similar to: Query: What is 'Trellis'?

I have the 'breaks' for the histogram ('hist') but I want weight the cells instead of using actual observations. I thought that using freq=FALSE implied that the numbers in 'x' were weights but this turned out to be wrong. Any help and/or comment is very much appreciated. Regards, M?rten M?rten Bjellerup Doctoral Student in Economics School of Management and Economics

I have 'grouped' data, that is in the form of: Interval Median 0-9.9%: -25 10-19.9%: 0 20-29.9%: 3 30-39.9%: 10 40-49.9%: 50 50-59.9%: 200 et cetera and want to fit a three parameter gamma distribution. Does anyone know of an existing routine for doing this (or something similar)? Any help or comment is much appreciated. Regards, M?rten M?rten

Hello all, Please consider the following library(lattice) Colors. <-rep(brewer.pal(7, "Dark2"),2) color <- 1 Data.X.. <- data.frame(UnitArea = c(rnorm(1000), rnorm(1000)), Type = c(rep("Base",1000),rep("Log",1000))) histogram( ~ UnitArea | Type, data = Data.X.., xlab = "Unit Area", type = "density", panel =

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

I've been scrathing my head over this one. Suppose I have a data.frame which maps to a 'n x k' lattice, and that one of those cells is empty. An artificial example is generated by Q<-data.frame(x1=sample(c("A","B"),10,replace=TRUE), x2=c("C", rep("D",9)), y=rnorm(10)) where by having only one obs. for the first level of the

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 R users, I would like to know why these following curve densities don't appear correctly on the histograms. Thank you for your help library(lattice) library(grid) resp <- rnorm(2000) group <- sample(c("G1", "G2", "G3", "G4"), replace = TRUE, size = 1000) histogram(~ resp | group, col="steelblue", panel = function(x, ...){ std

I am interested in plotting histograms for the following data Isoform Tumor_65_198 Tumor_50_192 Tumor_80_167 Tumor_80_204 Tumor_95_197 Tumor_70_189 Tumor_90_202 Tumor_40_177 Tumor_60_21 Tumor_70_174 Tumor_70_147 Tumor_50_5 ABCC4-2007 1 1 1 6 1 9 10 1 2 0 10 1 ABCC4-2008 5 8 7 5 3 10 5 5 7 3 10 3 ABCC4-2009 0 0 0 0 0 0 0 0 0 0 0 0 ABCC4-2010

I am using Version 1.3.0 (2001-06-22) on Windows/2000. Had loaded the 'lattice' and 'grid' libraries and was trying the example on densityplot: data(singer) densityplot( ~ height | voice.part, data = singer, layout = c(2, 4), xlab = "Height (inches)", bw = 5) ## Using a predefined panel function to fit a normal distribution

Hello, I have multiple data files. Each file contains a single column and 1.5 million rows. I want to create normalized pdfs (area under curve is 1) and histograms to compare with one another. Could anybody suggest if there exists an easy way or built in function in R. At present I am using Origin and Excel together to do this. A single file needs 10 minutes and I have a total of 929 files! So

. I am looking for a histogram or box plot with the adding normal distribution curve I think that must be possible, but I am not able to find out how to do. Regards Knut

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" &

Allow Guestfs.t handle to be garbage collected, and add a regression test.

Using metaflac (1.0.3) like this: metaflac file.flac --set-vc-field=title=test??????e? The vorbiscomment will not be UTF8-encoded, instead they will be stored directly as ANSI. When trying to add some more comment, it gave the following error: ERROR: writing FLAC file file.flac, error = FLAC__METADATA_CHAIN_STATUS_OK Does that mean that weren't enough room for the comments? But

I've been asked (privately) >>>>> "CarlosJ" == jaramilloc <jaramilloc at si.edu> >>>>> on Wed, 14 Sep 2005 09:40:22 -0400 writes: .......... CarlosJ> In Kaufman & Rousseeuw 2000 book on Cluster Analysis, it says that CarlosJ> Daisy can compute Pearson correlation between variables and then CarlosJ> transform

These are considerably more efficient than ordinary global roots, but with the caveat that the program is not allowed to modify them without calling a special function. We don't modify them, so this change is safe. This requires OCaml >= 3.11, but we have that on RHEL 6 (since we dropped support for RHEL 5). See also:

--- Mattias Dahlberg <mdati00@student.vxu.se> wrote: > Using metaflac (1.0.3) like this: > > metaflac file.flac --set-vc-field=title=testÅÄÖåäöeè > > The vorbiscomment will not be UTF8-encoded, instead > they will be stored directly as ANSI. yes, metaflac is currently not doing utf-8 encoding. the same libutf8 from libvorbis is in the flac source tree but it's not

Hi there fellow hackers, geeks and others who want the UNIX desktop to succeed. I bring forward the question whether or not a (freedesktop.org) specification is necessary for application scheduling software. The current UNIX Desktop user does not have an easy way to configure the tasks which he wants to schedule. Sure we have such a utility. And sure we can shout to our Desktop users

Hello folks, Let me first apologize: I'm not a professional nor a mathematician, just an ordinary guy, fooling around with the excellent R-package. I know the basic principles behind statistics, but haven't read anything more advanced than the ordinary first probability and statistics courses. Enough disclaimers? Good! I was examining the multinom-function (in the nnet-package) the other

Okay, I''ve had some success rendering partials and felt I''d try something more interesting with collections. I have a query run by my model, which works. When I run it from the console I can see all of the data I want. However, bringing that into my view isn''t working the way I think. So obviously I''m thinking wrong, but I can''t see where my