[R] finding an unknown distribution

Hi, I need to analyze the influences of several factors on a variable that is a measure of fecundity, consisting of 73 observations ranging from 0 to 5. The variable is continuous and highly positive skewed, none of the typical transformations was able to normalize the data. Thus, I was thinking

Re: [R] GLMMs fitted with lmer (R) glimmix (SAS

Thanks for your responses. I knew that when you include an interaction term in a model you must include the main effects of each of the factors. Therefore, I assumed that SAS will do that by default. In most statistical packages, as in R, the main effects are automatically added when you include

Re: [R] GLMMs fitted with lmer (R) glimmix (SAS)

Sorry, I realized that somehow the message got truncated. Here is the remaining part of the SAS output: Solutions for Fixed Effects: Effect DIST DW ELI SEX SEAS Estimate Std. Error DF t Value Pr |t| Intercept

[R] GLMMs fitted with lmer (R) glimmix (SAS)

. Thanks, Andrea Previtali Post-doc fellow Dept. of Biology, Univ. of Utah. lmer output: Generalized linear mixed model fit using PQL Formula: SURV ~ SEX * ELI + DW * DIST + SEAS + DEN + WT + (1 | SITE) Family: binomial(logit link) AIC BIC logLik deviance 1539 1606 -758.7 1517 Random effects

[R] groupedData function not found

) I have added the package nlme and to confirm that it was installed correctly I requested the list of functions included in the package (library(help=nlme)) and I do see groupData in the list. I am using R 2.6.1 in Windows XP. I'll appreciate your help. Thanks, Andrea Previtali Post-doc fellow