Split() function to split into groups, not individual elements - in R

user_15595832 0
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Is there a way to split a dataframe into groups of elements and not individual elements. For example, in the following code

rs_scq_user_ <- split(regular_season, list(regular_season$season,
                regular_season$category, regular_season$question))

Say within the "season" column, I wanted

winter, spring

to stay together and

summer, fall

to stay together. How would I go about doing this?

r split
1 Answers

An option is to create a logical column for that. Below, the 'flag' with TRUE values indicate 'winter', 'spring' and the FALSE would be automatically the res i.e. 'summer', fall' (assuming there are only 4 season in the data)

regular_season$flag <- with(regular_season, season %in% 
        c('winter', 'spring'))

Then, use split with 'category', 'question' and 'flag' instead of 'season'

lst1 <- split(regular_season, regular_season[c('category', 'question', 
         'flag')], drop = TRUE)

Or another option is group_split from dplyr

library(dplyr)
regular_season %>%
    group_split(category, question, flag = season %in% c('winter', 'spring'))

Or if we prefer to have a concatenated 'season' as new 'season'

regular_season %>%
    group_split(category, question, 
       season_concat = case_when(season %in% c('winter', 'spring') 
                 ~ 'winter_spring', TRUE ~ 'summer_fall'))
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