The default row.names on a data.frame made by the core-R data.frame
function are of the the form c(NA, -NROW(dataFrame)). The dplyr package
has a 'data_frame' function that uses c(NA, +NROW(dataFrame)) instead.
The
tibble package also has a data_frame function, but it uses the negative
length.
As far as I can see, the positive and negative forms mean the same thing.
Is there any reason for the difference? It makes testing a bit difficult
since all.equal() says they are the the same but identical() says they
differ.
> base::.row_names_info(dplyr::data_frame(X=101:110), 0)
[1] NA 10> base::.row_names_info(tibble::data_frame(X=101:110), 0)
[1] NA -10> base::.row_names_info(base::data.frame(X=101:110), 0)
[1] NA -10>
> packageDescription("dplyr")$Author
[1] "Hadley Wickham [aut, cre],\n Romain Francois [aut],\n RStudio
[cph]"> packageDescription("tibble")$Author
[1] "Hadley Wickham [aut],\n Romain Francois [aut],\n Kirill M?ller [aut,
cre],\n RStudio [cph]"> packageDescription("base")$Author
[1] "R Core Team and contributors worldwide"
Bill Dunlap
TIBCO Software
wdunlap tibco.com
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