Jim Lemon wrote: > [EMAIL PROTECTED] wrote: >> Dear list readers, >> I want to: >> >> 1. Get a table of basic descriptive statistics for my variables >> with the variable names one below the other >> like SPSS descriptive statistics: >> >> Varname N Min Max Mean SD >> xxxx x x x x x >> xxx x x x x x >> .... >> > This looks very much like the output of the "describe" function in the > prettyR package. You can specify which summary stats you want (even roll > your own).
And if that's not enough: library(pastecs) data(trees) t(stat.desc(trees)) ?stat.desc >> 2. Delete some variables from a data frame or exclude variables >> from beeing analyzed. df2 <- df[ , -c(1, 3), drop = FALSE] for instance to eliminate variables in columns 1 and 3, but there are many other ways to select variables to use in an analysis, beginning with the formula interface, see, e.g., ?lm. >> 3. Create a text file / redirect the terminal output to a >> file (it is supposed to be easy, but I could not find a solution)? >> > sink("myoutputfile.txt") > do.your.stuff(...) > sink() > OR > maybe you would enjoy "htmlize" or "R2html" in the prettyR package. ... or the R2html package! >> 4. Create a latex/dvi file >> > You do this with Sweave, I think. See also functions in the Hmisc package. >> 5. Create a PDF file (can that be done within R?) >> > For plots, the pdf device. See ?pdf Please, note first search commands: apropos("pdf") RSiteSearch("latex") Using these, you would have found by yourself the various corresponding functions. Philippe > 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. > ______________________________________________ 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.