I have a data like this and would like to merge them into one row. Certainly I can do a for loop, but this is not elegant and in efficient. My current data:
0.063456491 0.004457746 0.013450942 0.023948062 0.02247313
0.003147881 -0.018681539 -0.009495686 -0.008677241 0.013863377
0.083954841 0.100283809 0.061790913 -0.004592628 -0.052269582
-0.021375194 -0.041536406 -0.044538945 0.023639958 0.037451282
Expected output:
0.063456491 0.004457746 0.013450942 0.023948062 0.02247313 0.003147881 -0.018681539 -0.009495686 -0.008677241 0.013863377 0.083954841 0.100283809 …
Many thanks, Phuong
If all your data is numeric and you want to extract it row-wise you could do
data.frame(t(as.numeric(t(df))))
# X1 X2 X3 X4 X5 X6 ......
#1 0.06345649 0.004457746 0.01345094 0.02394806 0.02247313 0.003147881 ......
Or a more general as.vector approach would also work
data.frame(t(as.vector(t(df))))