unite_dt: Unite multiple columns into one by pasting strings together

In hope-data-science/tidyfst: Tidy Verbs for Fast Data Manipulation

Unite multiple columns into one by pasting strings together

Description

Convenience function to paste together multiple columns into one.

Usage

unite_dt(
  .data,
  united_colname,
  ...,
  sep = "_",
  remove = FALSE,
  na2char = FALSE
)

Arguments

.data	A data frame.
united_colname	The name of the new column, string only.
...	A selection of columns. If want to select all columns, pass "" to the parameter. See example.
sep	Separator to use between values.
remove	If TRUE, remove input columns from output data frame.
na2char	If FALSE, missing values would be merged into NA, otherwise NA is treated as character "NA". This is different from tidyr.

See Also

unite,separate_dt

Examples

df <- expand.grid(x = c("a", NA), y = c("b", NA))
df

# Treat missing value as NA, default
df %>% unite_dt("z", x:y, remove = FALSE)
# Treat missing value as character "NA"
df %>% unite_dt("z", x:y, na2char = TRUE, remove = FALSE)
df %>%
  unite_dt("xy", x:y)

# Select all columns
iris %>% unite_dt("merged_name",".")

hope-data-science/tidyfst documentation built on Sept. 23, 2024, 8:05 p.m.