similar to: R to LaTeX Univariate Analysis

Hi the list *** New package *** R to LaTeX : Univariate analyses r2lUniv *URL:*http://www.r-project.org, http://christophe.genolini.free.fr/r2lUniv *** Description *** r2lUniv performs some basic analyses, then generates a code to be included in a LaTeX document to print the analyses in a (so nice!) LaTeX way. r2lUniv performs the analyses automatically according to the classical statistics

Hi the list *** New package *** R to LaTeX : Univariate analyses r2lUniv *URL:*http://www.r-project.org, http://christophe.genolini.free.fr/r2lUniv *** Description *** r2lUniv performs some basic analyses, then generates a code to be included in a LaTeX document to print the analyses in a (so nice!) LaTeX way. r2lUniv performs the analyses automatically according to the classical statistics

Hi all, In the package rtlu, I use the function savePlot. It is convenient since it let the user decide in which graphic format he wants his graph to be export. But when I run R CMD check, I get the following message : > rtlu(V1,fileOutput="First.tex",textBefore="\\section{Variable 1 to 3}",graphName="V1") Error in savePlot(filename = nomBarplot, type = type)

Dear list, I want to run latex from an R script: system("latex mysource.tex") or: texi2dvi("mysource.tex", pdf = TRUE, clean = FALSE, quiet = TRUE, texi2dvi = latex) but latex does not seem to be on the search path: /bin/sh: line 1: latex: command not found. Although 'printenv PATH' tells me that the usr/texbin is looked for executables:

Dear useRs, When I'm using Hmisc's latex() function with ctable=TRUE on a summary.formula with method="reverse" object and saving in a .tex file, the latter contains an unwanted empty line which makes compilation fail. Here is a brief example : library(Hmisc) test <- data.frame(a=sample(1:30,10),b=sample(c("good","bad","ugly"),10,replace=T))

Dear all, I did post this more or less identical mail in a follow up to another question I posted, but under another heading. I try again, but now under the correct header. upon running this code (from the Hmisc library-latex function) I believe the call to summary.formula is allright and produces wonderful tables, but the latex command results in a correct formatted table but where all the

I have also been eager to test bbouncer The latest source passes with flying colours! but make check finds some problems with xattrs if not run by sudo I have xattr in /usr/local/bin/ from the source found at: http://dev.bignerdranch.com/public/bnr/eXttra.zip What I did: cd /usr/local/Source rsync -av --exclude=.git/ rsync://rsync.samba.org/ftp/unpacked/rsync . rsync -av --exclude=.git/

Hi Kynn, Thanks for expanding. I wrote a function like yours when I first started using R. It's basically the same up to your "new.env()" line, I don't do anything with environmentns. I just called my function "mysource" and it's essentially a "source with path". That allows me to find code I reuse in standard locations. I don't know why R does not

Hi the list, I am a member of the organizing comity of the French Statistics Association (SFdS)'s conference. We are looking for sponsors. Some software (SAS, RITME, ...) are represented. Do you know if there is any possibility to be sponsored by R (or by an association close to R)? Do you think I can ask to the R fondation? Sincerely Christophe -- Christophe Genolini Maître de

Hello everybody, i've made a little script that associates every extension known by linux in wine, unless the extension isn't already associated to some other program. So you can doubleclick on a file from winefile and have it opened with the corresponding linux application. It's a quick and dirty script that generates a .reg file, it isn't freedesktop compliant, i am a KDE and

Currently any api which takes a FileIn or FileOut parameter is implicitly cancellable. This change make cancellable an explicit flag in anticipation of it being added to other apis. --- generator/generator_actions.ml | 53 ++++++++++++++++++++++++++------------- generator/generator_checks.ml | 3 +- generator/generator_types.ml | 1 + 3 files changed, 38 insertions(+), 19 deletions(-)

Hi, Before I comment on the graphics you posted to visualize the difference between two audio signals, I'd like to ask for your help in evaluating my JPEG encoder. I've encoded an image with JPEG and then computed the difference with the original. I then converted the difference to sound. You can listen to the image difference on this clip: https://jmvalin.ca/misc_stuff/diff.wav Can you

Greetings R users, My goal is to generate quartile groups of each variable in my data set. I would like each experiment to have its designated group added as a subsequent column. I can accomplish this individually with the following code: brks <- with(data_variables, cut2(var2, g=4)) #I don't want the actual numbers, I need a numbered group data$test1=factor(brks,

Good morning. I've ran a test against MP3 format. Code: (first convert tested audio file to 16 bit 48khz with sox.exe if needed) lame.exe -b 320 48khzfilein.wav -o fileout.mp3 lame --decode fileout.mp3 -o fileout.mp3.wav opusenc.exe --bitrate 320 48khzfilein.wav fileout.opus opusdec.exe fileout.opus fileout.opus.wav wavdiff.exe 48khzfilein.wav fileout.mp3.wav -diff fileout.mp3.delta.wav

Just to be clear, my goal here wasn't to make fun of anyone, but to drive the point that spectrograms should *never* be used to demonstrate quality. The only case where they can sometimes be useful is for diagnostic purposes. If you hear something and you're not sure what you're hearing exactly, then sometimes a spectrogram can help you figure out what it is. That's pretty much it.

Hi R-masters I read the article: Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. In this paper i proposed a bivariate mixed model and use SAS proc mixed to adjust the estimates. I thinks use R to make the same and try with this code: base<-read.csv("base.csv") adj<-.5 attach(base) sens<-(VP+adj)/(VP+FN+2*adj)

Hello all, I was eager to test the fresh release with MacOS X using "bbouncer" This is how I compiled and run the tests: patch -p1 <patches/osx-create-time.diff patch -p1 <patches/fileflags.diff ./prepare-source patch -p1 <patches/backup-dir-dels.diff ./configure make make test sudo make install Then compiling and running "bbouncer" from

I have data that looks like lake,loglength,logweight 1,2.369215857,1.929418926 1,2.426511261,2.230448921 1,2.434568904,2.298853076 1,2.437750563,2.298853076 1,2.442479769,2.230448921 1,2.445604203,2.356025857 ... 102,2.722633923,3.310268367 102,2.781755375,3.502153893 102,2.836324116,3.683407299 102,2.802773725,3.583312152 102,2.790285164,3.546419267 102,2.806179974,3.599118565

Full_Name: Christophe Genolini Version: 2.8.1, but also 2.9 OS: Windows XP Submission from: (NULL) (82.225.59.146) I am using matplot with the option lend="butt", but only the first line (the black) is printed correctly : > matplot(matrix(1:9,3),type="c",lwd=10,lty=1,lend="butt") Gabor Grothendieck find the problem in matplot code: the ... is passed to plot

Hey, Does anyone know of a package in R that provides univariate kernel density estimation with boundary correction ? or how to easily extend an existing bivariate kernel density estimation function (e.g. lambdahat in the spatialkernel package) with boundary corrections to allow univariate density estimation? Thanks a lot, Steve B. -- View this message in context: