i_recode {ilabelled}

i_recode Function for recoding new variable from origin variable(s).

Description

Returns a vector object of class i_labelled

Usage

i_recode(
  x,
  ...,
  label = NULL,
  na_values = NULL,
  na_range = NULL,
  scale = NULL,
  annotation = NULL,
  wording = NULL,
  copy = NULL
)

Arguments

x

vector

...

formula for recoding of values. See examples.

label

variable label

na_values

a vector with missing values

na_range

a vector for missing range

scale

scale level (nominal, ordinal, metric)

annotation

addition information about variable

wording

question text

copy

a variable from x. Copy the values of an existing variable before recoding values according to ...

Details

Can be applied to either vector or data.frame. When x is data.frame the formula passed to ... is different from when it is applied to single vector. When function is applied to a data.frame, multiple conditions on multiple variables are possible (e.g when variable X is equal to this, do that; when variable Y is not equal to this, do that, etc.). See examples for further clarification.

You can recode directly via value labels by using

Value

Returns i_labelled vector with values defined by formula and information given to function.

Examples

# When applied to a single vector:
# keep in mind that when function is applied to vector, instead of a column use x
myVector <- i_labelled(1:4, labels = c("A" = 1, "B" = 2, "C" = 3, "D" = 4))
i_recode(x = myVector, "AB" = 1 ~ x %in% c("A", "B"), "CD" = 2 ~ x == c(3, 4))

# When applied to data.frame (multiple conditions)
myData <- data.frame(
   V1 = i_labelled(1:3, labels = c("A" = 1, "B" = 2, "C" = 3)),
   V2 = i_labelled(c(2:3,-9))
)
i_recode(x = myData, A = 1 ~ V1 %in% c("A", "B"), 2 ~ "V2" == 3, "C" = 999 ~ V2 == -9)