replace_dt: Fast value replacement in data frame

In tidyfst: Tidy Verbs for Fast Data Manipulation

Fast value replacement in data frame

Description

While replace_na_dt could replace all NAs to another value, replace_dt could replace any value(s) to another specific value.

Usage

replace_dt(.data, ..., from = is.nan, to = NA)

Arguments

.data	A data.frame
...	Colunms to be replaced. If not specified, use all columns.
from	A value, a vector of values or a function returns a logical value. Defaults to is.nan.
to	A value. Defaults to NA.

Value

A data.table.

See Also

replace_na_dt

Examples

iris %>% mutate_vars(is.factor,as.character) -> new_iris

new_iris %>%
  replace_dt(Species, from = "setosa",to = "SS")
new_iris %>%
  replace_dt(Species,from = c("setosa","virginica"),to = "sv")
new_iris %>%
  replace_dt(Petal.Width, from = .2,to = 2)
new_iris %>%
  replace_dt(from = .2,to = NA)
new_iris %>%
  replace_dt(is.numeric, from = function(x) x > 3, to = 9999 )

tidyfst documentation built on July 26, 2023, 5:20 p.m.