similar to: FW: Reference category for explanatory factors

I have code and documentation that don't match, but R CMD check didn't flag it. in mspath.R mspath <- function(formula, # formula with observed Markov states ~ observation times (required) qmatrix, # matrix of 1s and 0s with indices of allowed transitions (diagonal is ignored) (required) misc = FALSE, ematrix = NULL, # matrix

Hi R-helpers, I am having a problem understanding how to construct the qmatrix, i have read the help menu for msm but I am still a bit lost. Below is an example of one of my transition matrices: statetable.msm(BEH, ID, data = A1) to from 1 2 3 4 5 23 200 201 203 999 1 86 11 2 20 1 9 3 11 1 22 2 18 4 4 4 0 1 1 1 0 1 3 5 2 0 5 0 0 2 0 0 3

I was wondering if anyone could help me with this one. I am having trouble getting LDAP and samba working properly on my Debian Woody box. I am using OpenLDAP 2.0.27-3 and the unsable packaged Samba version 2.999+3.0 and am using the samba.schema for my LDAP database. Whenever I try to join the network using either W2K or smbclient the LDAP debug log shows that the following filter is being

Dear Sir/Madam, I have only started using a R-written script for modeling the distribution of disease vector species. Part of the script is to make a large GIS grid for use with GIS software, but it seems I have a memory problem. I get the following message: Reached total allocation of 1535Mb: see help(memory.size) My hard disk has more than 100 gigabytes available, I just have to increase the

Hi Livia and everyone, Did you ever get a response on this question from last year (Jan 2008)? I am also looking for more explanatory documentation on the ui and ci parameters for the function constrOptim(). The examples provided in the R help and the full reference manual are not working for me. Goodle and Nabble searches have not resulted in any explanation

It is actually model.matrix that crashes, not glm. Same crash occurs with e.g. lm. model.matrix(dob_mon ~ dob_day*dob_mon, data = tab) also crashes R. Jan On 06-10-17 12:08, Jan van der Laan wrote: > > The following code crashes R (I know I shouldn't try to estimate such > a model; this was a bug in some code of mine). I also tried with > R-devel; same result. > >

Hello! I want to do a non-linear regression with 2 explanatory variables (something like : length ~ a * time * exp( b* temperature)), having a data set (length, time, temperature). Which function could I use (I tried nls but I think it doesn't work) Thanks a lot! Janice

One of the assumptions, on which the (General) Linear Modelling is based is that the response variable is measured with some uncertainties (or weighted), but the explanatory variables are fixed. Is it possible to extend the model by assigning the weights to the explanatory variables as well? Is there a package for doing such a model fit? Thanks

Hi, I just wanted to check I'm not re-inventing the wheel here. I'm developing a new algorithm for backfitting (i.e. additive models) and for computing partial residuals, where partial residuals are still computed even where there are missing values. Noting additive models here contain both linear terms and smooth terms. If I am re-inventing the wheel could some one please let me know.

Dear all, I have a very large dataset (1712351 , 20) and would like to plot only the arrows that represent the contribution of each variables. On the sample below I woild like to plot only the explanatory variables (Murder, Assault..) and not the sites. prcomp(USArrests) # inappropriate prcomp(USArrests, scale = TRUE) prcomp(~ Murder + Assault + Rape, data = USArrests, scale = TRUE)

? To whoever it may correspond, My name is Oscar Saenz and I am working on my thesis in Spain. I am using GAMs in "R" and, now that I have estimated my models, I need to plot the predicted smooth functions against the dependent variable (just as in Carlslaw et al. 2007, fig. 1*). Otherwise, I'd like to know how to plot the smoothed predictor variable values against the partial

How should I analysis it in R ???? all the resposes variables are ordinal from 0 to 10. and the explanatory variable is a factor ... -- View this message in context: http://old.nabble.com/Multivariate-problems-.-.-.-with-200-resposes-variables-and-1-explanatory-variable-tp26522912p26522912.html Sent from the R help mailing list archive at Nabble.com.

Hi everyone I am new to the list and read all the instructions, hope i get it right. I have the following linear model: model_sqrt<-lm(sqrt(mortality)~richness +Acer_davidii+Ailanthus_altissima+Alniphyllum_fortunei +Betula_luminifera+Castanea_henryi+Castanopsis_carlesii +Castanopsis_eyrei+Castanopsis_fargesii+Castanopsis_sclerophylla

Hello, I would like to evaluate the relationship between flows and phytoplankton abundance (or Chlorophyll a concentrations) using a changepoint analysis.? Specifically, I have two study questions: Study Question 1: Are there certain flow thresholds that result in spikes in phytoplankton abundance? Study Question 2: Are the duration of certain flows important for phytoplankton abundance (e.g.,

Hi, I would like to regress y (dependent variable) on x (independent variable) and y(-1). I have create the y(-1) variable in this way: ly<-lag(y, -1) Now if I do the following regression lm (y ~ x + ly) the results I obtain are not correct. Can someone tell me the code to use in R in order to perform a regression using as explanatory variable a lagged dependent variable? My best regards,

Hi R helpers! I have used a glht as a post-hoc test on an lmer with: -2 treatments (A & B) -1 categorical explanatory variable (song type) -1 response variable (latency to respond) I wanted to make comparisons between the categorical variables depending on treatment. At the moment the glht simply returns comparisons of each of the (3) categorical explanatory variables with each other

Dear helpers, does anyone know a function to fit a model with: - y mean that is regressed on a set of explanatory variables - y variace behaving as a garch or as a garch in mean Thank you so much for your help, Carlo

Hello I'm very new to R (which is excellent), so apologies if this has already been raised. In the spdep package, I'm trying to undertake an autoregressive mixed model using the lagsarlm function. This is working fine, but there does not appear to be a method of including an explanatory variable without it automatically being included as a lagged term. I'm after something along the

Ein eingebundener Text mit undefiniertem Zeichensatz wurde abgetrennt. Name: nicht verf?gbar URL: https://stat.ethz.ch/pipermail/r-help/attachments/20061120/73240e63/attachment.pl

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!-- #msg dl { border: 1px #006 solid; background: #369; padding: