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Indexation

Indexation

One of the fundamental features of i_labelled objects is that both underlying values and value labels can be used for logical operations.

The following rules must be observed when indexing i_labelled objects:

  1. If numerical values are used for the indexation of numerical i_labelled data, the underlying numerical values of the i_labelled data are used for the comparison.
  2. If character values or values of class i_labelled are used for indexation, value labels are always used over the underlying values of the i_labelled data.

Example 1: Indexation of unterlying data

myData <- i_labelled(
  x = c(1, 2, 3, NA), 
  labels = c("A" = 1, "B" = 2, "C" = 3), 
  label = "my Variable"
)

myData %in% 1
#> [1]  TRUE FALSE FALSE FALSE
myData == 1
#> [1]  TRUE FALSE FALSE    NA
myData > 1
#> [1] FALSE  TRUE  TRUE    NA

Example 2: Indexation of value labels

Keep in mind, if character values are used for indexation, value labels are alway chosen over underlying values.

myData %in% c("A", "B")
#> [1]  TRUE  TRUE FALSE FALSE
myData != "C"
#> [1]  TRUE  TRUE FALSE    NA
myData > "A"
#> [1] FALSE  TRUE  TRUE    NA

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They may not be fully stable and should be used with caution. We make no claims about them.