can you give me an example? I did all sorts of numerical indexing programming, from fortran, matlab, python/numpy and R, and I am definitely more comfortable with 0 based indexing.
My quick philosophy/logic background can you make a strong arguement for why Julia/R (statistical programming) should use 0 based?
I am totally fine with zero base in Python and Lisp and such. BUT when I am doing statistics and the math is 1 based I think the ability to make a mistake is to big. Also for subset in R df[1, 1] would be the 2nd row and 2nd column would just throw most users of R.
I am totally fine with zero base in Python and Lisp and such. BUT when I am doing statistics and the math is 1 based I think the ability to make a mistake is to big. Also for subset in R df[1, 1] would be the 2nd row and 2nd column would just throw most users of R.