similar to: R CMD build error

Dear Sir/Madam, I have two vectors say x<-c(0,0,2.73,3.42,3.95,4.26) and y<-c(0.0,0.5,1.20,1.90,2.6,3.3). I want to fit y as a function of x and get the equation.Do I have to use glm() ? Rangesh [[alternative HTML version deleted]]

I am new to R,so excuse me if its too basic. I have a vector of scores S= {s1,s2,s3,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sn} n could be very large. I want to find p-value for each score and I have the formula pvalue= 1-exp(-exp(S)) so any ideas how to get this new vector P={p1,p2,p3,p4,p5....pn} thankyou in advance Rangesh

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, rgev function gives me random deviates and I have a data set which I am fitting to an EVD,IS there a way I can plot both observed and ideal evd on the same plot thankyou Rangesh

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

Merry Xmas to all, I am writing a function and curiously this runs sometimes on one data set and fails on another and i cannot figure out why. Any help much appreciated. If i run the code below with data <- iris[ ,1:4] The code runs fine, but if i run on a large dataset i get the following error (showing data structures as matrix is large) > str(cluster.data) num [1:9985, 1:811] 0 0 0 0

Difficulty handling NA's: Assume that I have a numeric vector y. For simplicity, assume that it has 10 elements. Assume that the third element has the value NA. I give it the following: NA_test <- function (){ y <- numeric (10) y [3] <- NA if (y [3] != NA){(print ("no")} print ("Leaving NA_test") return () }# End of function

Does R have the capability to perform tests for the need of clustering analysis (e.g., in prabclus)? I am using panel data with two-way fixed effects but am unsure about whether I should be using a cluster option as well to estimate my model.-- View this message in context: http://r.789695.n4.nabble.com/Tests-for-the-need-of-cluster-analysis-tp3488097p3488097.html Sent from the R help mailing

Dear R users, I'm interested in measuring the stability of a heirarchical clustering, of the overall clustering and finding sub clusters (from cutting the heirarchical clustering at different levels) which demonstrate stability. I saw some postings on the R help from a while back about bootstrapping for clustering (using sample and generating a consesus tree with a web based tool CONSENSE)

Hi, I had a logit regression, but don't really know how to handle the "Warning message: non-integer #successes in a binomial glm! in: eval(expr, envir, enclos)" problem. I had the same logit regression without weights and it worked out without the warning, but I figured it makes more sense to add the weights. The weights sum up to one. Could anyone give me some hint? Thanks a lot!

Dear list, (also sent to Roger Bivand, but perhaps somebody of you can help me also) I am trying to use package spdep for fitting an SAR model with errorsarlm. However, I am not sure how to make a valid nb object out of my neighborhood. As far as I have seen, there is no documentation for nb.object. I have done the following: class(pschmid$nb) <- "nb" # pschmid is a prab object as

I got the following warning messages when I did a binomial logit regression using glm(): Warning messages: 1: Algorithm did not converge in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, 2: fitted probabilities numerically 0 or 1 occurred in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, Can some one share your thoughts on how to

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

I am currently writing a search method for my rails applications and at the moment it works fine. I have the following in my game.rb: def self.search(search) if search find(:all, :conditions => [''game_name LIKE ? OR genre LIKE ? OR console LIKE ?'', "%#{search}%", "#{search}", "#{search}"]) else find(:all) end end No that searches

Hi I have a large dataset, containing a wide range of binary variables. I would like first of all to compute a jaccard matrix, then do a PCA on this matrix, so that I finally can do a hierarchical clustering on the principal components. My problem is, that I don't know how to compute the jaccard dissimilarity matrix in R? Which package to use, and so on... Can anybody help me? Alternatively

Good afternoon! I would like to ask you about similarity measures and clustering in R for Binary data. Would you please kindly help me and let me know about that commands in R? Thanks in advance for your kind attentions. I look forward to hearing from you as soon as possible. Best regards, Sima

For the analysis of financial data wih a large variance, what is the best way to select an outlier threshold? Listed below, is there a best method to select an outlier threshold and how does R calculate it? In R, how do you find the outlier threshold through an interquartile range? In R, how do you find the outlier threshold using the hist command? In R, how do you find the outlier threshold

Dear Listers, I emailed the list a few days ago about how to bootstrap a community matrix (species by sites) and get a consensus tree with node support. A friend pointed out that a similar question remained unanswered in 2004. I wish to re-word my question: is anyone aware of a package / method to obtain a majority-rule consensus tree from x distance matrices ? Is anyone using R to generate

In sshconnect.c there are two global variables for server_version_string client_version_string. These are used just in a few functions and can easily be passed as parameters. Also, there is a strange construct, where their memory is allocated to the global pointers, then copies of these pointers are assigned to the kex structure. The kex_free finally frees them via cleanup of the kex

Hi All, I have been told to post discussion based topic on here instead of the GitHub Issues. I thought this ''could'' be a bug, but just need some clarification really. The issue I posted is here <https://github.com/rails/rails/issues/12597>, does anyone have any thoughts? Again: https://github.com/rails/rails/issues/12597 Thanks a lot. -- You received this message