search for: sucrose

...al And Rohlf's (1995 3rd edition) Biometry. I've hit a snag with planned comparisons, their box 9.4 and section 9.6. It's a basic anova design: treatment <- factor(rep(c("control", "glucose", "fructose", "gluc+fruct", "sucrose"), each = 10)) length <- c(75, 67, 70, 75, 65, 71, 67, 67, 76, 68, 57, 58, 60, 59, 62, 60, 60, 57, 59, 61, 58, 61, 56, 58, 57, 56, 61, 60, 57, 58, 58, 59, 58, 61, 57, 56, 58, 57, 57, 59, 62, 66, 65, 63, 64, 62, 65, 65, 62, 67) sugars <- d...

...t here is the code that I've entered so far to make my figure: library(sciplot) postscript('PreferenceGraph2x2.eps') par(mfrow = c(2,2), pin=c(6.45669292,6.45669292), pty="m") lineplot.CI(Week, Pref, group = Drug, data=SM.long, xlab = "Week", ylab ="Proportion Sucrose of Total Fluids", x.leg =1, y.leg=.91, leg.lab= c("Salvia","Control"),col =c("red","darkgreen"),ylim=c(0.48,.95), main = "Preference of Stressed Males") lineplot.CI(Week, Pref, group = Drug, data=SF.long, xlab = "Week", ylab ="Pr...

Thank you for reading. I am trying to get sphericity values, and I understood I need to use mlm, but how do I implement a nested within subject design in mlm? I already read the R newsletter, fox chapter appendix, EZanova, and whatever I could find online. My original ANOVA anova(aov(resp ~ sucrose*citral, random =~1 | subject, data = p12bl, subset = exps==1)) Or anova(aov(resp ~ sucrose*citral, random =~1 | subject/sucrose*citral, data = p12bl, subset = exps==1)) ? Thanks, Adam ---------------------------------------- From: r-help-request at r-project.org Subject: R-help Digest, Vol 90,...