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Recode one or multiple variables based on a lookup table created via createLookup (and potentially formatted by collapseColumns).


applyLookup(GADSdat, lookup, suffix = NULL)



A GADSdat object.


Lookup table created by createLookup and - if necessary - collapsed by collapseColumns. Column names must be c("variable", "value", "value_new").


Suffix to add to the existing variable names. If NULL, the old variables will be overwritten.


Returns a recoded GADSdat.


If there are missing values in the column value_new, NAs are inserted as new values and a warning is issued.

The complete work flow when using a lookup table to recode multiple variables in a GADSdat could be: (0) optional: Recode empty strings to NA (necessary, if the look up table is written to excel). (1) create a lookup table with createLookup. (2) Save the lookup table to .xlsx with write_xlsx from eatAnalysis. (3) fill out the lookup table via Excel. (4) Import the lookup table back to R via read_excel from readxl. (5) Apply the final lookup table with applyLookup.

See applyLookup_expandVar for recoding a single variable into multiple variables.


## create an example GADSdat
iris2 <- iris
iris2$Species <- as.character(iris2$Species)
gads <- import_DF(iris2)
#> Sepal.Length has been renamed to Sepal_Length
#> Sepal.Width has been renamed to Sepal_Width
#> Petal.Length has been renamed to Petal_Length
#> Petal.Width has been renamed to Petal_Width

## create Lookup
lu <- createLookup(gads, recodeVars = "Species")
lu$value_new <- c("plant 1", "plant 2", "plant 3")

## apply lookup table
gads2 <- applyLookup(gads, lookup = lu, suffix = "_r")
#> No rows removed from meta data.
#> Adding meta data for the following variables: Species_r

## only recode some values
lu2 <- createLookup(gads, recodeVars = "Species")
lu2$value_new <- c("plant 1", "plant 2", NA)
gads3 <- applyLookup(gads, lookup = lu2, suffix = "_r")
#> Warning: Not all values have a recode value assigned (missings in value_new).
#> No rows removed from meta data.
#> Adding meta data for the following variables: Species_r