search for: desniti

Is there any function like par(new=T) for lattice. I want to plot a histogram in percentages on the right hand side and also superimpose the densityplot with its density scale on the lhs. so far I am only able to do this histogram( temp[,2]~ temp[,1],nint=100,type="desnity", xlab = "Population Size", panel = function(x, ...) {

Hi I am using R 2.2.0 under SuSE 10. I am creating a graph by using the following script: DietF <- read.csv ("DietFem.csv", header = TRUE, as.is=TRUE) attach (DietF) PP <- array(c(bud,flower,shoot,melon,seed.pod,detritus,other), c(16,7)) M <- paste (Month) detach (DietF) png(filename="DietF.png", width=960) barplot (t(PP), ylim=c(0,1), names.arg=M, space=0.3,

Dear R users, This is a KDE beginner's question. I have this distribution: > length(cap) [1] 200 > summary(cap) Min. 1st Qu. Median Mean 3rd Qu. Max. 459.9 802.3 991.6 1066.0 1242.0 2382.0 I need to compute the sum of the values times their probability of occurence. The graph is fine, den <- density(cap, from=min(cap), to=max(cap), give.Rkern=F)

> >>>>> "PD" == Peter Dalgaard BSA <p.dalgaard at biostat.ku.dk> writes: > > PD> "Venables, Bill (CMIS, Cleveland)" <Bill.Venables at cmis.CSIRO.AU> > PD> writes: > >> The fact that every elementary book on statistics does it this way > >> does not make it correct. To be helpful, a histogram really

Hi, I have a data frame with 6563 observations. I can run a regression with loess using four explanatory variables. If I add a fifth, R crashes. There are no missings in the data, and if I run a regression with any four of the five explanatory variables, it works. Its only when I go from four to five that it crashes. This leads me to believe that it is not an obvious problem with the data,