ReplaceValues: Replace Values

In phively/wranglR: R Data Wrangler

Description

This function is a wrapper for replace() that takes a vector or data frame and replaces all instances matching a specified value or condition with a new value.

Usage

ReplaceValues(data, old.val = NA, new.val = 0, condition = FALSE)

Arguments

data	Data frame or character vector to be manipulated
old.val	Current value to be found; defaults to NA
new.val	New value to take the place of found values; defaults to 0
condition	Whether or not to parse the input as a condition; defaults to FALSE

Examples

# Replace all NA with 0 (default behavior)
(dat <- c(-3:3, NA, NaN))
ReplaceValues(dat)

# Replace negative values with -Inf
ReplaceValues(dat, "<0", -Inf, condition=TRUE)

# Replace a with NA
set.seed(123)
(dat <- sample(letters[1:5], size=20, replace=TRUE))
ReplaceValues(dat, "a", NA)

# Replace a and e with "vowel"
ReplaceValues(dat, "%in% c('a', 'e')", "vowel", condition=TRUE)

phively/wranglR documentation built on April 11, 2020, 5:12 a.m.