On 2/11/08, willem vervoort <[EMAIL PROTECTED]> wrote: > Dear R-help list, > > I am trying to construct a lattice histogram using 3 factors. > > My dataframe looks like this: (simulating a waterbalance over > groundwater with different salinities) > > s days model EC EC_max > 0.4 1 "A" 10 9 > 0.42 2 "A" 10 9 > 0.44 3 "A" 10 9 > : : : : : > 0.4 1 "B" 10 9 > : : : : : > 0.4 1 "A" 30 9 > : : : : : > 0.4 1 "A" 30 36 > > Anyway you get the gist > EC_max has two levels 9 and 36, EC has 3 levels 10, 30 and 70, and > model has two levels ("A" and "B"). There are say 365 days and s is > the variable of interest (soil saturation) > > Can maybe be reproduced with: > data <- data.frame(s = rnorm(2*3*365*2),rep(1:365,12), model = > sort(rep(c("A","B"),6*365)), > EC = rep(sort(rep(c(10,30,70),365*2)),2), EC_max = > rep(sort(rep(c(9,36),3*365)),2)) > > I would like to plot histograms with the three factors using Lattice > so I had the following code: > > my.strip <- function(which.given, ..., factor.levels) { > levs <- if (which.given == 1) c("Model A","Model B") > else {if(which.given == 2) paste("EC = > ",as.character(EC),"dS/m") > else paste("ECmax = ",as.character(EC_max),"dS/m")} > strip.default(which.given, ..., factor.levels = levs) > } > > histogram(~s|model*as.factor(EC)*as.factor(EC_max),data=Store,xlab="soil > saturation",type="density",strip=my.strip) > > But I am doing something wrong, because it plots the histogram for > factor level EC_max =9 first and than straight over it the histogram > for factor level 36, so only 6 panels on the graph rather than 12. > > I searched the archives, but no luck so far.
Look up the 'layout' argument in ?xyplot. By default, for 2 or more conditioning variables, the levels of the first two define columns and rows, and the rest are spread out over multiple pages. In your example, you could try layout = c(6, 2) for starters. -Deepayan ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.