easyr (version 0.3-1)

ijoinf: Inner Join with Factors

Description

dplyr's inner_join doesn't work well when the data frame has factors. This function handles factors before applying the join. Author: Bryce Chamberlain.

Usage

ijoinf(
  data.left,
  data.right,
  by,
  sort.levels = TRUE,
  restrict.levels = FALSE,
  ...
)

Arguments

data.left

Left data. Only rows that matche the join will be included (may still result in duplication).

data.right

Right data. Only rows that matche the join will be included (may also result in duplication).

by

Columns to join on. Passed to dplyr join.

sort.levels

Sort the factor levels after combining them.

restrict.levels

Often the joined data won't use all the levels in both datasets. Set to TRUE to remove factor levels that aren't in the joined data.

...

Other arguments passed to inner_join.

Value

Joined data, with any factors modified to contain all levels in the joined data.

Examples

# NOT RUN {
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 )
)

ljoinf( df1, df2, by = 'factor.join' )

# }