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 Müller [aut,
cre],\n RStudio [cph]"
> packageDescription("base")$Author
[1] "R Core Team and contributors worldwide"
Bill Dunlap
TIBCO Software
wdunlap tibco.com
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
