similar to: adding lines to multiple plot

Dear R community, I have been spending hours to solve my problem myself but I'm just unable to do it. So excuse me if I demand your time. My problem is, that inside my function, I want to pass conditional arguments (that are the result of a loop) into a function. I am sure that my approach is kind of stupid but I cannot think of another way to do it. I apologize... foo <- function(...,

Hi Are there any more efficient ways of calculating the neighbourhood object for large datasets? I am trying to compute Moran I statistics for a very large data set (over 14,000 points). I have been using moran.test from the spdep package and everything works fine for a small data set (200 points). However, applying the same script to the whole dataset is taking days to compute (it so far has

Dear R-helpers, I'm working on mass spectra in randomForest/R, and following the recommendations for the case of noisy variables, I don't want to use the default mtry (sqrt of nvariables), but I'm not sure up to which proportion mtry/nvariables it makes sense to increase mtry without "overtuning" RF. Let me tell my example: I have 106 spectra belonging to 4 classes, the

hi I got the following error in 'evtree'. could u help pl. Error in if (var(mf[, nVariables]) <= 0) stop("variance of the denpendent variable is 0") : argument is of length zero [[alternative HTML version deleted]]

Hello everyone, I'm working on a package using S4 classes and methods and I ran into the following "problem" when I tried to create an "apply" method for objects of one of my new classes. I've found a way around the problem but I wonder if I did not paint myself into the corner. I'd like your opinion about that. So I have an object "myObj" of class

I would like to add some vertical lines to a lattice plot of histograms. What I am after is a lattice version of abline(v = 1234). The lattice histogram plot is just: histogram( ~ LTSE | approach, data = arrivals) Can anyone point me in the right direction for this? David Scott _________________________________________________________________ David Scott Department of Statistics The

Hello, This is not exactly an R question, but I suspect that there is an R procedure that does what I am calling (for lack of a better name) "histogram ranking". I'm trying to evaluate a set of regression features by segregating by target class and comparing the feature histograms. My idea is that if the histograms are the same for two different classes then there is no

This message is in MIME format. The first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. Send mail to mime@docserver.cac.washington.edu for more info. --0-201145637-953833073=:7710 Content-Type: TEXT/PLAIN; charset=US-ASCII Dear all, I've been hacking on histograms the past couple of days. I wanted to do two things, add

Dear users, I would like to plot several histograms superimposed on the same panel with different colors, with superimposed polygons appearing with transparency effects. I also want estimated densities to appear on the same plot. For several reasons, including that I like it, I want to use the lattice package. I have several questions regarding the use of the 'histogram' function with a

Hi, I want to do something like this: par(mfrow=c(7,7)) for (i in 1:49) hist(RATDACOM[SUBJNO==i],breaks=0.5+(0:6), main="",xlab="",ylab="",xaxt="n",yaxt="n") (Don't think about what RATDACOM and SUBJNO are.) I get an error Error in plot.new() : Figure margins too large. 36 histograms with mfrow=c(6,6) work. But the 36 histograms

> >>>>> "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

Hello, After spending sometime trying to generate histograms of all the numeric variables in a data frame using a for loop, I realized I could use apply to create the histograms. This was one of those few moments when I `see' the alternative to looping. So, I can generate all the histograms with this command: apply(toblo.df[,-c(40,52)],2,hist) # 40 and 52 are ID's When I do this, the

Hi. I am trying to do histograms in lattice, and I want to get both counts and percents in the same plot. To try to be clearer --- there are 3 levels to my factor; I'd like to get a 2 x 3 array of plots where the top row consist of histograms by counts and the bottom consists of (the corresponding) histograms by percent. I tried the following: # Demo. library(lattice) set.seed(42) XX <-

Hello, I am new to R exploratory data analysis and plotting. Is anyone aware of a way to overlay a set of conditional histograms with conditional PDFs? Below, I generate a lattice plot of precipitation histograms based on different months and stations, given a subset of the dataset: histogram(~ data | month * station, data = sta.stack[sta.stack[,"type"]=="precip" &

Dear Dr. Sarkar, When I try to run the codes, I found the following problem: > h<- sample(1:14, 319, rep=T) > c<- sample(1:14, 608, rep=T) > n<- sample(1:14, 1140, rep=T) > vt<-c(h, c, n) > ta<-rep(c("h", "c", "n"), c(319, 608, 1140)) > > to<-data.frame(vt,ta) > library(lattice) Attaching package: 'lattice'

Hello, I am in need of help in putting histograms on the diagonal of a plot produced with splom(). The plot matrix I am trying to produce is to have standard scatterplots in the upper-left triangle, contour plots in the lower-right triangle, and histograms on the diagonal. I have a function that does the first two, but the histograms on the diagonal has been beyond my ability. Here is my

Dear all, I have done further modifications on the histogram functions that I reported earlier this year, and I hope this can be of use and perhaps included in the distribution. I have been using this stuff a couple of months myself, and while it is nothing sophisticated, it has it's applications. :-) I did a few small modifications today to make it a bit more compact. I have modified the

I have data like: a <- rnorm(20000) b <- rep(FALSE,20000) b[sample(1:20000,15000)] <- TRUE Using Lattice graphics, I can produce two side-by-side histograms quite easily by: histogram(a | b) However, I would like to produce a "single" histogram with two bars within each bin, one for each group, as the groups are in reality very slightly different from each other. The

I have written a program in C that two xy datasets, aligns these 2 datasets based on shared features, transforms them into equal sized histograms, transforms the histograms into cumulative distribution functions (via GSL) and finally performs a KS_test. I am wanting to validate my program's results and figure'd i would use R but i am kinda stuck at ithe histograms (I have 2 histogram

Dear all, I am trying to plot 3 histograms on the same graph using the following command. hist(x,xlim=c(0,100)) hist(y,add=TRUE) hist(z,add=TRUE) The xlim of y is c(20,21) and that of z is c(99,99.5) , whereas the variable x has xlim at c(0.5,2). Apparently, the graph end of displaying a line only, corresponding to each histogram due to the wide range of the xlim and tightness of the