fuzzyjoin (version 0.1.6)

regex_join: Join two tables based on a regular expression in one column matching the other

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

# NOT RUN {
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"))

# }