search for: barley1

...RIC=C;LC_TIME=en_US;LC_COLLATE=en_US;LC_MONETARY=en_US;LC_MESSAGES=en_US;LC_PAPER=en_US;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US;LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base > csvFile <- read.csv("Barley1.na22.annot.csv", as.is=TRUE, na.strings="---") > probe <- csvFile[,1] > gb <- csvFile[, 9] > rm(csvFile) > gb <- lapply(unlist(gb), + function(x) toupper(strsplit(x,"\\.")[[1]][1])) > id_file <- cbind(probe,gb) *** caught segfault *...

...a.frame(values = unlist(data), + lev = factor(rep(names(data), lapply(data, length)))) > stack(ex10.09) # try it on the example values lev Wheat1 5.2 Wheat Wheat2 4.5 Wheat Wheat3 6.0 Wheat Wheat4 6.1 Wheat Wheat5 6.7 Wheat Wheat6 5.8 Wheat Barley1 6.5 Barley Barley2 8.0 Barley Barley3 6.1 Barley Barley4 7.5 Barley Barley5 5.9 Barley Barley6 5.6 Barley Maize1 5.8 Maize Maize2 4.7 Maize Maize3 6.4 Maize Maize4 4.9 Maize Maize5 6.0 Maize Maize6 5.2 Maize Oats1 8.3 Oats Oats2 6.1 Oats...

Hello all, I've been able to use R very successfully to run simple statistics and generate the plots I require. I've been evaluating Sweave, and have hit upon a small problem that I don't seem to be able to workaround. Sweave runs very well for single file latex documents, but I have a complex thesis made up of several parts and chapters. These are arranged with a master latex file

...t;> > > > >> > > > >> > Hi Dieter, > > >> > > > >> > You can do this with ggplot2 (http://had.co.nz/ggplot2) as follows: > > >> > > > >> > library(ggplot2) > > >> > > > >> > barley1 <- subset(barley, site=="Grand Rapids" & variety %in% > > >> > c("Velvet","Peatland")) > > >> > barley1[] <- lapply(barley1, "[", drop=TRUE) > > >> > > > >> > qplot(variety, yield, data=bar...