Have a look at the knitr package. http://yihui.name/knitr/demo/minimal/
Best regards, ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium + 32 2 525 02 51 + 32 54 43 61 85 thierry.onkel...@inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey -----Oorspronkelijk bericht----- Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens Pavneet Arora Verzonden: woensdag 23 april 2014 11:14 Aan: Jeff Newmiller CC: r-help@r-project.org Onderwerp: Re: [R] Fw: Save multiple plots as pdf or jpeg Sorry I should have been more clearer. Let me repharse. At the moment I have a loop that plots a histogram of the variable, along with rug and super-imposed normal curve over it. It does that for a lot of variables in the dataset and then compiles them into a pdf. Whereby each page on the pdf corresponds to the histogram of 1 variable. However, it takes ages to load and takes up a lot of memory. So I was wondering if there is a way that before it gets compiled into a pdf, if I can convert my graphs into png or bitmaps images and then compile them into pdf? This is my code so far: pdf(file="C:/#temp/Histo and2.pdf") ##- Saves all plots in the same pdf file for(k in 1:ncol(nums2)){ hist(nums2[,k],freq=F,col="lightblue1", #density=20 ##- Density -> Gives shaded bars main=names(nums2)[k],col.main="blue",cex.main=0.8,font=2, xlab=names(nums2)[k]) ##- Font=2 => bold #rug(jitter(nums2[,k]),side=1,col="antiquewhite3") lines(density(nums2[,k],na.rm=T),col="navy",lwd=2) ##- Density Function of data curve(dnorm(x,mean=mean(nums2[,k],na.rm=T),sd=sd(nums2[,k],na.rm=T)), col="brown",lwd=3,add=T) # readline(prompt="Press [enter] to continue") } dev.off() Hope this is much clearer? From: Jeff Newmiller <jdnew...@dcn.davis.ca.us> To: Pavneet Arora/UK/RoyalSun@RoyalSun, r-help@r-project.org Date: 22/04/2014 16:09 Subject: Re: [R] Fw: Save multiple plots as pdf or jpeg Sounds like you are getting what you want... except that you used the word "but". If you are not getting what you want, then what is it that you do want? In particular, how do you intend to review or use many plots generated at once if not in a PDF file? --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity. On April 22, 2014 6:59:55 AM PDT, starter <pavneet.ar...@uk.rsagroup.com> wrote: >That is what I was trying to achieve; i.e. plot all my graphs using a >loop >function. But somewhere in the loop it converts each graph into png or >bitmap image and then compiles all these png or bitmap images in a pdf >file. >So each page in a pdf file is a bitmap or png picture of my graph. > >Does that make any sense? > > > >-- >View this message in context: > http://r.789695.n4.nabble.com/Fw-Save-multiple-plots-as-pdf-or-jpeg-tp4688801p4689256.html >Sent from the R help mailing list archive at Nabble.com. > >______________________________________________ >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. ______________________________________________________________________________________________ The following message has been automatically added to comply with the RSA Group IT Security requirements: This email arrived via the internet, over a secure Opportunistic TLS encryption connection. 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