>
<nodelocation>452,269,1</nodelocation>
<nodesize>104,13</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<original>Data_table</original>
</formnode>
<text name="Te39">
<description>Check that your data table looks sensible.</description>
<nodelocation>408,244,-1</nodelocation>
<nodesize>148,12</nodesize>
</text>
<formnode name="Object_info8">
<title>Object info</title>
<definition>0</definition>
<nodelocation>160,245,1</nodelocation>
<nodesize>112,13</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Object_info1_2</original>
</formnode>
<variable name="View_the_uploaded_da">
<title>View the uploaded data</title>
<description>The largest id values for the selected Opasnet Base tables. The table is updated by pressing the R_cardinals button.</description>
<definition>get_mean(Object_info_for_lap[Info='Ident'])</definition>
<nodelocation>288,328,1</nodelocation>
<nodesize>88,16</nodesize>
<windstate>2,440,279,476,332</windstate>
<defnstate>2,193,270,416,303,0,MIDM</defnstate>
<valuestate>2,43,59,735,421,0,MIDM</valuestate>
<nodecolor>39325,65535,39321</nodecolor>
<reformval>[Sys_localindex('IN1'),Sys_localindex('IN2')]</reformval>
<numberformat>2,I,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att_resultslicestate>[Sys_localindex('IN3'),1,Sys_localindex('IN4'),1,Sys_localindex('IN5'),1,Sys_localindex('IN6'),1,Sys_localindex('IN7'),1,Sys_localindex('IN8'),13,Sys_localindex('IN2'),1,Sys_localindex('IN1'),1]</att_resultslicestate>
</variable>
</module>
<module name="A3_node_to_be_format">
<title>3 Node to be formatted as data table</title>
<author>ktluser</author>
<date>4. Febta 2010 7:10 </date>
<defaultsize>48,24</defaultsize>
<nodelocation>328,456,1</nodelocation>
<nodesize>60,32</nodesize>
<diagstate>1,729,57,382,341,17</diagstate>
<index name="Columns">
<title>Columns</title>
<definition>['Age','Weight']</definition>
<nodelocation>224,272,1</nodelocation>
<nodesize>48,12</nodesize>
<aliases>[Formnode Columns1]</aliases>
<att_previndexvalue>['Age','Weight']</att_previndexvalue>
</index>
<formnode name="N_rows1">
<title>N_rows</title>
<definition>0</definition>
<nodelocation>172,125,1</nodelocation>
<nodesize>116,13</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>N_rows</original>
</formnode>
<text name="Te45">
<description>First row must contain values, not column names!</description>
<nodelocation>172,148,-1</nodelocation>
<nodesize>124,100</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<formnode name="Analytica_table2">
<title>Analytica table</title>
<definition>0</definition>
<nodelocation>172,148,1</nodelocation>
<nodesize>116,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Analytica_table</original>
</formnode>
<formnode name="Columns1">
<title>Columns</title>
<definition>0</definition>
<nodelocation>172,101,1</nodelocation>
<nodesize>116,13</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<original>Columns</original>
</formnode>
<text name="Te25">
<description>2 Node formatted as data table:</description>
<nodelocation>172,36,-1</nodelocation>
<nodesize>124,12</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
<formnode name="Object_info7">
<title>Object info</title>
<definition>0</definition>
<nodelocation>172,172,1</nodelocation>
<nodesize>116,13</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Object_info1_2</original>
</formnode>
<formnode name="Study_or_variable_i3">
<title>Study or variable info</title>
<definition>0</definition>
<nodelocation>172,196,1</nodelocation>
<nodesize>116,12</nodesize>
<nodeinfo>1,0,0,1,0,0,0,78,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Index_info</original>
</formnode>
</module>
<module name="A4_ready_made_data_t">
<title>4 Ready-made data-table node</title>
<author>ktluser</author>
<date>4. Febta 2010 7:10 </date>
<defaultsize>48,24</defaultsize>
<nodelocation>456,456,1</nodelocation>
<nodesize>60,32</nodesize>
<diagstate>1,770,118,445,300,17</diagstate>
<formnode name="Data_table5">
<title>Data table4</title>
<definition>0</definition>
<nodelocation>148,37,1</nodelocation>
<nodesize>100,13</nodesize>
<nodeinfo>1,0,0,1,0,0,0,72,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Data_table4</original>
</formnode>
</module>
<module name="Model_details">
<title>Model details</title>
<author>ktluser</author>
<date>4. Febta 2010 7:10 </date>
<defaultsize>48,24</defaultsize>
<nodelocation>576,784,1</nodelocation>
<nodesize>48,24</nodesize>
<nodeinfo>1,0,0,1,1,1,0,,0,</nodeinfo>
<diagstate>1,419,46,615,547,17</diagstate>
<module name="Writer">
<title>Writer</title>
<author>jtue</author>
<date>24. maata 2009 9:36 </date>
<defaultsize>48,24</defaultsize>
<nodelocation>184,40,1</nodelocation>
<nodesize>48,24</nodesize>
<diagstate>1,559,13,690,439,17</diagstate>
<variable name="W_loc">
<title>W loc</title>
<description>Makes a table to be written to the Loc table.</description>
<definition>var a:= Locations;
var b:= a[.j='obj_id_i'];
var c:= cardinals[table1='loc']+a[@.j=1];
a:= array(a.j,[c, c, findid(b,obj,'ident'), a, a, a]);
textify(a)</definition>
<nodelocation>432,240,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,84,125,476,245</windstate>
<valuestate>2,642,68,606,278,0,MIDM</valuestate>
<nodecolor>65535,45873,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att__tableprintscali>100,1,1,1,1,9,2970,2100,15,0</att__tableprintscali>
<att_resultslicestate>[Sys_localindex('I'),16,Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<variable name="W_loccell">
<title>W loccell</title>
<description>Slices fields that are needed in the Locres table from Inp_locres.</description>
<definition>var a:= Loccells;
var b:= textify(findid(a[.j='id'], obj, 'ident'));
var c:= textify(a[.j='loc_id']);
b:= findid(b&'+'&c, (if Loc.j='obj_id_i' then Loc&'+'&Loc[.j='location'] else Loc), 'obj_id_i');
a:= array(a.j,[(@a.i+cardinals[table1='loccell']), (a+cardinals[table1='cell']), b]);
textify(a)</definition>
<nodelocation>432,328,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,776,90,476,487</windstate>
<valuestate>2,178,73,453,537,0,MIDM</valuestate>
<nodecolor>65535,45873,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,I,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
</variable>
<variable name="W_cell">
<title>W cell</title>
<description>Slices the fields that are needed in the Res table. Removes duplicate rows.</description>
<definition>var a:= Cells;
a:= array(a.j, [
a[.j='id']+cardinals[table1='cell'],
actobj_stat[@actobj_stat1=lap], a, a, a]);
textify(a)</definition>
<nodelocation>432,280,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,759,203,476,379</windstate>
<valuestate>2,14,241,659,368,0,MIDM</valuestate>
<nodecolor>65535,45873,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
</variable>
<variable name="W_obj">
<title>W obj</title>
<description>Selects relevant information for the Obj table from Objects1 node.</description>
<definition>var a:= Objects;
var b:= if a[.j='ident'] = 0 then -1 else a[.j='ident'];
b:= findid(b, obj, 'ident');
b:= if b='0' then cardinals[table1='obj']+a[.j='id'] else b;
a:= if a.j='id' then b else a;
textify(a)</definition>
<nodelocation>432,160,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,372,300,476,343</windstate>
<valuestate>2,429,135,626,444,0,MIDM</valuestate>
<nodecolor>65535,45873,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,I,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att__totalsindex>[]</att__totalsindex>
</variable>
<variable name="W_act">
<title>W act</title>
<description>Makes a list of objects that contains some additional information to be written into the Objinfo table.</description>
<definition>var a:= Acts;
a:= if a.j='id' {or a.j='series_id'} then a+cardinals[table1='act'] else a;
a:= if a=null or a=0 then '' else a&''</definition>
<nodelocation>432,200,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,66,82,476,340</windstate>
<valuestate>2,34,242,690,459,0,MIDM</valuestate>
<nodecolor>65535,45873,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,I,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att_resultslicestate>[Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<variable name="W_res">
<title>W res</title>
<definition>var a:= Results;
index i:= subset(if a[.j='result']=null and a[.j='description']=0 then 0 else 1);
a:= a[.i=i];
a:= array(a.j, [textify(a.i+Cardinals[table1='res']), textify(a+ Cardinals[table1='cell']), textify(a),a,a]);
if a=null then '' else a</definition>
<nodelocation>432,368,1</nodelocation>
<nodesize>48,13</nodesize>
<windstate>2,629,191,582,297</windstate>
<valuestate>2,461,218,609,375,0,MIDM</valuestate>
<nodecolor>65535,45873,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att__totalsindex>[]</att__totalsindex>
</variable>
<variable name="Object_info_for_lap">
<title>Object info for lap</title>
<description>Additional information for each index and decision node. Description node is the name of a node containing information about the locations of the index. It must be indexed by the index.</description>
<definition>Object_info[N_vars=Lap]</definition>
<nodelocation>176,336,1</nodelocation>
<nodesize>48,20</nodesize>
<windstate>2,140,217,476,224</windstate>
<defnstate>2,653,25,488,226,0,MIDM</defnstate>
<valuestate>2,104,359,460,228,0,MIDM</valuestate>
<nodecolor>52425,39321,65535</nodecolor>
<reformdef>[N_vars,Info]</reformdef>
<reformval>[N_vars,Info]</reformval>
<att__discretenessinf>[1,1,1,0]</att__discretenessinf>
</variable>
<variable name="Index_info">
<title>Index info</title>
<definition>Table(Ind_info,Indices)(
'Year','Region','Parameter','Statistics',
'a','-','-','-'
)</definition>
<nodelocation>384,32,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,102,90,476,349</windstate>
<defnstate>2,559,220,666,349,0,MIDM</defnstate>
<valuestate>2,184,194,660,316,0,MIDM</valuestate>
<aliases>[Formnode Study_or_variable_i2, Formnode Study_or_variable_i1, Formnode Study_or_variable_i3]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<reformdef>[Ind_info,Indices]</reformdef>
<reformval>[Ind_info,Indices]</reformval>
<displayoutputs>[]</displayoutputs>
</variable>
<index name="Ind_info">
<title>Ind info</title>
<definition>['name','unit']</definition>
<nodelocation>384,56,1</nodelocation>
<nodesize>48,13</nodesize>
<displayoutputs>[]</displayoutputs>
<att_previndexvalue>['name','unit']</att_previndexvalue>
</index>
<variable name="Loccells">
<title>Loccells</title>
<description>Makes a list of all locations in all results in all variables. The list is as long as is needed for the Loccell table. A subset is taken then for the Cell table.
