Reformats (numeric) variables in data frames or tibbles to use mark as the thousand separator, rounded to a specified number of digits. It is designed to preceed a call to kable.
Arguments
- x
a data frame or tibble with variables to reformat.
- ...
other arguments parsed to methods (currently unused)
- names
character vector with variable names in
xto reformat.- digits
the number of decimal places to round variables (using
round).digitscan be: length 1, and applied to all variables innames; or, length equal tolength(names), with decimal places specific to each variable innames.- mark
character used to separate thousands. Defaults to
mark = ",".
Value
an object of class x, where variables in names have been reformatted. Note that variables in names will have been coerced to characters.
Examples
dat <- data.frame(a = LETTERS[1:10], b = (1:10) * 500, c = (-5:4) * 500)
table_format(dat, c("b", "c"), digits = 1)
#> New names:
#> • `` -> `...1`
#> • `` -> `...2`
#> New names:
#> • `` -> `...1`
#> • `` -> `...2`
#> a b c
#> 1 A 500.0 -2,500.0
#> 2 B 1,000.0 -2,000.0
#> 3 C 1,500.0 -1,500.0
#> 4 D 2,000.0 -1,000.0
#> 5 E 2,500.0 -500.0
#> 6 F 3,000.0 0.0
#> 7 G 3,500.0 500.0
#> 8 H 4,000.0 1,000.0
#> 9 I 4,500.0 1,500.0
#> 10 J 5,000.0 2,000.0
table_format(dat, c("b", "c"), digits = c(1, 2))
#> New names:
#> • `` -> `...1`
#> • `` -> `...2`
#> New names:
#> • `` -> `...1`
#> • `` -> `...2`
#> a b c
#> 1 A 500.0 -2,500.00
#> 2 B 1,000.0 -2,000.00
#> 3 C 1,500.0 -1,500.00
#> 4 D 2,000.0 -1,000.00
#> 5 E 2,500.0 -500.00
#> 6 F 3,000.0 0.00
#> 7 G 3,500.0 500.00
#> 8 H 4,000.0 1,000.00
#> 9 I 4,500.0 1,500.00
#> 10 J 5,000.0 2,000.00