tidyft (version 0.9.20)

replace_vars: Fast value replacement in data frame

Description

replace_vars could replace any value(s) or values that match specific patterns to another specific value in a data.table.

Usage

replace_vars(.data, ..., from = is.na, to)

Value

A data.table.

Arguments

.data

A data.table

...

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 NaN.

to

A value.

See Also

replace_dt

Examples

 iris %>% as.data.table() %>%
   mutate(Species = as.character(Species))-> new_iris

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