dummy_dt: Fast creation of dummy variables

In hope-data-science/tidyfst: Tidy Verbs for Fast Data Manipulation

Fast creation of dummy variables

Description

Quickly create dummy (binary) columns from character and factor type columns in the inputted data (and numeric columns if specified.) This function is useful for statistical analysis when you want binary columns rather than character columns.

Usage

dummy_dt(.data, ..., longname = TRUE)

Arguments

.data	data.frame
...	Columns you want to create dummy variables from. Very flexible, find in the examples.
longname	logical. Should the output column labeled with the original column name? Default uses TRUE.

Details

If no columns provided, will return the original data frame. When NA exist in the input column, they would also be considered. If the input character column contains both NA and string "NA", they would be merged.

This function is inspired by fastDummies package, but provides simple and precise usage, whereas fastDummies::dummy_cols provides more features for statistical usage.

Value

data.table

References

https://stackoverflow.com/questions/18881073/creating-dummy-variables-in-r-data-table

See Also

dummy_cols

Examples

iris %>% dummy_dt(Species)
iris %>% dummy_dt(Species,longname = FALSE)

mtcars %>% head() %>% dummy_dt(vs,am)
mtcars %>% head() %>% dummy_dt("cyl|gear")

# when there are NAs in the column
df <- data.table(x = c("a", "b", NA, NA),y = 1:4)
df %>%
  dummy_dt(x)

# when NA  and "NA" both exist, they would be merged
df <- data.table(x = c("a", "b", NA, "NA"),y = 1:4)
df %>%
  dummy_dt(x)

hope-data-science/tidyfst documentation built on Sept. 23, 2024, 8:05 p.m.