search for: dewolfe

Dear all, I try to run the example of lmer and get the following error message. > library(lme4) > example(lmer) lmer> (fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)) [[1]] Error in get(x, envir, mode, inherits) : variable "as.dpoMatrix" was not found This error message is similar to what I get with other models. It looks like the mer class has a slightly

Maybe I do not explain well what I would like to do. I do not want to change the labels of the axis, but the scale. What I want is a general procedure for changing the scale. Its like using a logarithmic scale on a plot. Labels are the same, but the increases of x along the x-axis are defined by a known monotone and continuous function. Florent Bresson ----- Message d'origine ---- De :

...imap. I have not tried it yet, but I would guess it supports enough for most needs. There are several PC email clients that support imap as well. These include Netscape, Eudora, Outlook, and I am sure others. I would highly recommend this combination. It works great for me. Good Luck, John DeWolfe DeWolfe Enterprises, LLC http://www.dewolfe.com

...hanks soo much. -braman ================================================== xxxxxxxxxx=calling number x'ed out for confidentiality prupose====== Mar 25 09:48:13 VERBOSE[3685] logger.c: -- Starting simple switch on 'Zap/4-1' Mar 25 09:48:14 DEBUG[3685] pbx.c: Function result is '"DEWOLFE ENG" <xxxxxxxxxx>' Mar 25 09:48:14 VERBOSE[3685] logger.c: -- Executing NoOp("Zap/4-1", ">>>>>>>>> CallerID="DEWOLFE ENG" <xxxxxxxxxx>") in new stack Mar 25 09:48:14 VERBOSE[3685] logger.c: -- Executing Answer("Zap/4...

Hi, I have a lattice xyplot that contains panels according to FactorA, and curves for the 2 levels of Factor B within a panel. I try to add text in the panels of a lattice graph. I suppose I have to write a custom function (panel.txt). What I really would like is to adapt the text in the panel according to the levels of FactorA. In the manuals, I find examples for the strips using which.given

Hi, I' trying to learn how to use lme for Linear Mixed Models and I have a problem when I have to include more than one random effect in my model. I know that this could be a stupid question to ask, but I'm not able to solve it by myself... One example: if my model is response = operator + block + day with operator and block as fixed effects and day as random effect, I use res.lme

Could anybody explain this difference in the function order() between R under windows and R under Linux ? It seems that under Linux the order in of character dsitinguishes between caps and normal letters and sorts them starting with the capitals (see below). How can I avoid this (I mean: get the same results as I get under Windows)? Thanks Joris Under Windows R 1.6.2 > mstring <-

Dear members, I would like to switch from nlme to lme4 and try to translate some of my models that worked fine with lme. I have problems with the pdMat classes. Below a toy dataset with a fixed effect F and a random effect R. I gave also 2 similar lme models. The one containing pdLogChol (lme1) is easy to translate (as it is an explicit notation of the default model) The more parsimonious

Can anybody explain me what is going wrong with the rbind command or how I could avoid the problem? I have a script with loops which time has a dataframe as output (called T2sbdata). After each loop I would like to append that dataframe to the results I obtained from the previous loops (called T2sbdataALL) and use for that purpose rbind. Below a part of the loop and the result I get. The

Dear all, OS: x86_64-suse-linux 9.2 CPU: Intel(R) Xeon(TM) CPU 3.20GHz R-version: R-2.1.0 I've started using a new Linux server, upgraded at the same time to R-2.1.0 (see above) and have problems with some elementary analysis that ran without a problem on my previous configuration. anova.glm gives the following error: Error in La.chol2inv(x, size) : lapack routines cannot be loaded This