How to make different dataframes using split

Question

I know the split command is the easiest way to turn a df into a list of df objects, but how can they be assigned to different (seperated) dataframes?

df.List         


        

Answer 1

Hereby my solution (example with the iris dataset)

two way:

list_df <- split(iris, iris$Species) #split the dataset into a list of datasets based on the value of iris$Species
list2env(list_DF, envir= .GlobalEnv) #split the list into separate datasets

one way:

list2env(split(iris, iris$Species), envir = .GlobalEnv)

Or you can assign custom names for the new datasets with a for loop:

iris_split <- split(iris, iris$Species)
new_names <- c("one", "two", "three")
for (i in 1:length(iris_split)) {
  assign(new_names[i], iris_split[[i]])

Answer 2

Look at the function list2env. Try:

list2env(split(df, df$column), envir = .GlobalEnv)