On Wed, 9 Jul 2014 04:47:39 PM Janet Choate wrote: > Hi R community, > i created a function (mkdate) as follows: > > mkdate = function(x) { > x$date = as.Date(paste(x$year, x$month, x$day, sep="-")) > x$wy = ifelse(x$month >=10, x$year+1, x$year) > x$yd = as.integer(format(as.Date(x$date), format="%j")) > x$wyd = cal.wyd(x) > x > } > > the function results in adding the new columns date, wy, yd, and wyd to the > table i apply it to. > this has always worked in R version 2.14.2. > however, in R version 3.1.0 - instead of my mkdate function adding those > columns to my existing table, it just overwrites my table and leaves me > with just a list of the last variable created by my mkdate function. so i > end up with just a list of numbers representing wyd, and lose all the data > in my original table. > > does anyone know what would now be causing this to occur, and what i need > to do to make my function work properly again? > > thank you for any assistance, > Janet > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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. Hi Janet, It looks to me as though x should be at least a three column list containing a year, month and day in numeric format. You then add four other fields to it and return the resulting (at least) seven column list. What you may have been doing was to pass your entire data frame (?) to the function with one or more incomplete rows, whereupon the function would calculate the four fields for all the rows and fill in the incomplete rows. This is not a very efficient way to do this and you should probably consider just passing the new values and appending the object returned to your data frame.
Jim ______________________________________________ R-help@r-project.org mailing list 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.