1) Initialises local variables, and slices variables from Object1.
2)-4) Does the process for each variable one at a time. This happens in function Loccell.
5) Makes i the row index.</description>
<definition>var a:= Data_table;
index h:= a.j[@.j=1..size(a.j)-2];
a:= a[.j=h];
var d:= max(Data_table[.j='obs'],Data_table.i);
a:= if 1-proba then
(index itemp:= copyindex(a.i); a[.i=itemp]) else (
index grun:= 1..d;
index itemp:= 1..size(a.i)/d;
a:= a[@.i=(itemp-1)*d+grun];
a:= a[@grun=1]);
index j:= ['id', 'cell_id', 'loc_id'];
index i:= 1..size(a);
a:= array(j,[h, @a.itemp, a]);
concatrows(a,h,a.itemp,i)</definition>
<nodelocation>320,328,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,643,26,526,596</windstate>
<valuestate>2,70,181,552,488,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I'),Undefined,Undefined,Undefined,1]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att__totalsindex>[]</att__totalsindex>
<att_resultslicestate>[Sys_localindex('J'),2,Sys_localindex('ITEMP'),1,Sys_localindex('H'),1]</att_resultslicestate>
</variable>
<variable name="Results">
<title>Results</title>
<description>The usage of local variables: a: the temporary variable that is being edited. e: cardinal of the Cell table. f: cardinal of the Res table. j: output column headings. i: output row numbers. NOTE! ONLY THE DETERMINISTIC VERSION WORKS AT THE MOMENT.
1) Only one piece of information (Observations) is included.
2)-5) The process is done for each variable one at a time (this is indexed by x).
3) Several within-loop local variables are initiated.
4) The variable is given index runn which is equal to run if probabilistic and [0] if not. The array is flattened first to 2-D, the value only is kept.
5) Variables are concatenated to each other.
6) Index i is made the index of the implicit index.
NOTE! This node MUST be formatted to Integer, otherwise Res_id will be stored in a wrong format.</description>
<definition>var e:= 0;
var f:= 0;
var a:= Data_table[.j='result'];
var d:= max(Data_table[.j='obs'],Data_table.i);
var b:= if 1-proba then @a.i else (
floor((@a.i-1)/d)+1);
index j:= ['id','cell_id','obs','result','restext'];
array(j,[0, b, Data_table[.j='obs'], (if istext(a) then '' else a) , (if istext(a) then a else '')])</definition>
<nodelocation>320,368,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,634,23,581,615</windstate>
<valuestate>2,662,12,469,411,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att_resultslicestate>[Run,2,Sys_localindex('J'),1,Sys_localindex('I'),1]</att_resultslicestate>
</variable>
<variable name="Locations">
<title>Locations</title>
<description>The format of this node MUST be integer, so that the id and Roww values are stored correctly.</description>
<definition>var a:= data_table;
var b:= [0];
var c:= [0];
var x:= 1;
while x<= size(a.j)-2 do (
var h:= a[@.j=x];
var d:= h[.i=unique(h,h.i)];
b:= concat(b,d);
c:= concat(c,(if d=0 then slice(a.j,x) else slice(a.j,x)));
x:= x+1);
index i:= 1..size(b)-1;
index j:= ['id', 'std_id', 'obj_id_i', 'location', 'description'];
a:= array(j,[i, i, slice(c,i+1), slice(b,i+1), ''])</definition>
<nodelocation>320,240,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,68,138,476,581</windstate>
<valuestate>2,92,398,746,259,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att_resultslicestate>[Sys_localindex('D'),1,Object_all3,1,Age,1]</att_resultslicestate>
</variable>
<variable name="Data_table">
<title>Data table</title>
<definition>{var N_indices:= Object_info_for_lap[Info='number of indices'];
var b:= }
evaluate('Data_table'&selecttext(Data_source,1,1))
{;
var a:= if b=1 then Data_table1 else if b=2 then analytica_table else analytica_node;
if b>=3 then a else (
index h:= a.columns[@a.columns=1..N_indices];
var c:= Object_info_for_lap[Info='parameter name', @N_vars=1];
c:= if c='' or c=0 then 'parameter' else c;
index j:= concat(h,[c,'result','obs']);
index parameter:= a.columns[@a.columns=N_indices+(1..size(a.columns)-N_indices)];
index temp:= 1..size(a.rows)*size(parameter);
var conv:= if j='result' then @parameter+N_indices else @j;
a:= a[@.columns=conv];
a:= if @j=size(j)-2 then parameter else a;
a:= if @j=size(j) then @a.rows else a;
a:= concatrows(a, parameter, a.rows, temp);
a:= if j='result' then
(var d:= a[j='result']; if evaluate(d)=null then d else evaluate(d)) else a;
index i:= Subset(a[j='result']<>null);
a[temp=i]);
}</definition>
<nodelocation>176,208,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,4,175,482,501</windstate>
<valuestate>2,762,82,521,338,0,MIDM</valuestate>
<aliases>[Formnode Data_table8]</aliases>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att__discretenessinf>[1,1,1,0]</att__discretenessinf>
<att_resultslicestate>[Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<index name="Info">
<title>Info</title>
<definition>['Analytica identifier','ident','name','unit','number of indices','parameter name','probabilistic?']</definition>
<nodelocation>240,48,1</nodelocation>
<nodesize>48,13</nodesize>
<windstate>2,102,90,476,379</windstate>
<valuestate>2,90,166,416,303,0,MIDM</valuestate>
<displayoutputs>[]</displayoutputs>
<att_previndexvalue>['Analytica identifier','ident','name','unit','number of indices','parameter name','probabilistic?']</att_previndexvalue>
</index>
<variable name="Objects">
<title>Objects</title>
<description>19.10.2009 Jouni Tuomisto
The Run/Name = Method cell is problematic. It was designed for one-variable uploads, and now it contains both upload-specific and variable-specific information. This should be solved somehow but I don't know how. So, I just make it technically work and don't worry about it now. Some variable-specific info is omitted, some is taken from the first variable.
5.1.2010 Jouni Tuomisto
Variable-specific parts are simply rejected.</description>
<definition>Index j:= ['id','ident','name','unit','objtype_id','page','wiki_id'];
index i:= concat(N_vars,indices);
var Ident:= if @i <= size(N_vars) then Object_info[Info='ident', @N_vars=@i] else i;
var a:= Index_info[indices=i, Ind_info=j];
a:= if a=null then '' else a;
var e:= Object_info[N_vars=i, Info=j];
a:= if e=null then a else e;
var b:= sum(findintext(wikis,ident)*@wikis,wikis);
var c:= if b=0 then '' else wikis[@wikis=b];
c:= if b=0 then '2664' else selecttext(ident,1+textlength(c));
a:= array(j,[
@i,
ident,
a,
a,
if @i<= size(N_vars) then 1 else 6,
if i='run' then '2817' else c&'',
if b=0 then '1' else b&''])</definition>
<nodelocation>320,160,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,573,29,547,724</windstate>
<valuestate>2,11,31,656,283,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<att_resultslicestate>[Indices,1,Sys_localindex('J'),1,Sys_localindex('I'),1]</att_resultslicestate>
</variable>
<variable name="Observations2">
<title>Observations</title>
<definition>'Test1	Value
1	2nh
2	30'</definition>
<nodelocation>64,256,1</nodelocation>
<nodesize>52,16</nodesize>
<windstate>2,586,79,476,465</windstate>
<aliases>[Formnode Observations3]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
</variable>
<variable name="Data_table1">
<title>Data table1</title>
<description>var a:= splittext(textreplace(Observations2, chr(10),'',true),chr(13));
index i:= 1..size(a);
a:= slice(a,i);
a:= splittext(a, chr(9));
index j:= 1..size(a)/size(i);
for y:= i do (slice(a[i=y],j))</description>
<definition>var a:= splittext(textreplace(Observations2, chr(10),'',true),chr(13));
index columns:= splittext(slice(a,1), chr(9));
index rows:= 1..size(a)-1;
a:= slice(a,rows+1);
a:= splittext(a, chr(9));
a:= for y:= rows do (slice(a[rows=y],@columns));
indexify(a)</definition>
<nodelocation>64,208,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,7,115,476,362</windstate>
<valuestate>2,761,412,476,386,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<att__discretenessinf>[1,1,1,0]</att__discretenessinf>
</variable>
<chance name="Testvariable">
<title>Testvariable</title>
<definition>Table(Time,Testindex)(
uniform(0,1),
uniform(1,2),
uniform(2,3)
)</definition>
<nodelocation>544,440,1</nodelocation>
<nodesize>48,24</nodesize>
<valuestate>2,40,50,416,303,0,MIDM</valuestate>
<reformdef>[Time,Testindex]</reformdef>
<reformval>[Time,Testindex]</reformval>
<att__discretenessinf>[1,0,0,0]</att__discretenessinf>
</chance>
<index name="Testindex">
<title>Testindex</title>
<definition>['item 1']</definition>
<nodelocation>544,472,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,102,90,476,224</windstate>
<att_previndexvalue>['item 1']</att_previndexvalue>
</index>
<variable name="W_cellsec">
<title>W cellsec</title>
<description>Slices the fields that are needed in the Res table. Removes duplicate rows.</description>
<definition>(if w_cell.j = 'mean' then '' else W_cell)</definition>
<nodelocation>544,280,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,782,213,476,379</windstate>
<valuestate>2,41,191,618,368,0,MIDM</valuestate>
<nodecolor>65535,45873,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
</variable>
<variable name="Cells">
<title>Cells</title>
<description>Makes a list of all locations in all results in all variables. The list is as long as is needed for the Loccell table. A subset is taken then for the Cell table.
1) Initialises local variables, and slices variables from Object1.
2)-4) Does the process for each variable one at a time. This happens in function Loccell.
