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Dear all, I've got a problem in including square variables in lme function. I've tried to work on Dialyzer data of Pinheiro and Bates'book. We fit the heteroscedastic model with: > data(Dialyzer) > fm2Dial.lme<-lme(rate~(pressure+pressure^2+pressure^3+pressure^4)*QB, + Dialyzer,~pressure+pressure^2,weights=varPower(form=~pressure)) We Obtain > fm2Dial.lme Linear

Hola:   Tengo un modelo de regresión lineal en el cual las componentes son cosenoidales, y lo construyo del siguiente modo:     modelo = "y ~ I(t) + I(t^2) + I(t^3) + x1[, 1] + x2[, 1]" x1[, 1] = cos(2 * pi * t / periods[1]) x2[, 1] = sin(2 * pi * t / periods[1]) for (i in 2:nComp) {   x1[, i] = cos(2 * pi * t / periods[i])   x2[, i] = sin(2 * pi * t / periods[i])   modelo =

Dear Dr. Bates, and R-help, I've tried the anova function to test the difference between two coefficients, as shown on page 225 of your book "Mixed Effects Models in S and S-Plus (Statistics and Computing)". When I type: anova( fm2BW.lme, L = c(TimeDiet2 = 1, TimeDiet3 = -1) ) I got the following error message: Error: unexpected '=' in "anova( fm2BW.lme, L =

Dear R-help, The following nlme example, from help(Variogram.gls), does not work on my system. > data(BodyWeight) > fm1 <- gls(weight ~ Time * Diet, BodyWeight) > Variogram(fm1, form = ~ Time | Rat)[1:10,] Error in FUN(X[[1]], ...) : unused argument(s) (method ...) It looks like I might not have loaded a necessary package. I did load nls and lattice (the latter not actually being

Dear All: I updated my R program as well as associated packages yesterday. Currently my R version is 2.2.1 running under WINXP SP-2. When I tried to list (summary) an nlme object that I developed before, I got the following error message: [ Error in .C("ARMA_constCoef", as.integer(attr(object, "p")), as.integer(attr(object, : C entry point "ARMA_constCoef"

Dear R-help, In nlme package, anova () can be used to test the difference between two coefficients as shown on page 225 of "Mixed Effects Models in S and S-Plus": anova(fm2BW.lme, L = c("Time:Diet2" = 1, "Time:Diet3" = -1)) Now my question is instead of test the difference between two coefficients, can I use anova to test the significance of the sum of two

I am trying to use the nlme package in R following the book "Mixed-Effects Models in S and S-Plus". I have the latest versions of R (1.6.1) and nlme (3.1-33) for Windows (95 or later). I had problems with the instruction Variogram using a gls class object (Section 5.4, pg 261-262). Even when I use the scripts included in the package, I get an error message and not the expected

Hi, All: Is there a way to get random effects for ARMA parameters? Consider the following example from the 'corARMA' help page: fm1Ovar.lme <- lme(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), data = Ovary, random = pdDiag(~sin(2*pi*Time))) fm5Ovar.lme <- update(fm1Ovar.lme, corr = corARMA(p = 1, q = 1)) fm5Ovar.lme Linear