If a variable contains observations with multiple delimited values, this separates the values and places each one in its own row.

separate_rows(data, ..., sep = "[^[:alnum:].]+", convert = FALSE)

Arguments

data

A data frame.

...

<tidy-select> Columns to separate across multiple rows

sep

Separator delimiting collapsed values.

convert

If TRUE will automatically run type.convert() on the key column. This is useful if the column types are actually numeric, integer, or logical.

Examples

df <- tibble( x = 1:3, y = c("a", "d,e,f", "g,h"), z = c("1", "2,3,4", "5,6") ) separate_rows(df, y, z, convert = TRUE)
#> # A tibble: 6 x 3 #> x y z #> <int> <chr> <int> #> 1 1 a 1 #> 2 2 d 2 #> 3 2 e 3 #> 4 2 f 4 #> 5 3 g 5 #> 6 3 h 6