5) Makes i the row index.</description>
<definition>var a:= Data_table[@.j=size(Data_table.j)-1];
index j:= ['id', 'actobj_id', 'mean', 'sd', 'n'];
var d:= max(Data_table[.j='obs'],Data_table.i);
index temp:= ['mean','sd'];
a:= if 1-proba then array(temp,[a,'']) else (
index grun:= 1..d;
index i:= 1..size(a.i)/d;
a:= a[@.i=(i-1)*d+grun];
a:= array(temp,[mean(a,grun), sdeviation(a[j='mean'],grun)]) );
a:= array(j,[
@a.i,
'',
a[temp='mean'],
a[temp='sd'],
d])</definition>
<nodelocation>320,280,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,721,20,526,639</windstate>
<valuestate>2,304,464,608,328,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I'),Undefined,Undefined,Undefined,1]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att__totalsindex>[]</att__totalsindex>
<att_resultslicestate>[N_vars,2,Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<variable name="Data_table2">
<title>Data table2</title>
<description>19.10.2009 Jouni Tuomisto
If the variable is deterministic, Obs is 0. It is not clear whether it should be or not. This should be checked with other upload methods (1-3) to see that they are consistent.</description>
<definition>var a:= Object_info_for_lap[Info='Analytica identifier'];
index jtemp:= concat(indexnames(getfract(evaluate(a),0.5)),['result','obs']);
index j:= textreplace(jtemp,'.','');
a:= if proba then sample(evaluate(a)) else evaluate(a);
index temp:= concat(indexnames(a),['result']);
index i:= 1..size(a);
a:= Mdarraytotable(a, i, temp);
a:= if j='obs' and proba then a[temp='Run'] else a[temp=jtemp];
a:= a[@jtemp = @j];
a:= if a=null then 0 else a</definition>
<nodelocation>64,336,1</nodelocation>
<nodesize>48,20</nodesize>
<windstate>2,53,195,476,444</windstate>
<valuestate>2,56,66,630,303,0,MIDM</valuestate>
<reformval>[Sys_localindex('I'),Sys_localindex('J')]</reformval>
<att__discretenessinf>[1,1,1,0]</att__discretenessinf>
<att_resultslicestate>[N_vars,1,Sys_localindex('J'),1,Sys_localindex('I'),1]</att_resultslicestate>
</variable>
<variable name="Proba">
<title>Proba</title>
<definition>var a:= Object_info_for_lap[Info='probabilistic?'];
(a=1 or a='Yes' or a='Y' or a='yes' or a='y')</definition>
<nodelocation>176,392,1</nodelocation>
<nodesize>48,16</nodesize>
</variable>
<variable name="Data_source">
<title>Data source</title>
<definition>Choice(Self,2,False)</definition>
<nodelocation>176,160,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,102,90,476,224</windstate>
<aliases>[Formnode Data_source1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<domain>['1 Copy-paste table','2 Analytica model','3 Node to be formatted as data table','4 Ready-made data table node']</domain>
<att__discretenessinf>[1,1,0,0]</att__discretenessinf>
</variable>
<index name="N_vars">
<title>N vars</title>
<definition>1.. (if selecttext(Data_source,1,1)='3' then N_variables else 1)</definition>
<nodelocation>240,72,1</nodelocation>
<nodesize>48,12</nodesize>
<displayoutputs>[]</displayoutputs>
<att_previndexvalue>[1]</att_previndexvalue>
</index>
<variable name="N_variables">
<title>N variables</title>
<definition>1</definition>
<nodelocation>240,96,1</nodelocation>
<nodesize>48,12</nodesize>
<aliases>[Formnode N_variables1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
</variable>
<variable name="Lap">
<title>Lap</title>
<definition>1</definition>
<nodelocation>64,392,1</nodelocation>
<nodesize>48,16</nodesize>
<att__discretenessinf>[0,1,0,1]</att__discretenessinf>
</variable>
<index name="Indices">
<title>Indices</title>
<definition>copyindex(Find_ind)</definition>
<nodelocation>384,76,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,140,321,476,409</windstate>
<valuestate>2,40,50,416,303,0,MIDM</valuestate>
<displayoutputs>[]</displayoutputs>
<att_previndexvalue>['Year','Region','Parameter','Statistics1']</att_previndexvalue>
</index>
<variable name="Test2">
<title>Test2</title>
<definition>Table(Self)(
1,2,3)</definition>
<indexvals>['item 1','item 2','item 3']</indexvals>
<nodelocation>544,384,1</nodelocation>
<nodesize>48,24</nodesize>
<att__discretenessinf>[1,1,0,1]</att__discretenessinf>
</variable>
<variable name="Object_info">
<title>Object info</title>
<description>Additional information for each index and decision node. Description node is the name of a node containing information about the locations of the index. It must be indexed by the index.</description>
<definition>Table(Info,N_vars)(
'Iiasa_population_da1',
'Op_en4079',
'IIASA World Population Program',
'#',
1,
'Weight',
0
)</definition>
<nodelocation>240,24,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,140,217,476,224</windstate>
<defnstate>2,277,418,982,328,0,MIDM</defnstate>
<valuestate>2,590,303,460,228,0,MIDM</valuestate>
<nodecolor>52425,39321,65535</nodecolor>
<reformdef>[Info,N_vars]</reformdef>
<reformval>[N_vars,Info]</reformval>
<displayoutputs>[]</displayoutputs>
<att__discretenessinf>[1,1,1,0]</att__discretenessinf>
</variable>
<variable name="Analytica_table">
<title>Analytica table</title>
<definition>Table(Columns,Rows)(
1,2,3,
4,5,6
)</definition>
<nodelocation>64,80,1</nodelocation>
<nodesize>48,24</nodesize>
<valuestate>2,248,258,416,303,0,MIDM</valuestate>
<aliases>[Formnode Analytica_table2]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<reformdef>[Columns,Rows]</reformdef>
<reformval>[Columns,Rows]</reformval>
</variable>
<index name="Rows">
<title>Rows</title>
<definition>1..N_rows</definition>
<nodelocation>64,112,1</nodelocation>
<nodesize>48,12</nodesize>
<att_previndexvalue>[1,2,3]</att_previndexvalue>
</index>
<variable name="N_rows">
<definition>3</definition>
<nodelocation>64,136,1</nodelocation>
<nodesize>48,12</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
<aliases>[Formnode N_rows1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
</variable>
<variable name="Acts">
<title>Acts</title>
<description>5.1.2010 Jouni Tuomisto
I separated Acts and Objects.</description>
<definition>Index j:= ['id', 'acttype_id','who','comments'];
index i:= ['create','upload'];
var a:= array(j,[
@i,
array(i,[1, (if selecttext(replace_data_,1,1)='Y' then 4 else 5)]),
opasnet_username,
if i ='upload' then 'Analytica '&Analyticaedition&', ('&Analyticaplatform&'), Version: '&textify(Analyticaversion) else '']);
a</definition>
<nodelocation>320,200,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,29,37,525,724</windstate>
<valuestate>2,88,339,694,283,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<att_previndexvalue>['','']</att_previndexvalue>
<att_resultslicestate>[Self,1,Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<text name="Te27">
<description>Upload type 1.</description>
<nodelocation>64,224,-1</nodelocation>
<nodesize>56,56</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<text name="Te28">
<description>Upload type 2.</description>
<nodelocation>64,84,-1</nodelocation>
<nodesize>56,76</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<text name="Te29">
<description>Upload type 2.</description>
<nodelocation>120,356,-1</nodelocation>
<nodesize>112,60</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
</text>
<variable name="W_actobj">
<title>W actobj</title>
<description>Makes a list of objects that contains some additional information to be written into the Objinfo table.</description>
<definition>var a:= actobj2;
if a.j='series_id' and acts[.j= 'acttype_id', .i='upload'] = 5 then Series[.i = a.i] else a;</definition>
<nodelocation>592,112,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,250,25,476,340</windstate>
<valuestate>2,44,195,690,459,0,MIDM</valuestate>
<nodecolor>65535,45873,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,I,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att_previndexvalue>[]</att_previndexvalue>
<att_resultslicestate>[Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<variable name="Find_ind">
<title>Find ind</title>
<definition>var a:= Data_table.j[@.j=1..(size(Data_table.j)-2)];
a:= jointext(a,,',');
var b:= Object_info[Info='Analytica identifier'];
var c:= ['Run'];
var x:= 1;
while x<=size(b) do (
c:= concat(c,indexnames(evaluate(slice(b,x))));
x:= x+1);
c:= textreplace(c, '.' , '');
index temp:= 1..size(c);
c:= slice(c, temp);
c:= c[temp= unique(c,temp)];
index i:= 1..(size(c)-1);
c:= slice(c, i+1);
b:= jointext(c,c.i,',');
a:= if selecttext(Data_source,1,1)='3' then b else a;
splittext(a,',')</definition>
<nodelocation>384,104,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,102,90,476,385</windstate>
<reformval>[Self,Sys_localindex('I')]</reformval>
<att_previndexvalue>['Run']</att_previndexvalue>
</variable>
<variable name="Actobj_stat">
<title>Actobj stat</title>
<definition>Table(Actobj_stat1)(
'695','696','697','698'
)</definition>
<nodelocation>544,216,1</nodelocation>
<nodesize>48,16</nodesize>
</variable>
<index name="Actobj_stat1">
<title>Actobj stat</title>
<definition>[1,2,3,4]</definition>
<nodelocation>544,240,1</nodelocation>
<nodesize>48,12</nodesize>
<att_previndexvalue>[1,2,3,4]</att_previndexvalue>
</index>
<variable name="Series">
<title>Series</title>
<definition>for x[]:= actobj2.i do (
var a:= query('
SELECT MAX(act.id)
FROM actobj
LEFT JOIN act ON actobj.act_id = act.id
WHERE obj_id = '&chr(39)&actobj2[.j = 'obj_id', .i = x]&chr(39)&'
AND acttype_id = 4
');
a[@.j = 1, @.i=1] )</definition>
<nodelocation>480,112,1</nodelocation>
<nodesize>48,12</nodesize>
<valuestate>2,258,57,416,303,0,MIDM</valuestate>
<nodecolor>39325,65535,39321</nodecolor>
<reformval>[Sys_localindex('I'),Sys_localindex('J')]</reformval>
</variable>
<variable name="Actobj2">
<title>Actobj2</title>
<definition>index j:= ['id', 'act_id', 'obj_id', 'series_id'];
var a:= W_obj;
var b:= a[.j = 'id']= textify(@a.i+cardinals[table1='obj']);
index k1:= subset(b);
b:= array(j, ['', w_act[@.j=1, @.i=1], a[.i = k1, .j='id'], '' ]);
index k2:= subset(a[.j='objtype_id']='1');
a:= array(j, ['', w_act[@.j=1, @.i=2], a[.i =k2, .j='id'], w_act[@.j=1, @.i=2] ]);
index i:= 1..(size(k1)+size(k2));
a:= concat(a, b, k2, k1, i);
if j='id' then textify(i+cardinals[table1='actobj']) else a</definition>
<nodelocation>544,160,1</nodelocation>
<nodesize>48,16</nodesize>
