dummify: Make Dummy (Binary) Variable from the Values of Another...
In prlitics/dumdum: An Easy Way to Make Dummy (Binary) Variables

Description Usage Arguments Value Examples

View source: R/dummify.R

This function allows you to construct a series of dummy variables from the values of a separate variable. E.g., if you have a variable called "race" with the following values: "White","Black","Asian","Native American/Alaskan Native", "Native Hawaiian", and "Other"–this function creates binary variables for each of the values, or however many the user specifies.

1	dummify(data, var, reference = NULL, dumNames = NULL, keepNA = TRUE)

`data`	A dataframe containing the variable to be dummied.
`var`	A string naming the variable to be dummied or the column index. Accepts variables integer, string, and factor values.
`reference`	An optional parameter that allows users to set and/or identify reference values with either TRUE, a character list, or a named list. Defaults to NULL.If TRUE, `dummify()` will leave out the first value encountered in the variable. If `reference` is a single variable, `dummify()` will leave out that variable. If `reference` is multiple variables, then `dummify()` will leave out all identified variables.
`dumNames`	An optional parameter that allows users to name the dummy variables they create with `dummify()`. Accepts a character vector or a named list. If passed a character vector, the columns will be renamed in the order of the list. If `reference` is a named list, `dummify()` will rename the dummied column where the named value is equal to 1 with the name passed.
`keepNA`	Defaults to TRUE. An optional parameter that allows users to decide if they want to consider NAs as values to be turned into a dummy column.

The inputted dataframe with additional columns containing the dummified variables

dummify(data = iris, var = "Species")
dummify(data = iris, var = 5)
dummify(data = iris, var = "Species", reference = TRUE)
dummify(data = iris, var = "Species", reference = "setosa")
dummify(data = iris, var = "Species", reference = "setosa", keepNA = FALSE)
dummify(data = iris, var = "Species", reference = c("setosa","virginica"))
dummify(data = iris, var = "Species", dumNames = c("BristlePointed","BlueFlag","Virginia"))
dummify(data = iris, var = "Species", dumNames = c("BristlePointed" = "setosa",
"BlueFlag" = "versicolor","Virginia" = "virginica"))