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I am wondering if someone would have any suggestion about my issue? I have the following code: wgts<-aggregate(subset(lendata,select=c(Length)),list(lendata$Cruise,len data$Station,lendata$Region,lendata$Total),mean) wgts<-wgts[order(wgts$Group.3,wgts$Group.1,wgts$Group.1),] names(wgts)<-c("Cruise","Station","Region","Total","MLen")

Fellow R Users: I'm not extremely familiar with lda or R programming, but a recent editorial review of a manuscript submission has prompted a crash cousre. I am on this forum hoping I could solicit some much needed advice for deriving a classification equation. I have used three basic measurements in lda to predict two groups: male and female. I have a working model, low Wilk's lambda,

Hi R-users,   I have this code below and use some code from sn package for multivariate skew t (rmst) to generate a set of random numbers.   I try to do a looping to produce ‘rand’ for different values of degrees of freedom (degf).  Actually, I’m not sure how to specify the attribute for the rand.  As we know, rand will give us a set of results + all the parameters used, so just wonder whether we

Dear all, I am pretty new to R only having an introduction course, so please bare with me. I am doing my PhD at The Max Planck Institute of Immunobiology where I am analyzing some calorimetry data from some mice. I have a spreadsheet consisting of measurements of the respiratory exchange rate at different time points measured every 9 minutes over some days. My goal is "bin"/average the

Hello dear R members. I have been learning the Anova syntax in order to perform an SS type III Anova with repeated measures designs (thank you Prof. John Fox!) And another question came up: where/what are the (between/within) residuals for my model? ############ Play code: phase <- factor(rep(c("pretest", "posttest", "followup"), c(5, 5, 5)),