similar to: TR: problem with ecdf : "missing C_R_approxfun" message

Hi list, I thought I was used to layouts, but today I am facing a problem I cannot overcome : On my R installation (Windows 7 Pro, SP1, R version 2.13.0, daily update of packages), I am not able to put raster plots in user defined layouts : > layout.matrix<-matrix(c(1,2,3,4,5,5),2,3) > layout(mat=layout.matrix) > layout.show(5) works fine, I get the correct frames in

Hi listeRs, Maybe I have missed something, but I am facing a problem I don't understand even after reading archives and manuals (…maybe not carefully enough !) : On my PC (64-bit OS, Intel Xeon CPU , two L5506@2.13 GHz processors, 12 Go RAM) under Windows 7 SP1, I run both 32-bit (i386-pc-mingw32/i386) and 64-bit (x86_64-pc-mingw32/x64) version 2.14.2 (2012-02-29) of R, packages

Readers, According to the help '?approxfun', the function can be used to obtain the interpolated values. The following test was tried: > testinterpolation<-read.csv('test.csv',header=FALSE) > testinterpolation V1 V2 1 10 2 2 20 NA 3 30 5 4 40 7 5 50 NA 6 60 NA 7 70 2 8 80 6 9 90 9 10 100 NA >

Dear R users, I've two questions: 1) Does anybody have a clue how to convert pixel from a jpeg graphic (e.g. something like a square of 100x100 pxs) into axis coordinate values in R? / //2)// Is there any possibility to extend the locator function in a way that //locator( ) outputs all coordinates from a plot at once, without clicking on the graph? Thanks for any hints. Regards, P.

Dear R users, Quick question on the use of ecdf for producing a cumulative distribution function. After having produced a cumulative distribution using ecdf, I would like to extract the exact x-value for a given percentile. For example I can ascertain the 1st and 3rd quartile using the summary function: cawa.cdp <- ecdf(cawaocc$LEFF80) plot(cawa.cdp, ylab="Fn(x)")

Hi, I am sampling two random columns from females and two random columns from males to produce tetraploid offspring. For every female I am sampling a random male. In the end I want to write out a a matrix with all the offspring, but that does not work. I get always only the offspring from the last females. There must be a mistake in my script: moms<-read.delim("females.txt",

Hey R people, I have just put a package on CRAN, mecdf 0.2.1. It computes multivariate ECDFs. i.e. Estimates (or perhaps I should say evaluates) a multivariate cumulative distribution function, using data, without any assumptions per se. Plus contrary to my own advise, the vignette contains some pretty pictures of the bivariate normal... The current package is relatively simple. However, I have

Hey R people, I have just put a package on CRAN, mecdf 0.2.1. It computes multivariate ECDFs. i.e. Estimates (or perhaps I should say evaluates) a multivariate cumulative distribution function, using data, without any assumptions per se. Plus contrary to my own advise, the vignette contains some pretty pictures of the bivariate normal... The current package is relatively simple. However, I have

Hi list, My attention was drawn to the foreach package by recent posts...I decided to have a look... I'm using R.2.9.1 on Windows, I have downloaded the foreach package today (v 1.2.1), together with iterators (v. 1.0.1) and codetools (v.0.2-2). Full of hope I try the most simple thing of all out of the package vignette : > x <- foreach(i = 1:3) %do% sqrt(i) and get : > Erreur

Dear R Gurus, Sorry if this has been asked before but I did not find it in the archives. I would like to add a horizontal display of mean and SEM on Hmisc ecdf plots done by group (ie variate~treatment). Has anyone written some code to do that ? Thanks and kind regards, Jean-Louis

Hi All, I have codes as follows to get the ecdf plots: > day.hos2<-c(6,4,6,6,4,6,5,4,7,5,6,6,8,6,17,9,8,4,6,3,5,8,7,12,5,10,6,4,6 ,13,7,6,6,25,4,9,96,6,6,6,6,9,4,5,5,4,10,5,7,6) > day.hos3<-c(5,6,7,6,4,5,6,6,6,6,19,7,5,9,8,8,7,5,6,20,40,5,8,7,7,5,6,13, 11,9,4,6,9,16,6,7,6) > f<-ecdf(day.hos2) > plot(f,col.p='red',col.h='red') >

It would be nice if one of the list moms would immediately unsubscribe AND PERMANENTLY BAN idiots who use braindead autoreply filters. This should be official list policy for ALL email lists... On 2011-06-08 2:00 PM, samba-request at lists.samba.org wrote: > Subject: Re: [Samba] samba Digest, Vol 102, Issue 7 > From:> "Andrew McNaughton" <andrew at nleducation.org.uk>

On 2011-06-09 2:00 PM, Robert Schetterer <robert at schetterer.org> wrote: > Am 09.06.2011 15:46, schrieb Charles Marcus: >> It would be nice if one of the list moms would immediately unsubscribe >> AND PERMANENTLY BAN idiots who use braindead autoreply filters. >> >> This should be official list policy for ALL email lists... > just like "do not top

I am having problems trying to get R to graph data input that is log-normal on the horizontal (x) axis. The data is log (base 10), and I am more interested in viewing the tails of the distribution. The closest I can get with this is log on the vertical (y) axis and linear on the horizontal axis. Note that the x-axis is Centile (0%-100%) and is at this time linear, however I want it to be

Hi all, I have the data from the posterior distribution for some parameter. I want to find the 95% credible interval. I think "t.test(data)" is only for the confidence interval. I did not fine function for the Bayesian credible interval. Could some one suggest me? Thanks [[alternative HTML version deleted]]

Dear List: I am trying to find the area between two ECDFs. I am examining the gap in performance between two groups, males and females on a student achievement test in math, which is a continuous metric. I start by creating a subset of the dataframe male<-subset(datafile, female="Male") female<-subset(datafile, female="Female") I then plot the two CDFs via

Hi Folks, Similar to an earlier thread, but slightly more ordinary. My old rsync backup script, which worked fine under Ubuntu 12.04, hangs on Ubuntu 12.10 (rsync 3.0.9) and a 250 MB file. Command line as follows: rsync --itemize-changes --human-readable --progress --delete \ --delete-excluded --compress --bwlimit=18 --recursive --archive \ --partial --partial-dir=~/partial

hi, a) i have something like: ecdfgrp1<-ecdf(subset(mydata,TMT_GRP==1)$Y); ecdfgrp2<-ecdf(subset(mydata,TMT_GRP==2)$Y); how can i plot the difference between these 2 step functions? i could begin with ecdfrefl<-function(x){ecdfgrp2(x)-ecdfgrp1(x);} ... what next? b) if i have a vector with repeated numeric values how can i get the subset without repeated values .e.g (0,4,0,2,2)

I am having problems trying to get R to graph data input that is log-normal on the horizontal axis like the example I have attached and is also below. The data is log (base 10), and I am more interested in viewing the tails of the distribution. The closest I can get with this is log on the vertical axis and linear on the horizontal axis. This is what I have so far: plot(x,y,type="l",

While working on an application, I have run into an interesting problem for which I have no solution at this moment, hence writing to this forum. Basically, I am working on an email application that requires me to fetch data from the backend using AJAX and then I use dom to append the results dynamically to the mail display table. So far so good. So, I call a function getTableData() at the end