Split (categorical) vectors into dummy variables
This function splits categorical or numeric vectors with more than two categories into 0/1-coded dummy variables.
to_dummy(x, ..., var.name = "name", suffix = c("numeric", "label"))x |
A vector or data frame. |
... |
Optional, unquoted names of variables that should be selected for
further processing. Required, if |
var.name |
Indicates how the new dummy variables are named. Use
|
suffix |
Indicates which suffix will be added to each dummy variable.
Use |
A data frame with dummy variables for each category of x.
The dummy coded variables are of type atomic.
NA values will be copied from x, so each dummy variable
has the same amount of NA's at the same position as x.
data(efc) head(to_dummy(efc$e42dep)) # add value label as suffix to new variable name head(to_dummy(efc$e42dep, suffix = "label")) # use "dummy" as new variable name head(to_dummy(efc$e42dep, var.name = "dummy")) # create multiple dummies, append to data frame to_dummy(efc, c172code, e42dep) # pipe-workflow library(dplyr) efc %>% select(e42dep, e16sex, c172code) %>% to_dummy()
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