I have data that looks like
a     b     c
1     5     4
3     6     1
2     5     3
I want to convert it to convert all the columns to rows and want an output like
r1       r2     r3     r4
a        1       3      2
b        5       6      5
c        4       1      3
Thanks in advance
We can transpose the dataset and convert to data.frame with the first column as the row names.
m1 <- t(df1)
d2 <- data.frame(r1= row.names(m1), m1, row.names=NULL) 
EDIT: Included the row.names argument in the data.frame call (from @Richard Scriven's comment)
Or  as @Ananda Mahto mentioned, we can use names(df1) to create the 'r1' column, thereby skipping the creation of an object in the global environment.
d2 <- data.frame(r1=names(df1), t(df1))
Or another option is melt/dcast.  We convert the data.frame to matrix, melt to 'long' format and then dcast it to 'wide' format.
library(reshape2)
dcast(melt(as.matrix(df1)), Var2~paste0('r', Var1), value.var='value')
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