Test variable C: Difference between revisions

Latest revision as of 12:45, 21 May 2012

This page is a knowledge crystal of subtype variable. The page identifier is Op_en5684
Moderator:Erkki Kuusisto (see all)
This page is a stub. You may improve it into a full page.
Upload data {{#opasnet_base_link:Op_en5684}}

Question

For test purposes, a simple exposure-response function (ERF) that can be called from another variable?

Answer

Use Miedema's ERF for the prevalence of high annoyance as a function of road noise exposure (Lden).

To use this function, include the R code named "ERF_Lden_HA" from this page as follows...

...and using the input variable "Lden" call the function as follows:

PercentHighlyAnnoyedByRoadNoise <- ERF_Lden_HA(Lden)

Rationale

Dependencies

Formula

+ Show code - Hide code


ERF_road_Lden_HA <- function(Lden) {
	PercentHighlyAnnoyedByRoadNoise <-
	9.868 * 10^-4  * (Lden - 42)^3 - 1.436 * 10^-2 * (Lden-42)^2 + 0.5118 * (Lden - 42)

	return(PercentHighlyAnnoyedByRoadNoise)
}


# debug ERF_road_Lden_HA(60)

Keywords

References

Related files

Test variable C. Opasnet . [1]. Accessed 22 Nov 2024.

@@ Line 1: / Line 1: @@
- '''Brief guidance about the contents.''' This box of text can removed.
-    <nowiki>{{variable}}</nowiki> template:
-         Put your own username in moderator=Username unless someone else takes care of the page content.
-         When the page is quite developed, change stub=No
-    Question (previously Scope) Specifies a clear research question.
-         This includes a question and a verbal definition of the spatial, temporal, and other limits
-         (system boundaries) of the variable. The question is defined according to the use
-         purpose of the assessment(s) that the variable belongs to.
-    Answer (previously Result) Answer to the research question.
-         Contains anything that a reader needs to understand the answer. If possible, a numerical expression or distribution.
-         If there is more than a single answer, i.e. the answer is actually a list of answers, a [[data table]] should be used.
-         Contains also the unit(s) in which the answer is expressed.
-    Rationale (previously Definition) Description about how the answer is derived.
-         Rationale contains anything that is needed to convince a critical rational reader.
-         Description of the data used for obtaining the value of the variable
-         (e.g. measurement data; mathematical method and its parameters).
-         Please include references (preferably using the ''<nowiki><ref> </ref></nowiki>'' tags)
-         and links to original data, as appropriate.
-         May contain subheadings Dependencies and Formula.
-         Subheadings no longer used: Data as most of Rationale is this anyway; Unit as it is already mentioned in Answer.
-             Dependencies: Links to all variables whose answers affect the answer of this variable.
-             Formula (or R code): computer code or mathematical formula for calculating the answer.
-    See also: Links to relevant information that does not belong to ''Rationale''.
-    Keywords: Any words that help users to find this page with search tools.
-    References will appear automatically, if cited above using the ''<nowiki><ref> </ref></nowiki>'' tags.
-         Additional references can also be listed here.
-    ''Related files'' automatically shows files from [[Opasnet File]] if they have been linked to this page.
-    <nowiki>{{publication}}</nowiki> can be used if the page is good enough to be a publication by itself. Otherwise, delete.
 {{variable|moderator=Erkki Kuusisto|stub=Yes}}
 == Question ==
+For test purposes, a simple exposure-response function (ERF) that can be called from another variable?
 == Answer ==
+Use Miedema's ERF for the prevalence of high annoyance as a function of road noise exposure (Lden).
+To use this function, include the R code named "ERF_Lden_HA" from this page as follows...
+<nowiki><</nowiki>rcode
+	include="page:Test_variable_C|name:ERF_Lden_HA"
+<nowiki>></nowiki>
+...and using the input variable "Lden" call the function as follows:
+PercentHighlyAnnoyedByRoadNoise <- ERF_Lden_HA(Lden)
 == Rationale ==
@@ Line 44: / Line 25: @@
 === Formula ===
+<rcode showcode="1"
+	name="ERF_road_Lden_HA"
+>
+ERF_road_Lden_HA <- function(Lden) {
+	PercentHighlyAnnoyedByRoadNoise <-
+.868 * 10^-4  * (Lden - 42)^3 - 1.436 * 10^-2 * (Lden-42)^2 + 0.5118 * (Lden - 42)
+	return(PercentHighlyAnnoyedByRoadNoise)
+}
+# debug ERF_road_Lden_HA(60)
+</rcode>
 ==See also==