recode_key: recode_key

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

Description

Recode multiple values to NA based on a data key listing values specific to each column.
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_key(df, key)

Arguments

df	data frame
key	data frame with two columns, "Variable" and "Missing.Value"

Value

data frame with all missing values recoded to NA

See Also

Other functions for recoding missing values: recode_missing

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, 98, 99))
# Recode 'Value1' ("NA" is NA) and 'Value2' (98 and 99 are both NA)
key <- data.frame("Variable" = c("Value2", "Value2"),
                  "Missing Value" = c(98, 99))
# Run the function
recoded <- recode_key(df, key)

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