<valuestate>2,83,399,416,303,0,MIDM</valuestate>
<reformval>[Sys_localindex('I'),Sys_localindex('J')]</reformval>
<att_resultslicestate>[Sys_localindex('I'),1,Sys_localindex('J'),1,Sys_localindex('I'),1]</att_resultslicestate>
</variable>
<variable name="Data_table4">
<title>Data table4</title>
<definition>Va1</definition>
<nodelocation>432,408,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,4,175,482,501</windstate>
<valuestate>2,17,71,736,338,0,MIDM</valuestate>
<aliases>[Formnode Data_table5]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<reformval>[Sys_localindex('I'),Sys_localindex('J')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att__discretenessinf>[1,1,1,0]</att__discretenessinf>
<att_resultslicestate>[Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<variable name="Data_table3">
<title>Data table3</title>
<definition>{var N_indices:= Object_info_for_lap[Info='number of indices'];
var b:= evaluate(selecttext(Data_source,1,1));}
var a:= {if b=1 then Data_table1 else if b=2 then} analytica_table {else analytica_node};
indexify(a)
{if b>=3 then a else (
index h:= a.columns[@a.columns=1..N_indices];
var c:= Object_info_for_lap[Info='parameter name', @N_vars=1];
c:= if c='' or c=0 then 'parameter' else c;
index j:= concat(h,[c,'result','obs']);
index parameter:= a.columns[@a.columns=N_indices+(1..size(a.columns)-N_indices)];
index temp:= 1..size(a.rows)*size(parameter);
var conv:= if j='result' then @parameter+N_indices else @j;
a:= a[@.columns=conv];
a:= if @j=size(j)-2 then parameter else a;
a:= if @j=size(j) then @a.rows else a;
a:= concatrows(a, parameter, a.rows, temp);
a:= if j='result' then
(var d:= a[j='result']; if evaluate(d)=null then d else evaluate(d)) else a;
index i:= Subset(a[j='result']<>null);
a[temp=i]);
}</definition>
<nodelocation>64,40,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,4,175,482,501</windstate>
<valuestate>2,17,71,736,338,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,D,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att__discretenessinf>[1,1,1,0]</att__discretenessinf>
<att_resultslicestate>[Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<function name="Indexify">
<parameters>(a)</parameters>
<title>Indexify</title>
<definition>var N_indices:= Object_info_for_lap[Info='number of indices'];
index h:= a.columns[@a.columns=1..N_indices];
var c:= Object_info_for_lap[Info='parameter name', @N_vars=1];
c:= if c='' or c=0 then 'parameter' else c;
index j:= concat(h,[c,'result','obs']);
index parameter:= a.columns[@a.columns=N_indices+(1..size(a.columns)-N_indices)];
index temp:= 1..size(a.rows)*size(parameter);
var conv:= if j='result' then @parameter+N_indices else @j;
a:= a[@.columns=conv];
a:= if @j=size(j)-2 then parameter else a;
a:= if @j=size(j) then @a.rows else a;
a:= concatrows(a, parameter, a.rows, temp);
a:= if j='result' then
(var d:= a[j='result']; if evaluate(d)=null then d else evaluate(d)) else a;
index i:= Subset(a[j='result']<>null);
a[temp=i]</definition>
<nodelocation>536,56,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,485,116,476,423</windstate>
<paramnames>a</paramnames>
</function>
<variable name="Va1">
<definition>index j:= ['Country','Year','Diagnosis','Sex','Age','Deaths'];
index i:= 1..10;
array(j,i,["Seychelles","2001","AAA","Male","0-365 days","8",
"Seychelles","2001","AAA","Female","0-365 days","11",
"Seychelles","2001","A00-B99","Male","0-365 days","0",
"Seychelles","2001","A00-B99","Female","0-365 days","0",
"Seychelles","2001","A00","Male","0-365 days","0",
"Seychelles","2001","A00","Female","0-365 days","0",
"Seychelles","2001","A09","Male","0-365 days","0",
"Seychelles","2001","A09","Female","0-365 days","0",
"Seychelles","2001","A01-A08","Male","0-365 days","0",
"Seychelles","2001","A01-A08","Female","0-365 days","0"])</definition>
<nodelocation>544,328,1</nodelocation>
<nodesize>48,24</nodesize>
<valuestate>2,264,274,617,303,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
</variable>
</module>
<module name="Reader">
<title>Reader</title>
<author>ktluser</author>
<date>3. Augta 2008 18:31</date>
<saveauthor>jtue</saveauthor>
<savedate>9. lokta 2008 14:01 </savedate>
<defaultsize>48,24</defaultsize>
<nodelocation>312,40,1</nodelocation>
<nodesize>48,24</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
<diagstate>1,601,119,477,429,17</diagstate>
<fontstyle>Arial, 15</fontstyle>
<function name="Read_mean">
<parameters>(vident:text, seriesid:optional)</parameters>
<title>Read mean</title>
<description>Reads the mean data about the vident variable from the Opasnet Base. Uses the run with runid as run.id if specified; otherwise uses the newest run of that variable.
PARAMETERS:
* Vident: the ident of the variable in the Opasnet Base.
* Runid: the id of the run from which the results will be brought. If omitted, the newest result will be brought.
Change
run to act</description>
<definition>if isnotspecified(seriesid) or istext(seriesid) then seriesid:= Newest_series(vident);
query( '
SELECT obj.ident, obj.name, obj.unit, cell.id as cell_id, mean, sd, n, act_id, comments, time, std.location, ind.ident AS iident, ind.name AS iiname, actobj.series_id
FROM obj
LEFT JOIN actobj ON obj.id = actobj.obj_id
LEFT JOIN act ON act.id = actobj.act_id
LEFT JOIN cell ON cell.actobj_id = actobj.id
LEFT JOIN loccell ON loccell.cell_id = cell.id
LEFT JOIN loc ON loccell.loc_id = loc.id
LEFT JOIN loc as std ON loc.std_id = std.id
LEFT JOIN obj as ind ON std.obj_id_i = ind.id
WHERE obj.ident = '&chr(39)&vident&chr(39)&'
AND actobj.series_id = '&chr(39)&seriesid&chr(39)
)</definition>
<nodelocation>56,80,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,585,25,516,589</windstate>
<nodecolor>39325,65535,39321</nodecolor>
<paramnames>vident,seriesid</paramnames>
</function>
<function name="Newest_series">
<parameters>(vident:text)</parameters>
<title>Newest series</title>
<description>This function checks for the newest result (according to run_id) of the variable. The function is used if the user does not define the run_id as an optional parameter in functions Read_mean and Read_sample.
PARAMETERS:
* Vident: the Ident of the variable in the Opasnet Base.</description>
<definition>var a:= query('
SELECT actobj.series_id, var.ident
FROM obj AS var
LEFT JOIN actobj ON var.id = actobj.obj_id
LEFT JOIN act ON actobj.act_id = act.id
WHERE var.ident = "'&vident&'"
');
max(a[@.j=1],a.i)</definition>
<nodelocation>56,22,1</nodelocation>
<nodesize>48,22</nodesize>
<windstate>2,678,59,476,566</windstate>
<nodecolor>39325,65535,39321</nodecolor>
<paramnames>vident</paramnames>
</function>
<function name="Read_sample">
<parameters>(vident:text, seriesid:optional)</parameters>
<title>Read sample</title>
<description>Reads the sample data about the vident variable from the Opasnet Base. Uses the runident run if specified; otherwise uses the newest run of that variable.
PARAMETERS:
* Vident: the name of the variable in the Opasnet Base.
* Runid: the id of the run from which the results will be brought. If omitted, the newest result will be brought.
chenge
run to act
add restext</description>
<definition>if isnotspecified(seriesid) or istext(seriesid) then seriesid:= Newest_series(vident);
query( '
SELECT obj.id AS obj_id, obj.ident, obj.unit, ind.ident as iident, cell.id AS cell_id, location, mean, n, obs, result, restext
FROM obj
LEFT JOIN actobj ON actobj.obj_id = obj.id
LEFT JOIN act ON actobj.act_id = act.id
LEFT JOIN cell ON cell.actobj_id = actobj.id
LEFT JOIN loccell ON loccell.cell_id = cell.id
LEFT JOIN loc ON loccell.loc_id = loc.id
LEFT JOIN obj as ind ON loc.obj_id_i = ind.id
LEFT JOIN res ON res.cell_id = cell.id
WHERE obj.ident = '&chr(39)&vident&chr(39)&'
AND actobj.series_id = '&chr(39)&seriesid&chr(39)
)</definition>
<nodelocation>56,112,1</nodelocation>
<nodesize>48,22</nodesize>
<windstate>2,55,35,516,612</windstate>
<nodecolor>39325,65535,39321</nodecolor>
<paramnames>vident,seriesid</paramnames>
</function>
<variable name="Enter_variable">
<title>Enter variable Ident</title>
<definition>'Op_en1912'</definition>
<nodelocation>168,83,1</nodelocation>
<nodesize>48,27</nodesize>
<aliases>[Formnode Enter_variable1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
</variable>
<formnode name="Enter_variable1">
<title>Enter variable</title>
<definition>0</definition>
<nodelocation>288,24,1</nodelocation>
<nodesize>176,13</nodesize>
<nodeinfo>1,0,0,1,0,0,0,170,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Enter_variable</original>
</formnode>
<variable name="Newest_series1">
<title>Newest series</title>
<definition>Newest_series(Enter_variable)</definition>
<nodelocation>288,61,1</nodelocation>
<nodesize>48,22</nodesize>
<valuestate>2,200,56,416,303,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
</variable>
<variable name="Mean_results">
<title>Var info</title>
<definition>read_mean(Enter_variable)</definition>
<nodelocation>288,116,1</nodelocation>
<nodesize>48,12</nodesize>
<valuestate>2,28,65,1144,438,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
</variable>
<function name="Makeind">
<parameters>(a,b,x)</parameters>
<title>Makeind</title>
<description>The input table a must have a structure that is also used as input for MDTable function. The function removes one column with location information and makes a dimension (index) with the locations in the column. Inde is the (local) index that will be added. Note that unlike MDTable function, this can use local indices in the output.</description>
<definition>index inde / slice(b.m, x) := b[.n = unique(b[@.m = x], b.n), @b.m = x];
a:= if inde = a[@.m=1] then a else 0;
index m:= slice(a.m,(2..size(a.m)));
a:= a[.m=m]</definition>
<nodelocation>56,192,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,61,72,476,454</windstate>
<paramnames>a,b,x</paramnames>
</function>
<function name="Get_cell_id">
<parameters>(a)</parameters>
<title>Get cell_id</title>
<description>Makes a multi-dimensional array with the same structure as the original variable that was stored into the Opasnet Base. The contents of the array are the cell_ids of the variable. The input parameter must be a 2D table with the structure that comes from the Read_mean function.
