set_na_if: Replace specific values in vector with NA
In sjPlot/sjmisc: Data and Variable Transformation Functions

set_na_if

R Documentation

Replace specific values in vector with NA

Description

set_na_if() is a scoped variant of set_na, where values will be replaced only with NA's for those variables that match the logical condition of predicate.

Usage

set_na_if(x, predicate, na, drop.levels = TRUE, as.tag = FALSE)

Arguments

`x`	A vector or data frame.
`predicate`	A predicate function to be applied to the columns. The variables for which `predicate` returns `TRUE` are selected.
`na`	Numeric vector with values that should be replaced with NA values, or a character vector if values of factors or character vectors should be replaced. For labelled vectors, may also be the name of a value label. In this case, the associated values for the value labels in each vector will be replaced with `NA`. `na` can also be a named vector. If `as.tag = FALSE`, values will be replaced only in those variables that are indicated by the value names (see 'Examples').
`drop.levels`	Logical, if `TRUE`, factor levels of values that have been replaced with `NA` are dropped. See 'Examples'.
`as.tag`	Logical, if `TRUE`, values in `x` will be replaced by `tagged_na`, else by usual `NA` values. Use a named vector to assign the value label to the tagged NA value (see 'Examples').

Value

x, with all values in na being replaced by NA. If x is a data frame, the complete data frame x will be returned, with NA's set for variables specified in ...; if ... is not specified, applies to all variables in the data frame.

Examples

dummy <- data.frame(var1 = sample(1:8, 100, replace = TRUE),
                    var2 = sample(1:10, 100, replace = TRUE),
                    var3 = sample(1:6, 100, replace = TRUE))

p <- function(x) max(x, na.rm = TRUE) > 7
tmp <- set_na_if(dummy, predicate = p, na = 8:9)
head(tmp)

sjPlot/sjmisc documentation built on May 15, 2024, 6:43 p.m.