search for: meanplot

Hi, I am attempting to set the confidence limits on a ls means plot as follows: mult<-glht(lm(effectModel, data=statdata, na.action = na.omit), linfct=mcp(mainEffect="Means")) meanPlot <- sub(".html", "meanplot.jpg", htmlFile) jpeg(meanPlot) plot(mult, main=NA, xlab=unlist(strsplit(Args[4],"~"))[1]) This produces 95% CIs by default but I would like to produce 99% CIs - How do I do this? Thanks, Robin -- View this message in context: http:/...

...) tmp$MeanZ[tmp$Type == t] <- mean(test$MeanZ[test$Type==t & test$Subject==s]) } all$MeanX = all$MeanX + tmp$MeanX all$MeanZ = all$MeanZ + tmp$MeanZ } l <- length(levels(factor(test$Subject))) all$MeanX = all$MeanX/l all$MeanX = all$MeanZ/l ### plot for means meanplot <- dotplot(MeanX+MeanZ ~ Type, data=all, cex = 1.2, xlab="", ylab="", panel = panel.superpose, panel.groups = function(x, ..., group.number){ panel.dotplot(x + (group.number - 1.5)/3, ... ) }) ### test plot in order to see if there is something wrong. pl...

...52, 0.368991215730364 0.0263157894736842, 0.256406702156839 0.0263157894736842, 0.344003157058329 0.0303030303030303, 0.200307950418176 0.0303030303030303, 0.558093143666938 0.04, 0.363786583569412 0.04, 0.462668853163967 and I'd like to have a plot like http://www.statmethods.net/stats/images/meanplot.jpg Position shall be plotted to the x-axis and Relevance to y-axis. Foreach value that occurs in the column Position the of all corresponding values in the second column and their variance shall be plotted. Furthermore all means shall be connected by a curve. I have no idea how to realize that. C...

...or you: 1) I am trying to complete a multiple comparison test after completing a one-way ANOVA on some data. I think this is pretty reasonable. aov(MetricSubset ~ GeneNameFactor) works pairwise.t.test(MetricSubset,GeneNameSubset,p.adjuxt.method=bonferroni,p ool.sd=FALSE) returns, Error in meanplot.R(c(3258, 3780, 3968, 2577, 8831, 2501, 2586, 2679, : couldn't find function "pairwise.t.test" I also looked at the R function p.adjust I am not sure how p.adjust with multiple comparisons. Does R support multiple comparison tests (Tukey, Bonferroni, etc...) and are the...