> On Aug 22, 2015, at 8:49 AM, John Kane <jrkrid...@inbox.com> wrote: > > We are talking at cross-purposes here because SAS and R are radically > different beasts. Just about everything you did in SAS does not work / is > wrong / is illegal / is immoral / and possibly fattening.
Fortune candidate! :-) Regards, Marc Schwartz > > If you have not seen it, you may find Bob Muenchen's pdf and/or the expanded > book R FOR SAS AND SPSS USERS ( > https://science.nature.nps.gov/im/datamgmt/statistics/R/documents/R_for_SAS_SPSS_users.pdf > ) useful. > > It is very easy to create the data set you want. You just need to think in > R's somewhat twisted way. Well if twisted my mind for the first 6 weeks that > I used it. > > Let's say you are doing some analysis. Don't send the data to the console. > Instead save it in a R object (not sure if this is the correct term--I am > sure the purists will correct me.) > > > I am going to create a data.frame called dat1 (pretend it is your data). > > > #create make-believe data > dat1 <- data.frame(matrix( rnorm(100), ncol = 5)) > > #Save dat1 as an R file. Handy for your work not great as a way > #to pass around data unless the client knows R and has R installed > > save( dat1, file = "~/Rjunk/ mydata.RData") > > #Save as a .csv file. Fast easy and can be opened in any > #text editor, spreadsheet or even a word processor. > > write.csv(dat1, file = "~/Rjunk/ mydata.csv") > > > > To produce a Latex file and get a pdf. > > One starts with a .Rnw (i.e. plain text with a .Rnw suffix) file and then > compiles it. > I used the command Rscript -e "library(knitr); knit('./Shiv1.Rnw')" where > Shiv.Rnw was my LaTeX / knitr file. It is easier and faster to use RStudio > for this. > > You will probably need to install the xtable package and depending in your > LaTeX version you may need to install booktabs. > > ########Start Latex file################### > \documentclass[12pt,letterpaper]{article} > \usepackage[utf8]{inputenc} > \usepackage{booktabs} > \title{Magnum Opus Meum} > \author{jrkrideau } > \begin{document} > > \maketitle > > <<atable, echo=FALSE, results="asis">>= > library(xtable) > dat1 <- data.frame(matrix( rnorm(100), ncol = 5)) > dat1.table <- xtable(dat1) > print(dat1.table, > include.rownames=FALSE, > booktabs = TRUE) > @ > > \end{document} > > ########End Latex file#################### > > John Kane > Kingston ON Canada > > >> -----Original Message----- >> From: shivibha...@ymail.com >> Sent: Fri, 21 Aug 2015 12:26:50 -0700 (PDT) >> To: r-help@r-project.org >> Subject: Re: [R] Output In R >> >> Thanks Jeff, this is helpful. >> The reason i am curious to know this is because I have worked for a long >> duration in SAS where in it gives us the flexibility to create a data set >> of >> our analysis and then we can easily detail out the same to the end user. >> >> In R seems like View or Sweave or Shiny are the alternative. >> >> >> >> >> -- >> View this message in context: >> http://r.789695.n4.nabble.com/Output-In-R-tp4711227p4711368.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> 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. > > ____________________________________________________________ > FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks & orcas on your > desktop! > > ______________________________________________ > 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.
