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