search for: histogramming

I am trying to do a histogram lattice plot and I would like the histogram to be filled with a different colour in each panel. Note: I want every bar in each histogram to be the same colour, but that there should be different colours *between* histograms. Can't seem to get this to work. I thought that something like the following would be a goer: set.seed(42) X <- rnorm(200) A <-

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

TestHistogram_A is a function that plots a histogram, then returns 3. For me it fails to display the plot, at least in the order given below. TestHistogram_B is a function that plots a histogram, then exits. The only difference between the 2 functions is that B does not return 3. It displays the plot. This problem does not occur when histogram is replaced by boxplot Their use

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

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

Hey everyone, So i cant figure this out. when using histogram() from lattice instead of hist() i get what i want as far as output. But using histogram i can seem to be able to figure out how to get multiple plots on the same panel. So par(mfrow=c(3,2)) for (i in 1:20) hist(rnorm(100),main="",cex.axis=.8) gets me about what i want but i want to use histogram() cause it gives

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

> >>>>> "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 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

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.

Hi I would like to superimpose group-specific densityplots on top of an overall histogram using panel.histogram and panel.densityplot. Furthermore, I would like to automatically adjust the range of the y-axis to take into account the ranges of both histogram and densityplot. This last part is where I have a problem. I believe using the prepanel argument of histogram is typically the way to go,

Earlier, I posted the following question: I want to superimpose histograms from three populations onto the same graph, changing the shading of the bars for each population. After consulting the help files and the archives I cannot find out how to do this (seemly) simple graph. To be clear, I want - a single x axis (from -3 to 18) - three groups of bars forming the histograms of each population

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

I would like to make a scatterplot, with a histogram of the x and y variables above and to the right . I can use layout to set up the areas, and hist(x,y) works fine for the upper histogram. However, I need a rotated histogram on the right, and I don't know how to do this. I've seen a solution with a bar plot on the right, but I'd like to use a histogram. Do you know how I can do

Hello, I'm trying to superimpose a line plot onto a histogram but I'm not having any luck. I've attached the dataset. What I did was: > hist(data,freq=F) Now I'm trying to superimpose the following points with a line connecting them onto the histogram: x y 100 0.535665393824959 200 0.212744329736556 300 0.0844933242968584 400 0.0335572838043417 500

I woud like to plot cumulative histograms. Specifically, I have data like Sex M M F M F F M F Height 6 6.3 6.1 5.5 7.2 6.2 5.9 6.0 .... and I want to plot a histogram of the distribution of all heights, colouring the histogram bars according to sex, for example | o | oo o | o oo ** o o = observations of women | o o*o***o * = observations of

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

i want to plot the histogram and the curve in the same graph.if i have a set of data ,i plot the histogram and also want to see what distribution it was.So i want to plot the curve to know what distribution it like. -- View this message in context: http://www.nabble.com/how-to-plot-the-histogram-and-the-curve-in--the-same-graph-tp20082506p20082506.html Sent from the R help mailing list archive at

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, all; I get an unexpected result when trying to plot a probability histogram with R1.9.1 on windows xp: #with the following code: > x <- runif(100,0,1) > hist(x) > hist(x, freq=F) > h <- hist(x, freq=F) > summary(h) # Length Class Mode #breaks 11 -none- numeric #counts 10 -none- numeric #intensities 10 -none- numeric #density 10