similar to: Typo in documentation for reshape?

In fact my first vignette full stop. I am intending to use Sweave. I have read the Sweave documentation and section 1.4 of the extensions manual and apart from (a) do not use split = TRUE (b) and include all the source components, there does not seem to be anything CRAN specific. 1 - Am I missing some other documentation? 2 - If I use a package from CTAN would that be considered within the

Hi all, The problem is that when you try to use the function summary of a polr object in a function, it does not work. The problem is not related to the formula or the structure of data involved. It is probably related to the use of the function "vcov" in the code of summary for polr, and the iterative procedure to estimate the Hessian. Anyway, here there is an example extracted from

There are occasional comments on this list about how difficult it is to read the digest format. Since it took me a few false starts to configure my mailer to do it I have (with the encouragement of the list owner) put together a few hints. All I need now is for people who use other mailers to fill in the details in the same way as I have done for Eudora. The draft is available at

If I am buying a PC where the most compute intensive task will be running R and I do not have unlimited resources what trade-offs should I make? Specifically should I go for 1 - more memory, or 2 - faster processor, or 3 - something else? If it makes a difference I shall be running Windows on it and I am thinking about getting a portable which I understand makes upgrading more difficult. Extra

Something about the way R processes backslashes is defeating me. Perhaps this is because I have only just started using R for text processing. I would like to change occurrences of the ampersand & into ampersand preceded by a backslash. > temp <- "R & D" > sub("&", "\&", temp) [1] "R & D" > sub("&",

I have been successfully been using R on my EEE PC for some while now. Although it uses Xandros I have been able to install various pieces of software by pretending that it was Debian etch. Johannes was kind enough to continue providing binaries on CRAN for a while but I think I am the only person still living in the past as CRAN etch is currently stuck at 2.11.0 and I cannot rely on him to

Short version If I have a data frame X and I suspect that there is a dependency between the columns how do I confirm that, and how do I tell which subset of columns is involved? ================================== Long version A colleague had been trying to use the SPSS RELIABILITY procedure. It told her that the determinant of the matrix was small. She asked me what that meant and I told her

I have a series of question about methods and generics. The questions are interspersed in some text which explains what I want to do, how it works now and why I do not understand well why it works. Questions are written Q1 and so on up to Q9 and always start a new line. The concrete problem is this: it has become customary after a meta-analysis to quote various statistics to give a picture of the

From R 2.9.0 we have the concept of versions for Rd files. The manual is clear about the differences but I am unsure as to what I should do about my existing packages. Is it recommended that I set the version to 1.1 and then fix the errors R CMD check helpfully points out and then subsequently do the same for later versions (the manual mentions version 2 is coming)? What benefit will I gain?

When I run R CMD check on a package I have recently started work on I get the following: * checking R code for possible problems ... NOTE addlinear: no visible binding for global variable 'x' I appreciate that this is only a NOTE and so I assume is R's equivalent of 'This is perfectly legal but I wonder whether it is really what you intended' but I would like to understand

The outcome variable in my dataset is cost. I prefer not to transform it as readers will really be interested in pounds, not log(pounds) or sqrt(pounds). I have fitted my model using lme and now wish to use boot on it. I have therefore plagiarised the example in the article in RNews 2/3 December 2002 after loading the dataset I source this file

The concrete problem is that I am refereeing a paper where a confidence interval is presented for the risk ratio and I do not find it credible. I show below my attempts to do this in R. The example is slightly changed from the authors'. I can obtain a confidence interval for the odds ratio from fisher.test of course === fisher.test example === > outcome <- matrix(c(500, 0, 500, 8),

I have recently acquired an Asus EEE PC which runs a version of Xandros which I believe to be a fork of Debian. I have been using R under various versions of Windows for some years but this is my first move into the world of Unix. I have installed Texlive from a CD and I have successfully added a UK-based repository and installed Texmaker. Now I would like to add R. There are dire warnings on

Hello, Dr. Viechtbauer. I am trying to perform a meta-analyis on a group of before-after studies using Metafor. I read your webpage including your correspondence with Dr. Dewey (https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), who also conducted a similar study. These information is very hepful, but I have one additonal question which I wonder if you can give me some instruction.

Dear R User, Please, I am new to R. I want to overlay density plot for predictive interval pooled result in meta-analysis. http://addictedtor.free.fr/graphiques/graphcode.php?graph=114 Regards Frank Peter

I get the following error when I try reading in a table. How are 1.1, 1.2, 1.3 duplicate row names? Thx. > table <- read.table('latestWithNumber.txt', header=T) Error in "row.names<-.data.frame"(`*tmp*`, value = c("1.1", "1.2", "1.3", : duplicate 'row.names' are not allowed Yongchuan

Hi all, I have a problem to estimate Std. Error and t-value by ?polr? in library Mass. They result from the summary of a polr object. I can obtain them working in the R environment with the following statements: temp <- polr(formula = formula1, data = data1) coeff <- summary(temp), but when the above statements are enclosed in a function, summary reports the following error:

Hi all, rmvnorm()can be used to generate the random numbers from a multivariate normal distribution with specified means and covariance matrix, but i want to specify the correlation matrix instead of covariance matrix for the multivariate normal distribution. Does anybody know how to generate the random numbers from a multivariate normal distribution with specified correlation matrix? What about

Hi, Anybody know what are the common Standard statistical methods used for the analysis of a dataset,and anybody know which of these methods give similar results Ram [[alternative HTML version deleted]]

Hello! I have some data stored into 2 separate csv file. 1 file (called A.csv) (12 results named Group1, Group2, Group3, etc...) odds ratios, 2 file (called B.csv) 12 corresponded errors. How to import that data into R and make forest plot like I saw inside help file Rmeta and meta with included different font colors and names trough X and Y axis. I know for meta libb ... out <-