select_vars {dplyr} | R Documentation |
These functions power select()
and rename()
.
select_vars(vars, ..., include = character(), exclude = character()) select_vars_(vars, args, include = character(), exclude = character()) rename_vars(vars, ...) rename_vars_(vars, args)
vars |
A character vector of existing column names. |
..., args |
Expressions to compute. |
include, exclude |
Character vector of column names to always include/exclude. |
A named character vector. Values are existing column names, names are new names.
# Keep variables select_vars(names(iris), everything()) select_vars(names(iris), starts_with("Petal")) select_vars(names(iris), ends_with("Width")) select_vars(names(iris), contains("etal")) select_vars(names(iris), matches(".t.")) select_vars(names(iris), Petal.Length, Petal.Width) select_vars(names(iris), one_of("Petal.Length", "Petal.Width")) df <- as.data.frame(matrix(runif(100), nrow = 10)) df <- df[c(3, 4, 7, 1, 9, 8, 5, 2, 6, 10)] select_vars(names(df), num_range("V", 4:6)) # Drop variables select_vars(names(iris), -starts_with("Petal")) select_vars(names(iris), -ends_with("Width")) select_vars(names(iris), -contains("etal")) select_vars(names(iris), -matches(".t.")) select_vars(names(iris), -Petal.Length, -Petal.Width) # Rename variables select_vars(names(iris), petal_length = Petal.Length) select_vars(names(iris), petal = starts_with("Petal")) # Rename variables preserving all existing rename_vars(names(iris), petal_length = Petal.Length) # Standard evaluation ------------------------------------------------------- # You can use names, calls, formulas (or lists of), or a character vector select_vars_(names(iris), list(~Petal.Length)) select_vars_(names(iris), list(quote(Petal.Length))) select_vars_(names(iris), "Petal.Length")