winsorZ: Winsorize outliers based on z-score cutoff to next most...

In scipub: Summarize Data for Scientific Publication

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)

Arguments

x	The input variable to Winsorize.
zbound	The Z-score cutoff (default=3, i.e. outliers are Z>3 | Z<-3).

Value

Output Winsorized variable

Examples

winsorZ(psydat$iq)
## Not run: 
psydat %>%
  dplyr::select(c(iq, anxT)) %>%
  map(winsorZ)
psydat %>% mutate_at(c("iq", "anxT"), list(~ winsorZ(.)))
psydat %>% mutate_if(is.double, list(~ winsorZ(.)))

## End(Not run)

scipub documentation built on May 29, 2024, 6:43 a.m.