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"