1) Slices the necessary columns from the input table and converts that to a 2D table that has the same structure as is used for input to the function MDTable.
2) Defines the local indices, and changes a location column to a dimension one at a time until all columns have been changed.
NOTE! There is a problem that if there are two or more cells with the exactly same locations, only the one with a largest cell_id will be taken.</description>
<definition>index k:= ['iident','location','cell_id', 'act_id'];
a:= a[.j=k];
a:= if a.k = 'iident' then textreplace(a, ' ', '_', true) else a;
index L:= a[@k=1]&'+'&textify(a[@k=3]);
index m:= concat(a[.i=unique(a[@k=1],a.i), @k=1],['act_id', 'result']);
index n:= a[.i=unique(a[@k=3],a.i), @k=3];
a:= a[@.i=@L];
var c:= a[L=(m)&'+'&textify(n), @k=4, @m=1];
a:= a[L=(m)&'+'&textify(n), @k=2];
a:= if m='result' then n else a;
a:= if m='act_id' then c else a;
var b:= a;
var x:= 1;
a:= while x< size(b.m) do (
a:= makeind(a,b,x);
x:= x+1;
a);
a:= max(a[@.m=1], a.n);
if size(a.act_id)=1 then a[@.act_id = 1] else a</definition>
<nodelocation>56,168,1</nodelocation>
<nodesize>48,13</nodesize>
<windstate>2,160,51,476,628</windstate>
<paramnames>a</paramnames>
</function>
<variable name="Var_mean1">
<title>Var mean</title>
<definition>get_mean(Enter_variable)</definition>
<nodelocation>288,140,1</nodelocation>
<nodesize>48,12</nodesize>
<valuestate>2,835,77,420,564,0,MIDM</valuestate>
<reformval>[Sys_localindex('ACT_ID'),Sys_localindex('MONTH')]</reformval>
<numberformat>2,I,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
<att_resultslicestate>[Sys_localindex('M'),1,Sys_localindex('N'),1,Sys_localindex('ACTION'),1]</att_resultslicestate>
</variable>
<function name="Get_mean">
<parameters>(vident:text, runident:optional)</parameters>
<title>Get mean</title>
<description>Gives the mean result of a (multidimensional) variable stored in the Opasnet Base. The procedure is simple because it utilises the variable structure (with res_ids) derived by the get_res_id function.</description>
<definition>var a:= read_mean(vident, runident);
index o:= a[.j='cell_id'];
index j:= ['mean','sd'];
var output:= a[@.i=@o, .j = j];
a:= Get_cell_id(a);
{output[o=a]}</definition>
<nodelocation>56,216,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,114,117,476,428</windstate>
<paramnames>vident,runident</paramnames>
</function>
<function name="Get_sample">
<parameters>(vident:text, runident:optional)</parameters>
<title>Get sample</title>
<description>Gives the sample result of a (multidimensional) variable stored in the Opasnet Base. The procedure is simple because it utilises the variable structure (with res_ids) derived by the get_res_id function.
Note that if the Analytica samplesize is smaller than the samplesize stored in the Opasnet Base, the extra samples will be discarded. If the samplesize is larger, the remaining rows will be null.
1) Brings the data into the right structure.
2) Chooses whether the actual result is numerical (in the Result column) or text (in the Description column).</description>
<definition>var a:= read_sample(vident, runident);
var b:= textify(Get_cell_id(read_mean(vident,runident)));
index k:= textify(a[.j='cell_id'])&'+'&textify(a[.j='obs']);
index runn:= min(a[.j='obs'],a.i)..max(a[.j='obs'],a.i);
a:= if a[.j='restext'] = '' then a[.j='result'] else a[.j='restext'];
a:= a[@.i=@k];
a:= a[k=b&'+'&runn];
a:= if max(runn)=0 then a[@runn=1] else a[@runn=@run];</definition>
<nodelocation>56,240,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,613,48,476,556</windstate>
<paramnames>vident,runident</paramnames>
</function>
<variable name="Var_sample1">
<title>Var sample</title>
<definition>get_sample(Enter_variable)</definition>
<nodelocation>288,164,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,86,111,476,224</windstate>
<valuestate>2,18,155,646,307,0,MEAN</valuestate>
<reformval>[Sys_localindex('OP_EN1899'),Sys_localindex('SALMON')]</reformval>
<att_resultslicestate>[Sys_localindex('OP_EN1898'),1,Sys_localindex('YEAR'),1,Sys_localindex('SALMON'),1,Sys_localindex('OP_EN1899'),1]</att_resultslicestate>
</variable>
<variable name="Var_run_info1">
<title>Var run info</title>
<description>Describes the runs of the defined variable. This should be made a function.</description>
<definition>var_run_info(Enter_variable)</definition>
<nodelocation>288,92,1</nodelocation>
<nodesize>48,12</nodesize>
<valuestate>2,41,152,1235,369,0,MIDM</valuestate>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
</variable>
<function name="Var_run_info">
<parameters>(vident:text)</parameters>
<title>Var run info</title>
<description>This function checks for the newest result (according to run_id) of the variable. The function is used if the user does not define the run_id as an optional parameter in functions Read_mean and Read_sample.
PARAMETERS:
* Vident: the Ident of the variable in the Opasnet Base.
Change:
objinfo to act
run to act
add objact</description>
<definition>query( '
SELECT obj.id AS ovj_id, obj.ident, obj.name, obj.unit, actobj.series_id, actobj.act_id, comments, act.time, act.who
FROM obj
LEFT JOIN actobj ON obj.id = actobj.obj_id
LEFT JOIN act ON act.id = actobj.act_id
WHERE obj.ident = '&chr(39)&vident&chr(39)&'
')</definition>
<nodelocation>56,56,1</nodelocation>
<nodesize>48,13</nodesize>
<windstate>2,182,31,476,566</windstate>
<nodecolor>39325,65535,39321</nodecolor>
<paramnames>vident</paramnames>
</function>
<text name="Te34">
<description>Use these functions to retireve data from the Opasnet Base:
* Newest_series: finds the newest upload of the object.
* Obj_act_info: Finds the action information of the object.
* Read_mean: Reads the means of each cell.
* Get_mean: Makes read_mean table into an array.
* Read_sample: Reads the whole sample.
