Recommended R functions
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Recommended R functions describes good practices for writing R code. The code should be short, straightforward to understand, efficient to run, and similar to everyone else's code.
Question
What are good practices for writing R code? The code should be short, straightforward to understand, efficient to run, and similar to everyone else's code.
Answer
| What to do | Functions to use routinely | Functions to avoid except in special cases | Examples and description |
|---|---|---|---|
| Manipulate data | data.frame | array | |
| Draw raphs | ggplot, plot | ggplot requires library(ggplot2) | |
| Summarise data along a criterion | tapply | ||
| Join two data.frames | merge | IntArray | |
| Add rows to a data.frame | rbind | ||
| Add columns to a data.frame | cbind | ||
| Transform a table from long to wide or vice versa | reshape | ||
| Get data from Opasnet Base | op_baseGetData | Requires library(OpasnetBaseUtils) > op_baseGetData("opasnet_base", "Op_en4523")[, -c(1,2)] # Gets the object with identifier Op_en4523 and slices columns 1 and 2 (id, obs) away. | |
| Get index values from Opasnet Base | op_baseGetLocs | Requires library(OpasnetBaseUtils) | |
| Write data to Opasnet Base | op_baseWrite | Requires library(OpasnetBaseUtils). Only works from a THL computer, not R-tools | |
| Slicing R objects | data[rows, cols], data$col | This is not a function but rather a list of practical ways of slicing an object. | |
| match | |||
| ifelse | |||
| is.na | |||
| colnames | |||
| Convert between data types | as.numeric, as.character, as.factor | ||
| Convert between object types | as.data.frame, as.table |
Rationale
Based on experience and testing.
See also
References
Related files
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