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Hello Again R help readers - I have posted in the past and want to thank all those who replied with helpful suggestions. This regards mixed model anova, and the nlme package. My purpose is to make a comparison of barnacle recruit density from 3 different regions. In each of these regions i have sampled 6 randomly chosen sites. I sampled 20 quadrats at each site giving me a total sample size of

Hey, I have a data set of 1.20MB. I used read.table( ) to read in the data and then tried to convert it to geodata type. But it failed and I got "Error in vector("double", length) : cannot allocate vector of length 1351974000" message. All the commands I used were: rawdata<-read.table(file=" ") datag<-as.geodata(rawdata) BTW, what is the biggest origin

Hey there! I got a pseudo code and don't know how to apply it to R, maybe someone can help me: Input: A dataset X, kmax: maximum number of clusters, num_subsamples: number of subsamples. Output: S(i; k) - a distribution of similarities between partitions into k clusters of a reference clustering and clustering of subsamples; i = 1 to num_subsamples Requires: T = cluster(X): A hierarchical

Hello again R help. This is a simple question perhaps(laughing as I type) with a simple answer. Is the multcomp package appropriate for using with a lme built under the nlme package. I know i can get it to work (i.e report p-values for a tukey test) but i am not unsure if this is appropriate for a linear mixed effects model. Below is the code i used lmm1 <- lme(asinh(density_recruit) ~

Hi, I have just discovered that the IMAP account setup wizard in outlook 2019 assumes that the email address for a user is the same as their username, and there is no easy way to separately enter different user. (It can be done via hidden dialog boxes, command line switches and registry hacking, but it is far from easy [1]) Like many small setups, the dovecot accounts on my mail server map