Given the R data.frame:
> df1
a b c
1 1 1 0
2 1 0 0
3 0 1 0
4 0 0 0
Shuffle row-wise:
> df2 <- df1[sample(nrow(df1)),]
> df2
a b c
3 0 1 0
4 0 0 0
2 1 0 0
1 1 1 0
By default sample()
randomly reorders the elements passed as the first argument. This means that the default size is the size of the passed array. Passing parameter replace=FALSE
(the default) to sample(...)
ensures that sampling is done without replacement which accomplishes a row wise shuffle.
Shuffle column-wise:
> df3 <- df1[,sample(ncol(df1))]
> df3
c a b
1 0 1 1
2 0 1 0
3 0 0 1
4 0 0 0