Hi Tom, What you want is a list rather than a data frame. So: df<-read.table(text=" Dat1 Dat2 Dat3 1 1 5 4 2 7 7 9 3 3 3 5 4 2 NA 5 5 9 NA NA", header=TRUE) dflist<-as.list(df) na.remove<-function(x) return(x[!is.na(x)]) sapply(dflist,na.remove)
Jim On Fri, Apr 15, 2016 at 7:33 AM, Tom Mosca <t...@vims.edu> wrote: > Hello, > > I’ve tried several times to learn R, but have never gotten past a particular > gate. My data are organized by column in Excel, with column headers in the > first row. The columns are of unequal lengths. I export them as CSV, then > import the CSV file into R. I wish to summarize the data by column. R > inserts NA for missing values, then refuses to operate on columns with NA. R > is importing my data into a data frame, and I realize that is inappropriate > for what I want to do. > > How can I import my data so that I can work on columns of unequal length? > The first thing I would like to do is generate a table containing mean, > median, mode, standard deviation, min, max and count, all per column. > > Thank you, Tom > > Example data > Dat1 Dat2 Dat3 > 1 1 5 4 > 2 7 7 9 > 3 3 3 5 > 4 2 NA 5 > 5 9 NA NA > > [[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.
