If you think what you are doing is useful, why do you not put it in a package?! That is, after all, the whole purpose of packages.
I can only speak for myself, of course, but I doubt that posting long involved messages with code here is going to have anything like the utility of providing a package with carefully written and tested code and documented functionality. If you have suggestions about how to improve a *particular* package, a better alternative is probably to contact the package maintainer. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Oct 2, 2021 at 3:00 PM Leonard Mada via R-help <r-help@r-project.org> wrote: > > Dear R Users, > > > I have started to compile some useful hacks for the generation of nice > descriptive statistics. I hope that these functions & hacks are useful > to the wider R community. I hope that package developers also get some > inspiration from the code or from these ideas. > > > I have started to review various packages focused on descriptive > statistics - although I am still at the very beginning. > > > ### Hacks / Code > - split table headers in 2 rows; > - split results over 2 rows: view.gtsummary(...); > - add abbreviations as footnotes: add.abbrev(...); > > The results are exported as a web page (using shiny) and can be printed > as a pdf documented. See the following pdf example: > > https://github.com/discoleo/R/blob/master/Stat/Tools.DescriptiveStatistics.Example_1.pdf > > > ### Example > # currently focused on package gtsummary > library(gtsummary) > library(xml2) > > mtcars %>% > # rename2(): > # - see file Tools.Data.R; > # - behaves in most cases the same as dplyr::rename(); > rename2("HP" = "hp", "Displ" = disp, "Wt (klb)" = "wt", "Rar" = > drat) %>% > # as.factor.df(): > # - see file Tools.Data.R; > # - encode as (ordered) factor; > as.factor.df("cyl", "Cyl ") %>% > # the Descriptive Statistics: > tbl_summary(by = cyl) %>% > modify_header(update = header) %>% > add_p() %>% > add_overall() %>% > modify_header(update = header0) %>% > # Hack: split long statistics !!! > view.gtsummary(view=FALSE, len=8) %>% > add.abbrev( > c("Displ", "HP", "Rar", "Wt (klb)" = "Wt"), > c("Displacement (in^3)", "Gross horsepower", "Rear axle ratio", > "Weight (1000 lbs)")); > > > The required functions are on Github: > https://github.com/discoleo/R/blob/master/Stat/Tools.DescriptiveStatistics.R > > > > The functions rename2() & as.factor.df() are only data-helpers and can > be found also on Github: > https://github.com/discoleo/R/blob/master/Stat/Tools.Data.R > > > Note: > > 1.) The function add.abbrev() operates on the generated html-code: > > - the functionality is more generic and could be used easily with other > packages that export web pages as well; > > 2.) Split statistics: is an ugly hack. I plan to redesign the > functionality using xml-technologies. But I have already too many > side-projects. > > 3.) as.factor.df(): traditionally, one would create derived data-sets or > add a new column with the variable as factor (as the user may need the > numeric values for further analysis). But it looked nicer as a single > block of code. > > > Sincerely, > > > Leonard > > ______________________________________________ > 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. ______________________________________________ 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.
