recode_missing: recode_missing

In HallLab/clarite: CLeaning to Analysis: Reproducibility-based Interface for Traits and Exposures

Description

Recode if there is one missing value for entire dataset
Empty strings ("") and "NA" will be replaced by NA regardless of keys
Note: Replaced values must be a factor, integer, or numeric (other values are ignored). Float values may fail to convert due to rounding.

Usage

recode_missing(df, na_val)

Arguments

df	data frame
na_val	value to replace with NA

Value

data frame with missing value recoded to NA

See Also

Other functions for recoding missing values: recode_key

Examples

# Create an example dataset
df <- data.frame("ID" = 1:3,
                 "Age" = c(21,15, 34),
                 "Name" = c("John","Jane", "Jill"),
                 "Value1" = c("a", "b", "NA"),
                 "Value2" = c(1, 2, 99))
# Recode 99 and "NA" to NA
recoded <- recode_missing(df, 99)

HallLab/clarite documentation built on Oct. 27, 2020, 6:27 p.m.