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These are some boot/rescue systems with ext3 support. The RIP boot/rescue system. This is a boot/rescue system, it comes in three versions. There's a bootable cd version that comes with kernel 2.4.6 and has IDE and SCSI support. rip-39.iso.bin 2528kb They can all be found here: http://www.tux.org/pub/people/kent-robotti/looplinux/rip/index.html There's more info at the above site.

Hi there, I wonder if anyone can help me. I'm trying to use bargraph.CI in the Sciplot package when there is a missing combination of the factor levels. Unfortunately the standard errors on the plot do not appear to be correct. Consider an analysis consisting of two factors A and B. When all factor level combinations are present all appears fine: library(sciplot) #all data

Dear R-users, I'm currently using the multcomp package to produce plots of means with 95% confidence intervals i.e. mult<-glht(lm(response~treatment, data=statdata), linfct=mcp(treatment="Means")) plot(confint(mult,calpha = sig)) Unfortunately the y-axis on the plot appears to be fixed and hence if the labels on the y-axis (treatment levels) are too long, then they are not

http://www.nabble.com/file/p24211204/repeated.csv repeated.csv Dear all, I'm currently trying to replicate some Proc Mixed results using lme() and have a curious result I can't explain. The dataset is a repeated measures example where patients (each on one of several treatments) are measured over a number of days. Putting aside issues of the error covariance structure I'm using