similar to: Sweave and Rnews

Hello list, I would like to know if it is possible to get output of help(foo) with Sweave. If I insert ?foo in a chunk, the console give me the help but no output is obtained in the tex file. Perhaps something to do with options ? Thanks in advance ! -- St??phane DRAY (dray at biomserv.univ-lyon1.fr ) Laboratoire BBE-CNRS-UMR-5558, Univ. C. Bernard - Lyon I 43, Bd du 11 Novembre 1918, 69622

Hello list, I have found a problem (bug?) with Sweave. I hope that someone could help me. Try this little example : \documentclass[a4paper]{article} \title{toto} \author{toto} \begin{document} \maketitle <<ni1, fig=T, eval=TRUE, echo=TRUE, debug=TRUE, results=verbatim, include =FALSE, width=7, height=7>>= a<-rnorm(1)+1 a plot(1:10) @ patati <<ni2, fig=F, eval=TRUE,

Dear package author, We are now accepting submissions for the second issue of the R Newsletter. For more information see http://cran.r-project.org/doc/Rnews/ If you are the author of a package on CRAN and you would like to promote it a little bit, or if you simply have an interesting application using R, we hope you can find some time to write a short article on it. We suggest that it

Hello List, I would like to orthonormalize vectors contained in a matrix X taking into account row weights (matrix diagonal D). ie, I want to obtain Z=XA with t(Z)%*%D%*%Z=diag(1) I can do the Gram-Schmidt orthogonalization with subsequent weighted regressions. I know that in the case of uniform weights, qr can do the trick. I wonder if there is a way to do it in the case of non uniform

Hello list, Sorry, these questions are not directly linked to R. If I consider an indefinte real matrix, I would like to know if the symmetry of the matrix is sufficient to say that their eigenvectors are real ? And what is the conditions to ensure that eigenvectors are real in the case of an asymmetric matrix (if some conditions exist)? Thanks in Advance, St?phane DRAY

Hello list, I have a problem ... and do not know how to solve it. I would like create a function that estimate the quality of the fit of different functions with different values of parameters. This problem is related to the following one: I would like to create a function "evaluatemyfunction" which evaluate a function f for different values of parameters. For instance, if

Hi, I am editing a document for submission to the R-news newsletter, and in my article my Sweave code inserts a dynamically generated PDF report that my R program generates. However, when I insert the PDF using the following Sweave code: \newpage \includegraphics[scale=1.0]{\Sexpr{print(location)}} \newpage (in tex this looks like): \newpage \includegraphics[scale=1.0]{/home/arjun/sample.pdf}

Hello list, I have used scan function to import data into R. I have done some analysis and find strange results. I have found my problem : when importing data with scan, this can slightly modify the data : > write(c(0.251,3.399,-0.481,0.266),"essai.txt") > scan("essai.txt") Read 4 items [1] 0.251 3.399 -0.481 0.266 > print(scan("essai.txt"),17) Read

Hello, suppose I have a list with matrices: a=list(x1=matrix(rnorm(10),5,2),x2=matrix(rnorm(10),5,2),x3=matrix(rnorm(10),5,2)) I want to compute for all combination of xi and xj (x1,x2 x1,x3 and x2,x3) a value. This value is given for the pair x1,x2 by trace(x1%*%t(x1)%*%x2%*%t(x2)) / trace(x1%*%t(x1))*trace(x2%*%t(x2)) I know that product matrices t(xi)%*%xi can be obtained by:

Hello list, I have 3 matrices with same dimension : > veca=matrix(1:25,5,5) > vecb=matrix(letters[1:25],5,5) > vecc=matrix(LETTERS[1:25],5,5) I would like to obtain a new matrix composed by alternating rows of these different matrices (row 1 of mat 1, row 1 of mat 2, row 1 of mat 3, row 2 of mat 1.....) I have found a solution to do it but it is not very pretty and I wonder if I

Hello list, my question is related to svd of a matrix: b=matrix(rnorm(50),10,5) mysvd=svd(b) I would like to compute each xi where xi = di* ui %*% t(vi). I do it by : xlist=sapply(1:ncol(b), function(x1,y) y$d[x1]*y$u[,x1]%*%t(y$v[,x1]),y=mysvd,simplify=F) # result is a list xarray=array(sapply(1:ncol(b), function(x1,y) y$d[x1]*y$u[,x1]%*%t(y$v[,x1]),y=mysvd),c(nrow(b),ncol(b),ncol(b))) #

Hello, I have a question that is not directly related to R ... but I try to do it in R ;-) : I would like to generate a matrix Q satisfying (for a given Z, X and W) the two following conditions: t(Q)%*%Q=Z (1) XQ=W (2) where: Q is m rows and r columns X is p rows and m columns D is p rows and r columns C is r rows and r columns with m>p,r e.g: m=6, p=2 r=3

Dear package author, We are now accepting submissions for the third issue of the R Newsletter. For more information see http://cran.r-project.org/doc/Rnews/ If you are the author of a package on CRAN and you would like to promote it a little bit, or if you simply have an interesting application using R, we hope you can find some time to write a short article on it. We suggest that it be

Dear package author, We are now accepting submissions for the 2002/2 issue of the R Newsletter. For more information see http://cran.r-project.org/doc/Rnews/ If you are the author of a package on CRAN and you would like to promote it a little bit, or if you simply have an interesting application using R, we hope you can find some time to write a short article on it. We suggest that it

Dear package author, We are now accepting submissions for the 2002/3 issue of the R Newsletter. For more information see http://CRAN.R-project.org/doc/Rnews/ If you are the author of a package on CRAN and you would like to promote it a little bit, or if you simply have an interesting application using R, we hope you can find some time to write a short article on it. We suggest that it

Hello list, I have two vectors x and x2: x=runif(10) x2=runif(10) and one vectors with their names : my.names=c("x","x2") I would like to cbind these two vectors using their names contained in the vector my.names. I can create a string with comma ncomma=paste(my.names,collapse=",") and now, I just need a function to transform this string into a adequate

The R Language Definition manual should document comments. I think this should go after section 10.1 "The Parsing Process" and before 10.2 "Tokens". Here's some draft text. @node Comments, Tokens, The parsing process, Parser @comment node-name, next, previous, up @section Comments Comments in R are ignored by the parser. Any text from a \# character to the end of

I created a tex file following the example in the Sweave help which produced the following files in my working directory. Sweave-test-1-006.eps Sweave-test-1-006.pdf Sweave-test-1-007.eps Sweave-test-1-007.pdf Sweave-test-1.tex When I run latex on this, I get a latex error, log file below. I am running R 2.1.1 on Windows XP. I have installed "small MiKTeX" and I have added

Hi list, I was using Sweave and was wondering if anyone has had any luck changing the font colors of the code chunks. For instance, in my .Rnw preample I tried including: === \usepackage[usenames]{colors} \definecolor{darkred}{rgb}{0.545,0,0} \definecolor{midnightblue}{rgb}{0.098,0.098,0.439} \DefineVerbatimEnvironment{Sinput}{Verbatim}{fontshape=sl,formatcom={\color{midnightblue}}}

Hello all, Sometimes I get to make an R code chunk (in Sweave) which is longer then the margins of the page. Is there a way to force it to "go to the next line" (in Sweave) once that happens? Here are two cases this happens in the resulting .tex file (one is a "hard" case, and the other is simpler) \begin{Schunk} \begin{Sinput} >