* Get_sample: Makes read_sample table into a probabilistic array.</description>
<nodelocation>280,294,-1</nodelocation>
<nodesize>168,110</nodesize>
</text>
<function name="Query">
<parameters>(a:text)</parameters>
<title>Query</title>
<description>Performs a query and results the standard table with columns .j and rows .i.</description>
<definition>Lap;
index i:= DBquery(Odbc,a);
index j:= dblabels(i);
dbtable(i,j)</definition>
<nodelocation>56,144,1</nodelocation>
<nodesize>48,13</nodesize>
<windstate>2,100,154,476,566</windstate>
<nodecolor>39325,65535,39321</nodecolor>
<paramnames>a</paramnames>
</function>
</module>
<variable name="Wikis">
<title>Wikis</title>
<description>Names of different wikis used.</description>
<definition>Table(Self)(
'Op_en','Op_fi','Heande','En','Fit','Erac','Beneris','Intarese','Piltti','Kantiva','Bioher','Heimtsa')</definition>
<indexvals>[1,2,3,4,5,8,9,10,11,13,14,15]</indexvals>
<nodelocation>184,168,1</nodelocation>
<nodesize>48,16</nodesize>
<nodecolor>65535,52427,65534</nodecolor>
<reformdef>[Self]</reformdef>
<displayoutputs>[]</displayoutputs>
</variable>
<function name="Textify">
<parameters>(a)</parameters>
<title>Textify</title>
<description>Changes a number to a text value with up to 15 significant numbers. This bypasses the number formatting problem that tends to convert e.g. 93341 to '93.34K'. If the input is null, the result is ''.</description>
<definition>if a = null then '' else a&''</definition>
<nodelocation>72,376,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,309,205,559,372</windstate>
<paramnames>a</paramnames>
<numberformat>2,F,4,14,0,0,4,0,$,0,"ABBREV",0</numberformat>
</function>
<function name="Tablefy">
<parameters>(a; file:texttype)</parameters>
<title>Tablefy</title>
<definition>a:= '"'&a&'"';
a:= jointext(a,a.j,';');
Writetextfile('c:\temp\'&file, a)</definition>
<nodelocation>72,352,1</nodelocation>
<nodesize>48,13</nodesize>
<windstate>2,44,303,476,224</windstate>
<nodecolor>65535,45873,39321</nodecolor>
<paramnames>a,file</paramnames>
<numberformat>2,F,4,14,0,0,4,0,$,0,"ABBREV",0</numberformat>
</function>
<library name="Concatenation_udfs">
<title>Concatenation UDFs</title>
<description>This library contains functions to make various instances of concatenation more convenient. Concat3 thru Concat10 are generalizations of the built-in Concat function which concatenate from 3 to 10 arrays in a single call (while the built-in Concat concatenates two arrays). ConcatRows concatenates all the rows of a single array.</description>
<author>David Kendall & Lonnie Chrisman</author>
<date>Mon, Jan 26, 2004 8:49 AM</date>
<saveauthor>Lonnie</saveauthor>
<savedate>Wed, Sep 05, 2007 3:23 PM</savedate>
<defaultsize>48,24</defaultsize>
<nodelocation>488,40,1</nodelocation>
<nodesize>68,20</nodesize>
<nodeinfo>1,0,0,1,1,1,0,0,0,0</nodeinfo>
<diagstate>1,50,200,488,454,23</diagstate>
<function name="Concat3">
<parameters>(A1, A2, A3: ArrayType; I1, I2, I3, J: IndexType )</parameters>
<title>Concat3</title>
<description>Concatenates three arrays, A1, A2, and A3. I1, I2, and I3 are the indexes that are joined; J is the index of the new array; J usually is the concatenation of I1, I2, and I3</description>
<definition>Index I12 := Concat(I1,I2);
Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, J )</definition>
<nodelocation>88,64,1</nodelocation>
<nodesize>48,26</nodesize>
<windstate>2,56,56,986,596</windstate>
<paramnames>A1,A2,A3,I1,I2,I3,J</paramnames>
</function>
<function name="Concat4">
<parameters>(A1, A2, A3, A4: ArrayType; I1, I2, I3, I4, J: IndexType )</parameters>
<title>Concat4</title>
<description>Concatenates four arrays, A1, A2, A3, and A4. I1, I2, I3, and I4 are the indexes that are joined; J is the index of the new array; J usually is the concatenation of I1, I2, I3, and I4.</description>
<definition>Index I12 := Concat(I1,I2);
Index I123:= Concat(I12, I3);
Concat(
Concat(
Concat( A1,A2,I1,I2,I12 ),
A3, I12, I3, I123),
A4, I123, I4, J);
</definition>
<nodelocation>192,64,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,30,30,986,596</windstate>
<paramnames>A1,A2,A3,A4,I1,I2,I3,I4,J</paramnames>
<att__cloakdefn>0</att__cloakdefn>
</function>
<function name="Concat9">
<parameters>(A1, A2, A3, A4, A5, A6, A7, A8, A9: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, I9, J: IndexType)</parameters>
<title>Concat9</title>
<description>Concatenates nine arrays, A1, ..., A9. I1, ..., I9 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I9.</description>
<definition>Index I12 := Concat(I1,I2);
Index I123 := Concat(I12, I3);
Index I1234 := Concat(I123, I4);
Index I12345 := Concat(I1234, I5);
Index I123456 := Concat(I12345, I6);
Index I1234567 := Concat(I123456, I7);
Index I12345678 := Concat(I1234567, I8);
Concat(
Concat(
Concat(
Concat(
Concat(
Concat(
Concat(
Concat( A1,A2,I1,I2,I12 ),
A3, I12, I3, I123),
A4, I123, I4, I1234),
A5, I1234, I5, I12345),
A6, I12345, I6, I123456),
A7, I123456, I7, I1234567),
A8, I1234567, I8, I12345678),
A9, I12345678, I9, J);</definition>
<nodelocation>88,232,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,27,120,469,638</windstate>
<paramnames>A1,A2,A3,A4,A5,A6,A7,A8,A9,I1,I2,I3,I4,I5,I6,I7,I8,I9,J</paramnames>
<att__cloakdefn>0</att__cloakdefn>
</function>
<function name="Concat5">
<parameters>(A1, A2, A3, A4, A5: ArrayType; I1, I2, I3, I4, I5, J: IndexType )</parameters>
<title>Concat5</title>
<description>Concatenates five arrays, A1, ..., A5. I1, ..., I5 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I5.</description>
<definition>Index I12 := Concat(I1,I2);
Index I123:= Concat(I12, I3);
Index I1234 := Concat(I123, I4);
Concat(
Concat(
Concat(
Concat( A1,A2,I1,I2,I12 ),
A3, I12, I3, I123),
A4, I123, I4, I1234),
A5, I1234, I5, J);</definition>
<nodelocation>88,120,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,160,160,986,596</windstate>
<paramnames>A1,A2,A3,A4,A5,I1,I2,I3,I4,I5,J</paramnames>
</function>
<function name="Concat6">
<parameters>(A1, A2, A3, A4, A5, A6: ArrayType; I1, I2, I3, I4, I5, I6, J: IndexType )</parameters>
<title>Concat6</title>
<description>Concatenates six arrays, A1, ..., A6. I1, ..., I6 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I6.</description>
<definition>Index I12 := Concat(I1,I2);
Index I123:= Concat(I12, I3);
Index I1234 := Concat(I123, I4);
Index I12345 := Concat(I1234, I5);
Concat(
Concat(
Concat(
Concat(
Concat( A1,A2,I1,I2,I12 ),
A3, I12, I3, I123),
A4, I123, I4, I1234),
A5, I1234, I5, I12345),
A6, I12345, I6, J);</definition>
<nodelocation>192,120,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,644,94,602,712</windstate>
<paramnames>A1,A2,A3,A4,A5,A6,I1,I2,I3,I4,I5,I6,J</paramnames>
<att__cloakdefn>0</att__cloakdefn>
</function>
<function name="Concat7">
<parameters>(A1, A2, A3, A4, A5, A6, A7: ArrayType; I1, I2, I3, I4, I5, I6, I7, J: IndexType )</parameters>
<title>Concat7</title>
<description>Concatenates seven arrays, A1, ..., A7. I1, ..., I7 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I7.</description>
<definition>Index I12 := Concat(I1,I2);
Index I123:= Concat(I12, I3);
Index I1234 := Concat(I123, I4);
Index I12345 := Concat(I1234, I5);
Index I123456 := Concat(I12345, I6);
Concat(
Concat(
Concat(
Concat(
Concat(
Concat( A1,A2,I1,I2,I12 ),
A3, I12, I3, I123),
A4, I123, I4, I1234),
A5, I1234, I5, I12345),
A6, I12345, I6, I123456),
A7, I123456, I7, J);</definition>
<nodelocation>88,176,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,580,98,551,565</windstate>
<paramnames>A1,A2,A3,A4,A5,A6,A7,I1,I2,I3,I4,I5,I6,I7,J</paramnames>
</function>
<function name="Concat8">
<parameters>(A1, A2, A3, A4, A5, A6, A7, A8: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, J: IndexType )</parameters>
<title>Concat8</title>
<description>Concatenates eight arrays, A1, ..., A8. I1, ..., I8 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I8.</description>
<definition>Index I12 := Concat(I1,I2);
Index I123:= Concat(I12, I3);
Index I1234 := Concat(I123, I4);
Index I12345 := Concat(I1234, I5);
Index I123456 := Concat(I12345, I6);
Index I1234567 := Concat(I123456, I7);
Concat(
Concat(
Concat(
Concat(
Concat(
Concat(
Concat( A1,A2,I1,I2,I12 ),
A3, I12, I3, I123),
A4, I123, I4, I1234),
A5, I1234, I5, I12345),
A6, I12345, I6, I123456),
A7, I123456, I7, I1234567),
A8, I1234567, I8, J);</definition>
<nodelocation>192,176,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,12,98,561,737</windstate>
<paramnames>A1,A2,A3,A4,A5,A6,A7,A8,I1,I2,I3,I4,I5,I6,I7,I8,J</paramnames>
<att__cloakdefn>0</att__cloakdefn>
</function>
<function name="Concat10">
<parameters>(A1, A2, A3, A4, A5, A6, A7, A8, A9, A10: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, I9, I10, J: IndexType)</parameters>
<title>Concat10</title>
<description>Concatenates ten arrays, A1, ..., A10. I1, ..., I10 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I10.</description>
<definition>Index I12 := Concat(I1,I2);
Index I123 := Concat(I12, I3);
Index I1234 := Concat(I123, I4);
Index I12345 := Concat(I1234, I5);
Index I123456 := Concat(I12345, I6);
Index I1234567 := Concat(I123456, I7);
Index I12345678 := Concat(I1234567, I8);
Index I123456789 := Concat(I12345678, I9);
Concat(
Concat(
Concat(
Concat(
Concat(
Concat(
Concat(
Concat(
Concat( A1,A2,I1,I2,I12 ),
A3, I12, I3, I123),
A4, I123, I4, I1234),
A5, I1234, I5, I12345),
A6, I12345, I6, I123456),
A7, I123456, I7, I1234567),
A8, I1234567, I8, I12345678),
A9, I12345678, I9, I123456789),
A10, I123456789, I10, J);</definition>
<nodelocation>192,232,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,542,93,632,744</windstate>
<paramnames>A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,I1,I2,I3,I4,I5,I6,I7,I8,I9,I10,J</paramnames>
<att__cloakdefn>0</att__cloakdefn>
</function>
<function name="Concatrows">
<parameters>(A : ArrayType ; RowIndex,ColIndex,ResultIndex : IndexType)</parameters>
<title>ConcatRows (A,I,J,K)</title>
<description>Takes an array, A indexed by RowIndex & ColIndex, and concatenates each row, henceforth flattening the array by one dimension. The result is indexed by ResultIndex, which must be an index with size(RowIndex) * size(ColIndex) elements.</description>
<definition>index L := [ identifier of RowIndex, identifier of ColIndex, "val"];
slice(Mdarraytotable(A,ResultIndex,L),L,3)</definition>
<nodelocation>320,64,1</nodelocation>
<nodesize>64,24</nodesize>
<windstate>2,499,85,478,348</windstate>
<paramnames>A,RowIndex,ColIndex,ResultIndex</paramnames>
</function>
</library>
<library name="Odbc_library">
<title>ODBC Library</title>
<author>Lonnie</author>
<date>Thu, Sep 11, 1997 2:15 PM</date>
<saveauthor>Lonnie</saveauthor>
<savedate>Tue, Feb 05, 2008 10:03 AM</savedate>
<defaultsize>48,24</defaultsize>
<nodelocation>496,96,1</nodelocation>
<nodesize>52,20</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
<diagstate>1,20,272,499,462,17</diagstate>
<fontstyle>Arial, 13</fontstyle>
<function name="Insertrecsql">
<parameters>(A:ArrayType;I:IndexType;L:IndexType;row:IndexType;dbTableName)</parameters>
<title>InsertRecSql</title>
<description>Generates the SQL "INSERT INTO" statement for one line of table A. A is a 2-D table indexed by rows I and columns L. L's domain serves as the column names in the database table. dbTableName is the name of the table in the database. The result begins with two semi-colons, since it will be used with an SQL statement preceeding it.
29.8.2008 Jouni Tuomisto
I added the parameter IGNORE because it ignores rows that would cause duplicate-key violations. This way, there is no need to check for e.g. existing locations of new indices.
