h_df_factors_with_explicit_na: Conversion to Factors with Explicit Missing Level in a...

In insightsengineering/hermes: Preprocessing, analyzing, and reporting of RNA-seq data

Conversion to Factors with Explicit Missing Level in a data.frame

Description

This helper function converts all character and logical variables to factor variables in a data.frame. It also sets an explicit missing data level for all factor variables that have at least one NA. Empty strings are handled as NA.

Usage

h_df_factors_with_explicit_na(data, na_level = "<Missing>")

Arguments

data	(data.frame) input data with at least one column.
na_level	(string) explicit missing level to be used.

Value

The modified data.

Examples

dat <- data.frame(
  a = c(NA, 2),
  b = c("A", NA),
  c = c("C", "D"),
  d = factor(c(NA, "X")),
  e = factor(c("Y", "Z"))
)
h_df_factors_with_explicit_na(dat)

insightsengineering/hermes documentation built on March 1, 2023, 5:58 a.m.