coercive-joins: Perform dplyr joins with incompatible types

In daranzolin/hacksaw: Additional Tools for Splitting and Cleaning Data

Description

These joins will coerce key columns to a common atomic type.

Usage

left_join2(
  x,
  y,
  by = NULL,
  coerce_on_conflict = c("character", "numeric"),
  suffix = c(".x", ".y"),
  ...,
  keep = FALSE
)

inner_join2(
  x,
  y,
  by = NULL,
  coerce_on_conflict = c("character", "numeric"),
  suffix = c(".x", ".y"),
  ...,
  keep = FALSE
)

right_join2(
  x,
  y,
  by = NULL,
  coerce_on_conflict = c("character", "numeric"),
  suffix = c(".x", ".y"),
  ...,
  keep = FALSE
)

full_join2(
  x,
  y,
  by = NULL,
  coerce_on_conflict = c("character", "numeric"),
  suffix = c(".x", ".y"),
  ...,
  keep = FALSE
)

Arguments

x	A data frame
y	A data frame
by	A character vector of variables to join by. Can be NULL.
coerce_on_conflict	Either 'character' or 'numeric'.
suffix	If there are non-joined duplicate variables in x and y, these suffixes will be added to the output to disambiguate them. Should be a character vector of length 2.
...	Other parameters passed on to methods
keep	Should the join keys from both x and y be preserved in the output?

Value

a data frame

Examples

df1 <- data.frame(x = 1:10, b = 1:10, y = letters[1:10])
df2 <- data.frame(x = as.character(1:10), z = letters[11:20])
left_join2(df1, df2)

daranzolin/hacksaw documentation built on April 14, 2021, 6:32 a.m.