I think that using colnames
and rownames
makes the most sense; here's why.
Using names
has several disadvantages. You have to remember that it means "column names", and it only works with data frame, so you'll need to call colnames
whenever you use matrices. By calling colnames
, you only have to remember one function. Finally, if you look at the code for colnames
, you will see that it calls names
in the case of a data frame anyway, so the output is identical.
rownames
and row.names
return the same values for data frame and matrices; the only difference that I have spotted is that where there aren't any names, rownames
will print "NULL" (as does colnames
), but row.names
returns it invisibly. Since there isn't much to choose between the two functions, rownames
wins on the grounds of aesthetics, since it pairs more prettily withcolnames
. (Also, for the lazy programmer, you save a character of typing.)