R: Split data frame when number of columns is a prime

问题

I have a data.frame that has 131 columns. I need to part this into groups of about 10 to 15 variables (i.e., splitting by column, not by row!). Obviously, as 131 is a prime number, not all the new dataframes can be of equal length...

I searched for an answer in the posts

• How to cut data in even pieces in R?
• Split a vector into chunks in R
• Splitting a large vector into intervals in R

But they all seem to assume that the new data frames are of equal size.

EDIT thanks to the comments below, I will try to clarify:

My data frame looks like this

head(trainData)
 ID          drop_vce_Range drop_dat_Range blck_vce_Range blck_dat_Range
48550           high            low           high            low
30965            low            low           high           high
40501            low            low            med            low
41771            med            low            low            low
42138            med            low            low            low
42975           high            low            low            low

This dataframe has 131 columns. I want to have several data frames in my globalenv, for instances with the names "Training_Part_1", "Training_Part_2" and so on. Each of these new data.frames should consist of about 15 columns of the old data.frame.

回答1:

This creates a list of data frames formed by cutting the 8 columns of the built-in data frame anscombe into 3 unequal sets:

k <- 3
nc <- ncol(anscombe)
lapply(split(as.list(anscombe), cut(1:nc, k, labels = FALSE)), as.data.frame)

来源：https://stackoverflow.com/questions/29011315/r-split-data-frame-when-number-of-columns-is-a-prime