apply_levels: Converts the column factor levels in 'df' to those in...

In crtests: Classification and Regression Tests

Description

Each column in the result is a factor with the values of df and the levels of df_reference. This means that if there are levels in df_to_change that are not in df_reference, NAs will be introduced. The main use of this function is in classifier problems, where the training and the test set need to have equal factors. To work, all names(df_reference) need to be

Usage

apply_levels(df, df_reference)

Arguments

df	The df that is to be releveled
df_reference	A reference df, which column levels will be applied to df if that column is a factor

Value

A data.frame where all factor's levels where changed. Through applying new levels, NAs could have been introduced

crtests documentation built on May 1, 2019, 9:09 p.m.