similar to: R CMD check error

Hi list, is there any direct way to obtain confidence intervals for the regression slope from lm, predict.lm or the like? (If not, is there any reason? This is also missing in some other statistics softwares, and I thought this would be quite a standard application.) I know that it's easy to implement but it's for explanation to people who faint if they have to do their own programming...

Dear listers, I just run R CMD check on an update of one of my packages. All seems fine but after having gone through all the Rd-file and example checking and so on, I get the following kind of errors: LaTeX errors when creating PDF version. This typically indicates Rd problems. LaTeX errors found: ! Font T1/ptm/m/n/10=ptmr8t at 10.0pt not loadable: Metric (TFM) file not found . <to be read

Hi there, is there any R-function for k-nearest neighbour agglomerative hierarchical clustering? By this I mean standard agglomerative hierarchical clustering as in hclust or agnes, but with the k-nearest neighbour distance between clusters used on the higher levels where there are at least k>1 distances between two clusters (single linkage is 1-nearest neighbour clustering)? Best regards,

Hi there, I just tried to install the package prabclus on a computer running Ubuntu Linux 9.04 using install.packages from within R. This gave me a message: Warning message: In install.packages("prabclus") : package ?prabclus? is not available I tried to do this selecting two different CRAN mirrors (same result) and with other packages (installing them works fine). Looking up the

Hi there, it seems that if I update R, it doesn't find previously installed packages anymore and is also not found by ESS. Actually the update has been done by our system administrator who assumed that there would be no problems with these things (I don't have root access to this system) and will perhaps not be too keen on installing everything else again. Is there any simple way how

Dear list, I came across the following error for three of my newly written Rd-files: non-ASCII input and no declared encoding I can't make sense of this. Below I copied in one of the three files. Can anybody please tell me what's wrong with it? Thank you, Christian \name{tetragonula} \alias{tetragonula} \alias{tetragonula.coord} \docType{data} % \non_function{} \title{Microsatellite

Dear list, I just tried to use the function cluster.stat in the package fpc. I just have a couple of questions about the syntax: cluster.stats(d,clustering,alt.clustering=NULL, silhouette=TRUE,G2=FALSE,G3=FALSE) 1) the distance object (d) is an object obtained by the function dist() on my own original matrix? 2) clustering is the clusters vector as result of one of the many clustering methods?

Dear list, I want to update my prabclus package which I haven't done for quite a while. In the previous version, I had .dat files in my data subdirectory, which I read using .R files. Now R CMD check gives me a warning that .dat files are no longer accepted there. So I changed my filenames to .txt, but actually some of these files are only there in order to be read by .R, not in order

Hi everybody, I'd like to know if there's an easy way for extracting outliers record from a dataset, in order to perform further analysis on them. Thanks Alessandro

Hi there, are there any R-packages for computations required in sampling theury (such as confidence intervals under random, stratified, cluster sampling; I'd be partoculary interested in confidence intervals for the population variance, which is difficult enough to find even in books)? Thanks, Christian *** --- *** Christian Hennig University College London, Department of Statistical

Hi list, I'm updating my fpc package at the moment and will add some new functions. I learned that there should be print and summary methods for the key functions. The purpose of the summary methods seems to be to reduce the possibly incredibly complex information in the function's output and the print method (print.summary.foo) should print an overview of the result. But in some

Dear list, order(x,y,z) returns a permutation to order x, ties broken by y, remaining ties broken by z. (And so on.) What I'd like to do is order(X), where X is a matrix (or a list or data frame if necessary) of unspecified size, which orders X[,1], ties broken by X[,2], remaining ties broken by X[,3] and so on - without having to know and to write down how many columns X has. Any

Hi there, any explanation for this? > intToUtf8(66) Error in intToUtf8(66) : argument 'x' must be an integer vector > intToUtf8(c(66,55)) Error in intToUtf8(c(66, 55)) : argument 'x' must be an integer vector > intToUtf8(c(66,55),multiple=TRUE) Error in intToUtf8(c(66, 55)) : argument 'x' must be an integer vector Errr... 66 and c(66,55) are as integer vectorish

Hi, I wanted the DICE coefficient (similarity measure for binary variables) to be calculated in R and found that the "igraph" package has the option of "similarity.dice" to do this. But, for this command, the input object should be an igraph object. But, I have a dataframe of columns containing 1's and 0's. Can I convert this dataframe into an igraph object, so that

Dear list, I did simulations in which I generated 10000 independent Bernoulli(0.5)-sequences of length 100. I estimated p for each sequence and I also estimated the conditional probability that a one is followed by another one (which should be p as well). However, the second probability is significantly smaller than 0.5 (namely about 0.494, see below) and of course smaller than the direct

Hi, I have a dataset which has around 138 variables and 30,000 cases. I am trying to calculate a mahalanobis distance matrix for them and my procedure is like this: Suppose my data is stored in mymatrix > S<-cov(mymatrix) # this is fine > D<-sapply(1:nrow(mymatrix), function(i) mahalanobis(mymatrix, mymatrix[i,], S)) Error in solve.default(cov, ...) : system is computationally

Dear list, I'm writing Rd files and I'd like to have a list inside the description of an argument: (...) \arguments{ (...) \item{bootmethod}{vector of strings, defining the methods used for resampling. Possible methods: \itemize{ \item{"boot"} {Nonparametric bootstrap (precise behaviour is controlled by parameters \code{bscompare} and

Hello all, I am using the clustering functions in R in order to work with large masses of binary time series data, however the clustering functions do not seem able to fit this size of practical problem. Library 'hclust' is good (though it may be sub par for this size of problem, thus doubly poor for this application) in that I do not want to make assumptions about the number of

Dear listers: Here I have a question on clustering methods available in R. I am trying to down-sampling the majority class in a classification problem on an imbalanced dataset. Since I don't want to lose information in the original dataset, I don't want to use naive down-sampling: I think using clustering on the majority class' side to select "representative" samples might

Hi there, two questions. 1) Is there any possibility to look up the help pages within R for more complex combinations of character strings, for example "Bayesian" AND "regression" but not necessarily "Bayesian regression"? 2) Is there a package/command that does fully Bayesian linear regression (if possible with variable selection)? Thanks, Christian *** --- ***