regex_join: Join two tables based on a regular expression in one column...

In fuzzyjoin: Join Tables Together on Inexact Matching

Description

Join a table with a string column by a regular expression column in another table

Usage

regex_join(x, y, by = NULL, mode = "inner", ignore_case = FALSE)

regex_inner_join(x, y, by = NULL, ignore_case = FALSE)

regex_left_join(x, y, by = NULL, ignore_case = FALSE)

regex_right_join(x, y, by = NULL, ignore_case = FALSE)

regex_full_join(x, y, by = NULL, ignore_case = FALSE)

regex_semi_join(x, y, by = NULL, ignore_case = FALSE)

regex_anti_join(x, y, by = NULL, ignore_case = FALSE)

Arguments

x	A tbl
y	A tbl
by	Columns by which to join the two tables
mode	One of "inner", "left", "right", "full" "semi", or "anti"
ignore_case	Whether to be case insensitive (default no)

See Also

str_detect

Examples

library(dplyr)
library(ggplot2)
data(diamonds)

diamonds <- tbl_df(diamonds)

d <- data_frame(regex_name = c("^Idea", "mium", "Good"),
                type = 1:3)

# When they are inner_joined, only Good<->Good matches
diamonds %>%
  inner_join(d, by = c(cut = "regex_name"))

# but we can regex match them
diamonds %>%
 regex_inner_join(d, by = c(cut = "regex_name"))

fuzzyjoin documentation built on July 1, 2020, 7:07 p.m.