6.1.2009 Jouni Tuomisto
I changed the A[I=row] to A[@I=@row] because the original function does not work correctly, if there are non-unique rows in the index.</description>
<definition>(';;INSERT IGNORE INTO ' & dbTableName & '(' & JoinText(L,L,',') & ') VALUES (' & Vallist(A[@I=@row],L)) & ') '</definition>
<nodelocation>184,32,1</nodelocation>
<nodesize>52,24</nodesize>
<windstate>2,591,203,487,469</windstate>
<paramnames>A,I,L,row,dbTableName</paramnames>
</function>
<function name="Vallist">
<parameters>(V:ArrayType;I:IndexType)</parameters>
<title>ValList</title>
<description>Takes a list of values, and returns a string which the concatenation of each value, separated by commas, and with each value quoted.</description>
<definition>JoinText( '''' & V & '''', I, ',')</definition>
<nodelocation>72,32,0</nodelocation>
<nodesize>52,24</nodesize>
<windstate>2,642,360,476,224</windstate>
<paramnames>V,I</paramnames>
<numberformat>1,F,4,14,0,0</numberformat>
</function>
<function name="Writetablesql">
<parameters>(Tabl:ArrayType;RowIndex:IndexType;LabelIndex:IndexType;dbTableName)</parameters>
<title>WriteTableSql(Table,Rows,Labels,dbTableName)</title>
<description>Returns the SQL that will write the table to the database table.
This can be used as the second argument to DBWrite.
This SQL statement replaces the entire contents of an existing table with the new data.</description>
<definition>'DELETE FROM '& Dbtablename & JoinText(Insertrecsql(Tabl, Rowindex, Labelindex, Rowindex, Dbtablename),RowIndex)</definition>
<nodelocation>328,32,1</nodelocation>
<nodesize>88,24</nodesize>
<windstate>2,728,341,510,476</windstate>
<paramnames>Tabl,RowIndex,LabelIndex,dbTableName</paramnames>
</function>
<function name="Appendtablesql">
<parameters>(Tabl:ArrayType;RowIndex:IndexType;LabelIndex:IndexType;dbTableName)</parameters>
<title>AppendTableSql(Table,Rows,Labels,dbTableName)</title>
<description>Returns the SQL that will write the table to the database table.
This can be used as the second argument to DBWrite.
This SQL statement replaces the entire contents of an existing table with the new data.</description>
<definition>JoinText(Insertrecsql(Tabl, Rowindex, Labelindex, Rowindex, Dbtablename),RowIndex)</definition>
<nodelocation>328,88,1</nodelocation>
<nodesize>88,24</nodesize>
<windstate>2,559,127,510,476</windstate>
<paramnames>Tabl,RowIndex,LabelIndex,dbTableName</paramnames>
</function>
</library>
<index name="Table1">
<title>Tables</title>
<description>List of such tables in Opasnet Base that are being written to by this module.</description>
<definition>['act','actobj','cell','obj','loc','loccell','obj','res']</definition>
<nodelocation>296,216,1</nodelocation>
<nodesize>48,12</nodesize>
<valuestate>2,396,363,377,227,0,MIDM</valuestate>
</index>
<variable name="Cardinals">
<title>Cardinals</title>
<description>The largest id values for the selected Opasnet Base tables. The table is updated by pressing the R_cardinals button.</description>
<definition>for x[]:= table1 do (
var a:= query('SELECT MAX(id) AS id FROM '&x&' ');
max(max(a,a.i),a.j))</definition>
<nodelocation>296,192,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,634,394,476,332</windstate>
<defnstate>2,193,270,416,303,0,MIDM</defnstate>
<valuestate>2,659,299,416,303,0,MIDM</valuestate>
<nodecolor>39325,65535,39321</nodecolor>
<numberformat>2,I,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
</variable>
<function name="Findid">
<parameters>(in, table; cond:texttype)</parameters>
<title>Findid</title>
<description>This function gets an id from a table.
in: the property for which the id is needed. In MUST be unique in cond and it must contain index i.
table: the table from where the id is brought. The table MUST have .j as the column index, .i as the row index, and a column named 'id'.
cond: the name of the field that is compared with in. Cond must be text.</description>
<definition>index L:= in[.i=unique(in, in.i)];
var a:= if (L&' ') = (table[.j=cond]&' ') then table[.j='id'] else 0;
a:= textify(sum(a, table.i));
a[.L=in]</definition>
<nodelocation>72,280,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,636,101,494,519</windstate>
<paramnames>in,table,cond</paramnames>
</function>
<function name="Write">
<parameters>(var, table)</parameters>
<title>Write</title>
<description>if size(var)>0 then dbwrite((if platform = 'Lumina AWP' then 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97' else 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102')&';Database=opasnet_base;User=resultwriter; Password='&writerpsswd&';Option=3'
, appendtablesql(var,var.i, var.j, table&' '))</description>
<definition>if size(var)>0 then dbwrite((if platform = 'Lumina AWP' then 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97' else 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102')&';Database=opasnet_base;User=result_writer; Password='&writerpsswd&';Option=3'
, appendtablesql(var,var.i, var.j, table&' '))</definition>
<nodelocation>72,304,1</nodelocation>
<nodesize>48,12</nodesize>
<windstate>2,751,65,501,457</windstate>
<nodecolor>65535,45873,39321</nodecolor>
<paramnames>var,table</paramnames>
</function>
<variable name="Opasnet_username">
<title>Opasnet username</title>
<description>The username for Opasnet wiki</description>
<definition>'Jouni'</definition>
<nodelocation>72,176,1</nodelocation>
<nodesize>48,22</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
<windstate>2,102,90,476,398</windstate>
<aliases>[Formnode Username1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<displayoutputs>[]</displayoutputs>
</variable>
<variable name="Opasnet_password">
<title>Opasnet password</title>
<description>The user's password for Opasnet wiki.</description>
<definition>'Add password'</definition>
<nodelocation>72,232,1</nodelocation>
<nodesize>48,22</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
<windstate>2,102,90,476,520</windstate>
<aliases>[Formnode Password1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
</variable>
<variable name="Odbc">
<title>ODBC</title>
<description>Contains the parameters for the open database connectivity (ODBC).
For Lumina AWP use the following should be used:
'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97;Database=opasnet_base;User=result_reader; Password=ora4ever;Option=3'
For THL internal use the following should be used:
'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102;Database=opasnet_base;User=result_reader; Password=ora4ever;Option=3'</description>
<definition>var a:= if platform='Lumina AWP' then 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97' else 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102';
a&';Database=opasnet_base;User=result_reader; Password=ora4ever;Option=3'</definition>
<nodelocation>184,136,1</nodelocation>
<nodesize>48,12</nodesize>
<nodeinfo>1,1,0,1,1,1,0,,0,</nodeinfo>
<windstate>2,180,61,508,420</windstate>
<valuestate>2,56,66,918,303,0,MIDM</valuestate>
</variable>
<variable name="Loc">
<title>Loc</title>
<definition>Lap;
query('
SELECT loc.*, ind.* FROM loc, obj as ind WHERE loc.obj_id_i = ind.id ')</definition>
<nodelocation>296,160,1</nodelocation>
<nodesize>48,13</nodesize>
<nodeinfo>1,1,0,1,1,1,0,0,0,0</nodeinfo>
<windstate>2,370,45,476,445</windstate>
<valuestate>2,43,42,1147,516,0,MIDM</valuestate>
<nodecolor>39325,65535,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<numberformat>2,I,4,2,0,0,4,0,$,0,"ABBREV",0</numberformat>
</variable>
<variable name="Obj">
<title>Obj</title>
<description>This node checks the variables listed in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information.</description>
<definition>Lap;
query('SELECT * FROM obj ')</definition>
<nodelocation>296,136,1</nodelocation>
<nodesize>48,13</nodesize>
<nodeinfo>1,1,0,1,1,1,0,0,0,0</nodeinfo>
<windstate>2,378,21,493,501</windstate>
<valuestate>2,218,87,977,421,0,MIDM</valuestate>
<nodecolor>39325,65535,39321</nodecolor>
<reformval>[Sys_localindex('J'),Sys_localindex('I')]</reformval>
<att_resultslicestate>[Self,1,Sys_localindex('I'),1,Sys_localindex('J'),1]</att_resultslicestate>
</variable>
<function name="Write1">
<parameters>(var, table)</parameters>
<title>Write1</title>
<definition>if size(var)>0 then appendtablesql(var,var.i, var.j, table&' ')</definition>
<nodelocation>72,328,1</nodelocation>
<nodesize>48,13</nodesize>
<windstate>2,284,58,476,224</windstate>
<paramnames>var,table</paramnames>
</function>
<variable name="Writerpsswd">
<definition>'green99fi'</definition>
<nodelocation>184,200,0</nodelocation>
<nodesize>52,12</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
<windstate>2,163,375,476,224</windstate>
<aliases>[Formnode Writerpsswd1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
</variable>
<variable name="Platform">
<title>Platform</title>
<definition>Choice(Self,2,False,1)</definition>
<nodelocation>72,136,1</nodelocation>
<nodesize>48,12</nodesize>
<aliases>[Formnode Platform1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<domain>['Lumina AWP','THL computer']</domain>
</variable>
<variable name="Object_info1_2">
<title>Object info1-2</title>
<definition>subtable(Object_info[Info=Info1_2, @n_vars=1])</definition>
