similar to: ftable and xtabs

Hi R community, I'm just starting out in R and have a basic question about xyplot and tables. Suppose I had a table of data with the following names: Height, Age_group, City. I'd like to plot mean Height vs Age_group for each City. When I try to do the following: > library(lattice) > xyplot(mean(Height) ~ Age_group | City) of course I get just one data point, the mean Height for

A small example before I begin my query: > educ <- read.table(efile, header=TRUE) > educ Education Age_Group Count 1 IncompleteHS 25-34 5416 2 IncompleteHS 35-44 5030 3 IncompleteHS 45-54 5777 4 IncompleteHS 55-64 7606 5 IncompleteHS >64 13746 6 CompletedHS 25-34 16431 7 CompletedHS 35-44 1855 8 CompletedHS 45-54 9435 9

Dear List, I have a data matrix with 570 columns containing 95 (samples) with 6 replicates each. How can I calculate the mean of the replicates for 95 samples? Thank you. The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is

Hi List, My goal is to force R not to print in scientific notation in the sixth column (rel_diff - for the p-value) of my data frame (not a matrix). I have used the format.pval () and printCoefmat () functions on the data frame. The R script is appended below. This issue is that use of the format.pval () and printCoefmat () functions on the data frame gives me the desired results, but coerces

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 ~