similar to: Lattice: arbitrary abline in multiple histograms

Hi, I'm trying to develop an histogram method for a class called "FLQuant" which is used by the package FLCore (http://flr-project.org). FLQuant is an extension to "array". There is an as.data.frame method that coerces flquant into a data.frame suitable for lattice plotting. The problem is that when I coerce the object and plot it after it works but if the method is

Hi, I'm trying to develop an histogram method for a class called "FLQuant" which is used by the package FLCore (http://flr-project.org). FLQuant is an extension to "array". There is an as.data.frame method that coerces flquant into a data.frame suitable for lattice plotting. The problem is that when I coerce the object and plot it after it works but if the method is

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Dear list, I making some box-and-whisker plots in R with vertebrate data. The x axis are species names that must be in italics. I tried with the "axis" function but no luck, and it seems that affects both axes. Any tip? Thanks a lot in Advance. Alej

I need to find the area under a trapezoid for a research-related project. I was able to find the area under the trapezoid in MATLAB using the code: function [int] = myquadrature(f,a,b) % user-defined quadrature function % integrate data f from x=a to x=b assuming f is equally spaced over the interval % use type % determine number of data points npts = prod(size(f)); nint = npts -1; %number of

As of LLVM 3.2, is it possible to use iostream with the MCJIT or interpreter execution engines? I'm getting some errors... Each of these commands correctly prints "hello": echo -e '#include <stdio.h>\nint main(){ printf("hello"); }' | clang -cc1 -emit-llvm-bc -x c++ | lli -use-mcjit echo -e '#include <iostream>\nint main(){ std::cout <<

been puzzling over this for a day. Summary integer variable to use with histogram, 170,000 rows. Value is day of year. Hist works, lattice histogram with nint does not work (spurious spikes in display), lattice histogram using breaks=c(0:365) works fine. Spike values appear to be sum of two adjacent bins. Want to know if this is a familiar problem, and what the recommended work-around is.

When I try to run the example from Variogram with an lme object, I get an error (although summary works): R : Copyright 2005, The R Foundation for Statistical Computing Version 2.2.1 (2005-12-20 r36812) ISBN 3-900051-07-0 ... > fm1 <- lme(weight ~ Time * Diet, BodyWeight, ~ Time | Rat) Error: couldn't find function "lme" > Variogram(fm1, form = ~ Time | Rat, nint =

My apologies, the data can now be found at: url <- "http://www.econ.uiuc.edu/~roger/research/ebayes/velo.d" x <- scan(url,skip = 1) If I could get each of the histograms to mimic what is produced by hist(x, 100, freq = FALSE) I?ve experimented with xlim, ylim, without success so far... url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu

Hi, I am having some trouble trying to plot a histogram in more than one colour. What I want to do is, plot two vectors in the same histogram, but with different colours, for instance: > x <- rnorm(1000,20,4); > y <- rnorm(1000,10,2); Then I'd like to have x and y ploted on the same hist (I can do that already doing w <- c(x,y) then hist(w)) but the bars

I am trying to do some comparisons of density estimators using lattice. The code below attempts to plot the same histogram in each panel and then overplots a kernel estimate with different bandwidths. Finding packet.number() was a bit arduous, but seems to do what I want. My concern now is that close examination of the 4 histograms reveals that they are different even though they use the same

I have 8 cofactors possibly affecting one and only one variable. I make conditional histograms: <-pdf(file="tst3.pdf",paper="special",width=36,height=36) <-histogram(~Oversized|dat$c1*dat$c2*dat$c5*dat$c6*dat$c7*dat$c8*dat$c9*dat$c10,nint=21,layout=c(32,8),data=dat,type="count") <-dev.off() This works (compliments to R developers!) but it does generate a

(I sent this earlier, but it seems not to have come through, due to problems witkh my system) The following command from appendix A, "a sample session", isnt correct: contour(x, y, fa, nint=15) when used R protests: Warning message: parameter "nint" couldn't be set in high-level plot() function it should probably be nlevels, as used a few lines before. This is

Hi! I have a set of 49 pairwise comparisons that I have done. From this I would like to plot either histograms or the density plots of the values I get. Now, I can plot one histogram per comparison, but I have problems getting the output I want. When plotting like I normally would do: histogram(~percid | orgA_orgB, data = alldata) I get the histograms next to eachother in a boxlike shape.

Hi, I am faced with a strange problem. My picture file is empty when the following statements were run from R script. But the picture file shows up correctly, when the commands are individually run from Rgui. png(file="histogram_correlation.png", bg = "white") require(stats) histogram( ~ height | voice.part, data = singer, nint = 17, endpoints = c(59.5, 76.5),

hi, library(lattice) x<-c(-1,-1,-1,0,0,0,0,1,1,2) rng<-range(x) histogram(x,endpoints=c(rng[1]-0.5,rng[2]+0.5),nint=length(unique(x))) instead of contiguous bins, i'd like spaces between them to indicate that the data is discrete, or even better, line segments positioned at integer values. i know how to do this with plot, but i need it with histogram, so that in more complicated

Dear list, I would like to create histograms for up to three groups, with distincive colour/pattern, in a trellis panel. However, I have not been able to find a way to do this. histogram does not seem to have a group argument. Please help. /Fredrik

Dear R Users, I've never used R before and my professor has asked us to do some pretty intense programming (or it's intense to me at least). Here is the question: Modify the function myquadrature inside the script so that it returns the quadrature of descrete data using the trapezoidal rule. Modify the call to the function at the bottom of the script so that is uses your modifies

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, ...) {

On 10/12/2013 19:47, Jim Grosbach wrote: > > On Dec 10, 2013, at 11:26 AM, Alp Toker <alp at nuanti.com > <mailto:alp at nuanti.com>> wrote: > >> >> On 10/12/2013 18:03, Jim Grosbach wrote: >>>> That causes dissonance between what the compiler sees and what >>>> lit.py sees for no particularly good reason. One of the nice