match.factors {easyr}

Match Factors.

Description

Modifies two datasets so matching factor columns have the same levels. Typically this is used prior to joining or bind_rows in the easyr functions bindf, ijoinf, lfjoinf.

Usage

match.factors(df1, df2, by = NA, sort.levels = TRUE)

Arguments

df1

First data set.

df2

Second data set.

by

Columns to join on, comes from the function using match.factors (ljoinf, fjoinf, ijoinf).

sort.levels

Sort the factor levels after combining them.

Value

List of the same data but with factors modified as applicable. All factors are checked if no 'by' argument is passed. Otherwise only the 'by' argument is checked.

Examples

df1 = data.frame(
  factor1 = c( 'a', 'b', 'c' ),
  factor2 = c( 'high', 'medium', 'low' ),
  factor.join = c( '0349038u093843', '304359867893753', '3409783509735' ),
  numeric = c( 1, 2, 3 ),
  logical = c( TRUE, TRUE, TRUE )
)

df2 = data.frame(
  factor1 = c( 'd', 'e', 'f' ),
  factor2 = c( 'low', 'medium', 'high' ),
  factor.join = c( '32532532536', '304359867893753', '32534745876' ),
  numeric = c( 4, 5, 6 ),
  logical = c( FALSE, FALSE, FALSE )
)

t = match.factors( df1, df2 )
levels( df1$factor1 )
levels( t[[1]]$factor1 )
levels( t[[2]]$factor1 )