similar to: Effect display of proportional odds model

Dear R-users, Is there a way to get p-values for a one-sided hypothesis test about a poisson mean? Thanks, Jan Wijffels University Center for Statistics W. de Croylaan 54 3001 Heverlee Belgium tel: +32 (0)16 322784 fax: +32 (0)16 322831 <http://www.kuleuven.be/ucs> http://www.kuleuven.be/ucs Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm [[alternative HTML version

Dear R-users, I tried to install the R(D)COM server version 1.35, to connect MS Excel and R. I am using R-version 2.1.0 on a Windows environment. And I am using MS Excel 2000 in a dutch version. I get the following error when I open Excel: "Compile error, can not find the project or the library" (translated from dutch). And it indicates LEFT in blue bold. Does anyone of you know what

Dear R-users, I would like to use the package flexmix to fit latent classes to a regression model. My data are repeated measurements of bernouilli variables so I can use the binomial family link to the glm function. The design is not balanced, meaning that for some individuals in my data set I have 10 measurements or more, for others I only have 5 or even less. My question is the following. Can

Dear R-users, Does anyone of you have binary files for the packages rpart.permutation, snow and rsprng. I would like to use them in my classification tree. I know they are still at the 0.x development stage, though. Where can I get information on how to compile tar.gz files? I'm using windows XP with R 2.1.0. Thanks, Jan --------------------------------------------------------------------

Hi, I'm sorry for this not being related to R but I think this is a good place to ask. I'm looking for DOE examples(experiments) that can be done at home or in class, such as Paper Helicopter, Paper Towel etc.. I'm thankful for any comment. Thomas [[alternative HTML version deleted]]

Hi! I'm trying to do some ploytomous logistic regression using multinom() in the nnet package, but am a bit confused about interpretation of the results Is it possible to get the following quantities: I: maximum likelihood estimates to test for fit of model and significance of each predictor (I would like to produce a table of the following type) Analysis of Variance: MLE (values are

Dear all, As a newbie in R I would like to do the following (simple?) thing: to plot a filled.contour plot over a map showing country boundaries (e.g. for Europe) What i do is: map('worldHires',xlim=c(-10,40),ylim=c(35,70),boundary = TRUE,border=0.1) map.axes() filled.contour(mslp, zlim=c(1000,1020),color.palette = colorRampPalette(c("blue", "white",

Using SUSE Linux, Windows 32 bit and Windows 64 bit R 3.0.2 , I am unable to use R CMD check successfully. Here is the Windows 64 bit report: Z:\R\source\effects>R CMD check pkg * using log directory 'Z:/R/source/effects/pkg.Rcheck' * using R version 3.0.2 (2013-09-25) * using platform: x86_64-w64-mingw32 (64-bit) * using session charset: ISO8859-1 * checking for file

Hello, I just managed to compile openssh-3.6.1p1 on Ultrix/MIPS. One of the fixes needed for this is the following. It's because of: --- According to the Changelog - markus at cvs.openbsd.org 2002/12/10 19:26:50 [packet.c] move tos handling to packet_set_tos; ok provos/henning/deraadt --- This IP_TOS is now nicely stuffed in a function, but that function should be #defined

Dear helpeRs, I would like to specify a newline command in R and pass it to latex via Sweave such that it corresponds to latex' \\ command. But that doesn't seem to be possible. If I Sweave the \n character, it just makes a new line in latex but not the \\ command. Is there a way such that the following code would result in latex in blablabla \\ blablabla on different line

R-experts: I would like to explore the partial proportional odds models of Peterson and Harrell (Applied Statistics 1990, 39(2): 205-217) for a dataset that I am analyzing. I have not been able to locate a R package that implements these models. Is anyone aware of existing R functions, packages, etc... that might be used to implement the partial proportional odds models? Brant Inman

Hi. I am a newbie to R. I need to do a courses projects with some manipulation lots of data record and some back-and-forth linear regression. I do not want to spend $100 for a SAS lincence, which professor used. So I decide to start to learn R to finish it. I am using R in Windows. I feel it is somehow works like mathemica. I try to write the work into a little program for future reference.

I tried to use the effect() to get predicted marginals for multinomial logistic as I did for general logistic regression, but failed. Is there anyway to do that? Thx! -- View this message in context: http://www.nabble.com/How-to-get-predicted-marginal-%28aka-predicted-mean%29-after-multinomial-logistic--tp17200114p17200114.html Sent from the R help mailing list archive at Nabble.com.

Dear list members, I am estimating an ordinal generalized estimating equations (GEE) regression model on repeated measurements data. Is there any way (preferably in R) to test the proportional odds assumption of this model? Thanks in advance. Andreas [[alternative HTML version deleted]]

Dear, I have problems with installing R-1.7.1 for Redhat 9. When I applied `./configure' and `make', I get the following error: make check make[1]: Entering directory `/volume1/scratch/jallemee/R-1.7.1/tests' make[2]: Entering directory `/volume1/scratch/jallemee/R-1.7.1/tests' make[3]: Entering directory `/volume1/scratch/jallemee/R-1.7.1/tests/Examples' make[4]: Entering

Hi Since the 'equal slope' assumption doesn't hold in my data I cannot use a proportional odds model ('Design' library, together with 'Hmisc'). I would like to try therefore a partial proportional odds model Please, could anybody tell me, where to find the code and how to specify such a model ..or any potential alternatives many thanks for your kind help christoph

For the following model, library(vcd) arth.polr <- polr(Improved ~ Sex + Treatment + Age, data=Arthritis) summary(arth.polr) where Improved is an ordered, 3-level response I'm looking for a *simple* way to test the validity of the proportional odds assumption, typically done via a score test for equal slopes/effects over the predictors. I do find a po.test= option in the repolr package

I want to test whether the proportional odds assumption for an ordered regression is met. The UCLA website points out that there is no mathematical way to test the proportional odds assumption (http://www.ats.ucla.edu/stat//R/dae/ologit.htm), and use graphical inspection ("We were unable to locate a facility in R to perform any of the tests commonly used to test the parallel slopes

I have a data set w/ an ordinal response taking on one of 10 categories. I am considering using polr to fit a cumulative logits model. I previously fit the model in SAS (using proc logistic) which provides a test for the proportional odds assumption (p < 0.001 for the test). Are there simple diagnostic plots that can be used to look at the validity of this assumption and possibly help w/

Dear, I tried to install the DBI package in R-1.7.1, but this gave the following error: /volume1/scratch/jallemee/R/lib/R/bin/INSTALL: line 1: 1856 Done ( echo "options(save.image.defaults=${save_image_defaults})"; if test -s R_PROFILE.R; then cat R_PROFILE.R; fi; echo