scipub (version 1.3.0)

winsorZ: Winsorize outliers based on z-score cutoff to next most extreme non-outlier value

Description

The winsorZ function identifies outliers based on Z-score cutoff and replaces with the next most extreme non-outlier value. This involves z-scoring the variable and identifying/replacing any cases beyond the z-score threshold. The winsorZ_find function is an optional companion to flag any Z-score outliers to tally as needed.

Usage

winsorZ(x, zbound = 3)

Value

Output Winsorized variable

Arguments

x

The input variable to Winsorize.

zbound

The Z-score cutoff (default=3, i.e. outliers are Z>3 | Z<-3).

Examples

winsorZ(psydat$iq)
if (FALSE) {
psydat %>%
  dplyr::select(c(iq, anxT)) %>%
  map(winsorZ)
psydat %>% mutate_at(c("iq", "anxT"), list(~ winsorZ(.)))
psydat %>% mutate_if(is.double, list(~ winsorZ(.)))
}