I\'m relatively new to R and have been trying to find a solution to this problem for a while. I am trying to take a data frame and essentially do the reverse of rbind, so th
You can split
the dataset by row
after converting to matrix
, set the names (setNames
) of the list elements as 'Row1:Row3' and use list2env
to assign the objects in the global environment.
list2env(setNames(split(as.matrix(df),
row(df)), paste0("Row",1:3)), envir=.GlobalEnv)
Row1
#[1] "A" "B" "C"
Row2
#[1] "D" "E" "F"
A slightly different approach than @akrun's:
Df <- data.frame(matrix(LETTERS[1:9],nrow=3))
##
R> ls()
[1] "Df"
##
sapply(1:nrow(Df), function(x){
assign(paste0("Row",row.names(Df)[x]),
value=Reduce(function(x,y){c(x,y)},Df[x,]),
envir=.GlobalEnv)
})
##
R> ls()
[1] "Df" "Row1" "Row2" "Row3"
R> Row1
[1] "A" "D" "G"
R> Row2
[1] "B" "E" "H"
R> Row3
[1] "C" "F" "I"