similar to: error in color-labeling in plot.lm

Dear all, the application of the function rstandard() in the base package to a glm object does not produce residuals standardized to have variance one: the reason is that the deviance residuals are divided by the dispersion estimate and not by the square root of the estimate for the dispersion. Should the function not be changed to produce residuals with a variance about 1? R 1.8.1 on

the function confint uses the profiling method of the function of the package MASS confint.glm even after the package has been detached! 1: might this be the intenden behavior? 2. How does the function remember its 'MASS' functionality after detaching the package? R: 1.8.0; Windows 2000 Here is a sample program > set.seed(7882) > x<-rep(c(0,1),c(20,20)) >

I fit a proportional odds model with the polr-function of the MASS package from Venables and Ripley Applying the confint method to calculate confidence intervals for the parameters I get the following error message Waiting for profiling to be done... Re-fitting to get Hessian Error in X[, -i, drop = FALSE] : incorrect number of dimensions Can someone explain the error-message? (The

Using a factor with 'number' levels the straightforward symbolic formulation of a contrast in 'glht' of the 'multcomp' package fails. How can this problem be resolved without having to redefine the factor levels? Example: #A is a factor with 'number' levels #B similar factor with 'letter' levels dat<-data.frame(y=1:4,A=factor(c(1,1,2,2)),

fixed @ R-forge. New version should appear on CRAN soon. Thanks for the report! Torsten > > ---------- Forwarded message ---------- > Date: Sat, 3 Sep 2011 23:56:35 +0200 > From: Ulrich Halekoh <Ulrich.Halekoh at agrsci.dk> > To: "r-help at r-project.org" <r-help at r-project.org> > Subject: [R] glht (multcomp): NA's for confidence intervals using

Dear all, I was trying to see how the function 'confint' is defined. Doing > confint function (object, parm, level = 0.95, ...) UseMethod("confint") <environment: namespace:stats> does not really enlighten me. How can I get to see the implementation (I guess it should be possible according to the general philosophy of the R project)? Thanks in advance S??ren

Hej, Calculation of confidence intervals for means based on a model fitted with lmer using the package multcomp - yields results for calpha=adjusted_calpha - NA's for calpha=univariate_calpha Example: library(lme4) library(multcomp) ### Generate data set.seed(8) d<-expand.grid(treat=1:2,block=1:3) e<-rnorm(3) names(e)<-1:3 d$y<-rnorm(nrow(d)) + e[d$block]

Dear all, In S+, there are functions like create.ole.object call.ole.method release.ole.object for communicating with other programs which work as a COM server (on Windows). Is it possible to do something similar in R (I've studied the 'connections' facilities, but they do not seem to work). ========================================== S?ren H?jsgaard, PhD, Senior Scientist

I am trying to build a package binary, and get the message below. Can anyone point me to a solution to that problem. Thanks in advance S?ren .... installing data files installing man source files installing indices Error in load(zfile, envir = envir) : input has been corrupted, with LF replaced by CR Execution halted make[2]: *** [indices] Error 1 make[1]: *** [all] Error 2

Well, one way to do it is xyplot(y~time|id, data=dat,type='l', panel=function(x,y,subscripts,...){ panel.xyplot(x,y,subscripts,...) panel.abline(v=dat[subscripts,"cm1"]) panel.abline(v=dat[subscripts,"cm2"]) } ) Since I don't know what the dataframe 'mergeData' is I have used 'dat'. Best regards Frede Aakmann

Dear all, I would like to know how can I retrieve a data.frame without the columns that have a partial match name. Let´s say that I have a data.frame with 200 columns and 100 of them have the name "StartX", with X being the unique part for each column name. I want to delete all columns that have the name starting with "Start". I´ve tried to do this but it doesn´t work: >

Dear all, I would like to know how can I create a binned column in a data.frame. The output that I would like is something like this: Start Binned_Start 1 0-5 2 0-5 6 5-10 8 5-10 13 10-15 ... Best regards João Fadista Ph.d. student UNIVERSITY OF AARHUS Faculty of Agricultural Sciences Dept. of Genetics and Biotechnology Blichers

Hello, I am trying to run "RCMD check" on a package. It performs OK, with the exception of a single warning: * checking package vignettes in 'inst/doc' ... WARNING Package vignette(s) without corresponding PDF: AnnotationFuncsUserguide.Rnw As I understand the problem, the vignette is not built. However, I have no problems in doing so manually. How do I fix this problem? I

Dear all, I would like to know how can I concatenate 2 data.frames into a single one. Both data frames have the same number of columns and the same class type in each correspondent column. So what I want is to have a new data.frame where I have first the values from one data.frame and then the values from a second data.frame would came after in this new data.frame. Thanks in advance. Med

Dear all, Can I do a permutation test if the number of individuals in one group is much bigger than in the other group? I searched the literature but I didin´t find any assumption that refers to this subject for permutation tests. Best regards João Fadista Ph.d. student UNIVERSITY OF AARHUS Faculty of Agricultural Sciences Dept. of Genetics and Biotechnology Blichers Allé 20, P.O.

Dear all, I would like to know if I can compare by a significance test 2 models with different kind of parameters. Perhaps I am wrong but I think that we can only compare 2 models if one is a sub model of the other. Med venlig hilsen / Regards João Fadista Ph.d. studerende / Ph.d. student AARHUS UNIVERSITET / UNIVERSITY OF AARHUS Det Jordbrugsvidenskabelige Fakultet / Faculty of

Dear all, I would like to know if there is any R package that uses a sliding window approach to assess statistical significance out of my data. My data is composed of DNA sequences (of variable length) that are mapped to a genome with a determined score of alignment. So, I want to see if I can find more tags in a given region of the genome as opposed to finding them by chance. In this sliding

Dear all, I have the positions of N points spread through some sequence of length L (L>N), and I would like to know how can do the following: 1- Permute the positions of the N points along the whole sequence. Assuming a uniform distribution I did: position1 <- runif(N, 1, L) 2- Apply a kernel convolution method to the resulting permuted points profile. For this I applied the

Dear all, I would like to know how can I test which are the intervals of my data that have significant less or more counts than the other intervals. Example: Interval [1:200] [200:400] [400:600] [600:800] ... more 900 hundred columns Count 12 28 7 5 Thanks in advance, Best regards João Fadista Ph.d.

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