<nodelocation>184,248,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,102,90,476,373</windstate>
<defnstate>2,39,314,416,303,0,MIDM</defnstate>
<valuestate>2,599,363,416,303,0,MIDM</valuestate>
<aliases>[Formnode Object_info8, Formnode Object_info7]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<reformdef>[N_vars,Info1_2]</reformdef>
<reformval>[Self,Ind_info]</reformval>
<att_previndexvalue>['','','']</att_previndexvalue>
</variable>
<index name="Info1_2">
<title>Info1-2</title>
<definition>['ident','name','unit','number of indices','parameter name','probabilistic?']</definition>
<nodelocation>184,280,1</nodelocation>
<nodesize>48,13</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
</index>
<button name="Upload_results">
<title>Upload results</title>
<nodelocation>296,312,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,247,178,476,459</windstate>
<script>showprogressbar('Data upload','Writing loc Info for variable '&lap&'/'&N_variables, lap/N_variables-0.01)
Write(W_loc,'loc')
Write(W_loccell,'loccell')
showprogressbar('Data upload','Writing cell info for variable '&lap&'/'&N_variables, lap/N_variables-0.01)
Write(W_cell,'cell')
showprogressbar('Data upload','Writing results for variable '&lap&'/'&N_variables, lap/N_variables-0.01)
Write(W_res, 'res')
(Lap:= Lap+1)
(Do_next:= if lap<=N_variables then 'Upload_results' else '')
evaluatescript(Do_next)
(Lap:= 1)
showprogressbar('Data upload','Upload completed',1)</script>
</button>
<variable name="Object_info3">
<title>Object info3</title>
<description>Additional information for each index and decision node. Description node is the name of a node containing information about the locations of the index. It must be indexed by the index.</description>
<definition>subtable(Object_info[Info=Info3])</definition>
<nodelocation>184,320,1</nodelocation>
<nodesize>48,16</nodesize>
<windstate>2,140,217,476,224</windstate>
<defnstate>2,417,216,703,359,0,MIDM</defnstate>
<valuestate>2,752,344,460,228,0,MIDM</valuestate>
<aliases>[Formnode Object_info6]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<reformdef>[Info3,N_vars]</reformdef>
<reformval>[N_vars,Info]</reformval>
<att__discretenessinf>[0,1,1,0]</att__discretenessinf>
</variable>
<index name="Info3">
<title>Info3</title>
<definition>['Analytica identifier','ident','name','unit','probabilistic?']</definition>
<nodelocation>184,352,1</nodelocation>
<nodesize>48,13</nodesize>
<nodeinfo>1,1,1,1,1,1,0,0,0,0</nodeinfo>
</index>
<variable name="Do_next">
<title>Do next</title>
<description>This is a temporary node that is ovewritten when Upload_data and Upload_results are being run.</description>
<definition>''</definition>
<nodelocation>296,352,1</nodelocation>
<nodesize>48,16</nodesize>
</variable>
<variable name="Replace_data_">
<title>Replace data?</title>
<definition>Choice(Self,1,False)</definition>
<nodelocation>296,256,1</nodelocation>
<nodesize>48,22</nodesize>
<aliases>[Formnode Replace_data_1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
<domain>['Yes, replace previous data','No, append to previous data']</domain>
<displayoutputs>[]</displayoutputs>
</variable>
<variable name="Enter_anacode">
<title>Enter anacode</title>
<definition>"index vehicle_type:= ['Bus','Minibus','Car d','Car g'];
var Car_maintenance:= Triangular( 0.03, 0.058, 0.086 );
var Fuel_price:=
(var a:= 0.95*triangular(0.8,1,1.2);
var b:= 1.22*triangular(0.8,1,1.2);
array(Vehicle_type,[a,a,a,b]));
var Fuel_consumption:=
(var a:= (8.7/100)*Triangular(0.75,1,1.25);
var b:= (5.7/100)*Triangular(0.75,1,1.25);
var c:= (8/100)*Triangular(0.5,1,1.5);
a:= array(Vehicle_type,[a,a,b,c]);
);
fuel_price*fuel_consumption+car_maintenance"</definition>
<nodelocation>496,280,1</nodelocation>
<nodesize>48,24</nodesize>
<aliases>[Formnode Enter_anacode1]</aliases>
<nodecolor>52425,39321,65535</nodecolor>
</variable>
<formnode name="Enter_anacode1">
<title>Enter anacode</title>
<definition>0</definition>
<nodelocation>432,448,1</nodelocation>
<nodesize>160,56</nodesize>
<nodeinfo>1,0,0,1,0,0,0,182,0,1</nodeinfo>
<nodecolor>52425,39321,65535</nodecolor>
<original>Enter_anacode</original>
</formnode>
<chance name="Example_code">
<title>Example code</title>
<definition>index vehicle_type:= ['Bus','Minibus','Car d','Car g'];
var Car_maintenance:= Triangular( 0.03, 0.058, 0.086 );
var Fuel_price:=
(var a:= 0.95*triangular(0.8,1,1.2);
var b:= 1.22*triangular(0.8,1,1.2);
array(Vehicle_type,[a,a,a,b]));
var Fuel_consumption:=
(var a:= (8.7/100)*Triangular(0.75,1,1.25);
var b:= (5.7/100)*Triangular(0.75,1,1.25);
var c:= (8/100)*Triangular(0.5,1,1.5);
a:= array(Vehicle_type,[a,a,b,c]);
);
fuel_price*fuel_consumption+car_maintenance</definition>
<nodelocation>496,216,1</nodelocation>
<nodesize>48,24</nodesize>
</chance>
<variable name="Code_node">
<title>Code node</title>
<definition>evaluate(Enter_anacode)</definition>
<nodelocation>496,336,1</nodelocation>
<nodesize>48,16</nodesize>
<valuestate>2,104,114,416,303,0,SAMP</valuestate>
<reformval>[Undefined,Sys_localindex('VEHICLE_TYPE'),Undefined,Undefined,Undefined,1]</reformval>
<att__discretenessinf>[1,0,0,0]</att__discretenessinf>
</variable>
<button name="Reset_index_list">
<title>Reset index list</title>
<nodelocation>184,400,1</nodelocation>
<nodesize>48,24</nodesize>
<windstate>2,102,90,476,224</windstate>
<script>Index_info:= Table(Ind_info,Indices)</script>
</button>
</module>
<text name="Te35">
<description>Provide data in the format you selected.</description>
<nodelocation>264,412,-1</nodelocation>
<nodesize>256,12</nodesize>
<nodeinfo>1,0,0,1,0,1,0,,0,</nodeinfo>
<nodecolor>65535,65532,19661</nodecolor>
</text>
</module>
<index name="Country">
<title>Country</title>
<definition>['Albania','Andorra','Armenia','Austria','Azerbaijan','Belarus','Belgium','Bosnia and Herzegovina','Bulgaria','Croatia','Cyprus','Czech Republic','Denmark','Estonia','Finland','France','Georgia','Germany','Greece','Hungary','Iceland','Ireland','Italy','Kosovo','Latvia','Liechtenstein','Lithuania','Luxembourg','Macedonia, FYR','Malta','Moldova','Montenegro','Netherlands','Norway','Poland','Portugal','Romania','Russia','San Marino','Serbia','Slovakia','Slovenia','Spain','Sweden','Switzerland','Turkey','Ukraine','United Kingdom','EU-27','United States','Japan']</definition>
<nodelocation>216,192,1</nodelocation>
<nodesize>48,12</nodesize>
<att_previndexvalue>['Albania','Andorra','Armenia','Austria','Azerbaijan','Belarus','Belgium','Bosnia and Herzegovina','Bulgaria','Croatia','Cyprus','Czech Republic','Denmark','Estonia','Finland','France','Georgia','Germany','Greece','Hungary','Iceland','Ireland','Italy','Kosovo','Latvia','Liechtenstein','Lithuania','Luxembourg','Macedonia, FYR','Malta','Moldova','Montenegro','Netherlands','Norway','Poland','Portugal','Romania','Russia','San Marino','Serbia','Slovakia','Slovenia','Spain','Sweden','Switzerland','Turkey','Ukraine','United Kingdom','EU-27','United States','Japan']</att_previndexvalue>
</index>
<variable name="Population_by_countr">
<title>Population by country</title>
<definition>Table(Country,Self)(
3.2,3.5,
0.1,'-',
3.2,3.2,
8.300000000000001,8.800000000000001,
8.5,10.2,
9.699999999999999,8.6,
10.6,11.4,
3.8,'-',
7.7,6.3,
4.4,4.4,
0.8,1,
10.3,10.2,
5.4,5.8,
1.3,1.3,
5.3,5.6,
61.5,68.09999999999999,
4.4,4.1,
82.3,81.59999999999999,
11.2,11.5,
10.1,9.6,
0.3,0.4,
4.3,5.6,
59.1,59.2,
2.1,'-',
2.3,2,
0,'-',
3.4,3.1,
0.5,0.6,
2,2.1,
0.4,0.5,
3.6,3.2,
0.6,0.6,
16.4,17.8,
4.7,5.6,
38.1,36.8,
10.6,10.7,
21.6,19.6,
142.2,124.2,
0,'-',
7.4,6.9,
5.4,5.3,
2,2.1,
44.5,47.1,
9.1,10.2,
7.5,8.5,
73.40000000000001,92.09999999999999,
46.5,38.9,
60.9,67.3,
493.3,509.1,
300.3,363.6,
127.8,115.2
)</definition>
<indexvals>[2007,2030]</indexvals>
<nodelocation>216,160,1</nodelocation>
<nodesize>48,24</nodesize>
<valuestate>2,114,284,416,303,0,MIDM</valuestate>
<nodecolor>65535,52427,65534</nodecolor>
<reformdef>[Self,Country]</reformdef>
<reformval>[Self,Country]</reformval>
<att__totalsindex>[Index Country]</att__totalsindex>
</variable>
<variable name="Population_in_europe">
<title>Population in Europe</title>
<definition>var a:= Iiasa_population_da1[parameter='Total population', region='Western Europe'];
index Year:= [2007,2030];
var b:= Population_by_countr[country=Eu_30, population_by_country=year];
b:= if b = '-' then b[year=2007] else b;
a</definition>
<nodelocation>376,112,1</nodelocation>
<nodesize>48,24</nodesize>
<valuestate>2,623,75,416,303,0,MIDM</valuestate>
<reformval>[Statistics1,Year]</reformval>
<att__totalsindex>[Index Eu_30]</att__totalsindex>
<att_resultslicestate>[Parameter,1,Statistics1,2,Year,1,Region,1]</att_resultslicestate>
</variable>
<index name="Eu_30">
<title>EU-30</title>
<definition>['Andorra','Austria','Belgium','Bulgaria','Cyprus','Czech Republic','Denmark','Estonia','Finland','France','Germany','Greece','Hungary','Iceland','Ireland','Italy','Latvia','Liechtenstein','Lithuania','Luxembourg','Malta','Netherlands','Norway','Poland','Portugal','Romania','San Marino','Slovakia','Slovenia','Spain','Sweden','Switzerland','United Kingdom']</definition>
<nodelocation>376,144,1</nodelocation>
<nodesize>48,13</nodesize>
<windstate>2,102,90,476,384</windstate>
</index>
</model>
</ana>