I am not averse to a factor-based solution, but I would still have to manually enter that factor each month, correct? If possible, I’d just like to point R at that column and have it do the work.
— Nathan Parsons, B.SC, M.Sc, G.C. Ph.D. Candidate, Dept. of Sociology, Portland State University Adjunct Professor, Dept. of Sociology, Washington State University Graduate Advocate, American Association of University Professors (OR) Recent work (https://www.researchgate.net/profile/Nathan_Parsons3/publications) Schedule an appointment (https://calendly.com/nate-parsons) > On Wednesday, Jul 21, 2021 at 8:30 PM, Tom Woolman <twool...@ontargettek.com > (mailto:twool...@ontargettek.com)> wrote: > > Couldn't you convert the date columns to character type data in a data > frame, and then convert those strings to factors in a 2nd step? > > The only downside I think to treating dates as factor levels is that > you might have an awful lot of factors if you have a large enough > dataset. > > > > Quoting "N. F. Parsons" <nathan.f.pars...@gmail.com>: > > > Hi all, > > > > If I have a tibble as follows: > > > > tibble(dates = c(rep("2021-07-04", 2), rep("2021-07-25", 3), > > rep("2021-07-18", 4))) > > > > how in the world do I add a column that evaluates each of those dates and > > assigns it a categorical value such that > > > > dates cycle > > <chr> <chr> > > 2021-07-04 1 > > 2021-07-04 1 > > 2021-07-25 3 > > 2021-07-25 3 > > 2021-07-25 3 > > 2021-07-18 2 > > 2021-07-18 2 > > 2021-07-18 2 > > 2021-07-18 2 > > > > Not to further complicate matters, but some months I may only have one > > date, and some months I will have 4 dates - so thats not a fixed quantity. > > We've literally been doing this by hand at my job and I'd like to automate > > it. > > > > Thanks in advance! > > > > Nate Parsons > > > > [[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. > > ______________________________________________ > 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. [[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.
