similar to: superimpose histogram and fitted gamma pdf

I have not found an easy way to compress a file on filesystem. Especially I'd like to compress a pdf from pdf() function/device. Is it possible to compress It on the flight? I'd like to do something like: pdf(gzipconnection()) dev.off() If It is not possible, how can I create a gzip with the pdf? Thanks Daniele A. ________________________________ ORS Srl Via Agostino Morando 1/3

Hi all, I've been trying to figure out how to superimpose a histogram on a biplot that shows the relative contribution of each axis. I have been using the NIPALS function (http://biomserv.univ-lyon1.fr/~dray/ files/softwares/nipals.R) to run principal component analyses. Here is a toy example. source("http://biomserv.univ-lyon1.fr/~dray/files/softwares/nipals.R")

NCSS has a nice plot of the histogram and density plot superimposed. The S-PLUS 4 Guide to Statistics on page 45 suggests the following code for a general purpose density plot for a vector named data iqd <- summary(data)[5]-summary(data)[2] plot(density(data,width=2*iqd),xlab="x",ylab="",type="l") Is it possible to superimpose the density plot on a histogram

Hi this might be a little bit off topic, but here it goes: lets assume I have the following: set.seed(13) dat1 <- rnorm(2000, mean=10, sd=10) dat2 <- rnorm(100, mean=10, sd=20) d.all <- density(dat, n=1024) d.co <- density(x[[v]], , from=min(d.all$x), to=max(d.all$x), n=1024) d.diff <- list( x = d.all$x,

I need a plot with a histogram z and a plot of z versus y superimposed. This is not working... z = rnorm(1000) y = rnorm(1000,1,2) hist(z) dx = plot(z, y, lwd = 1) lines(dx, add=TRUE) -- Thanks, Jim. [[alternative HTML version deleted]]

Hi Guy's I was wondering if someone could point me in the right direction. dbinom(10,1,0.25) I am using dbinom(10,1,0.25) to calculate the probabilty of 10 judges choosing a certain brand x times. I was wondering how I would go about simulating 1000 trials of each x value ? regards Brendan -- View this message in context:

Hi I am sure this is simple - but how can I convert one charecter vector into one string? example: x <- c("This ", "is ", "one ", "sentence.") should become "This is one entence" Thanks Rainer -- NEW EMAIL ADDRESS AND ADDRESS: Rainer.Krug at uct.ac.za RKrug at sun.ac.za WILL BE DISCONTINUED END OF MARCH Rainer M. Krug, Dipl. Phys.

Hi I know how to referenc R in a scientific paper - but is there a standardised way to reference packages? Thanks Rainer -- NEW EMAIL ADDRESS AND ADDRESS: Rainer.Krug at uct.ac.za RKrug at sun.ac.za WILL BE DISCONTINUED END OF MARCH Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Plant Conservation Unit Department of Botany University of Cape Town Rondebosch 7701

Hi, I am facing the problem that I want to plot a histogram chart set freq to true and overlay with normal or weibull or exponential distribution curve. The sample code is shown as below: >samp<-c(-8.2262,-8.2262,-8.2262,-8.20209,-8.09294,-8.07321,-8.07321, -8.07321,-8.07175,-8.04948,-8.04948,-8.04948,-8.03848,-8.03848,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi Just to be sure: I couldn't find a way of creating an interactive 3d graph which can be embedded in a pdf - is it correct that this can not be done with R? Cheers, Rainer - -- Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology, UCT), Dipl. Phys. (Germany) Centre of Excellence for Invasion Biology Stellenbosch

Hi I use the following code and it stores the results of density() in the list dr: dens <- function(run) { density( positions$X[positions$run==run], bw=3, cut=-2 ) } dr <- lapply(1:5, dens) but the results are stored in dr[[i]] and not dr[i], i.e. plot(dr[[1]]) works, but plot([1]) doesn't. Is there any way that I can store them in dr[i]? Thanks a lot, Rainer -- Rainer M. Krug,

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

Dear R users, i try to calculate the probabilty to survive a given time by using the estimated survival curve by kaplan meier. What is the right way to do that? as far as is see i cannot use the predict-methods from the survival package? library(survival) set.seed(1) time <- cumsum(rexp(1000)/10) status <- rbinom(1000, 1, 0.5) ## kaplan meier estimates fit <- survfit(Surv(time,

Hi > version _ platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 2 minor 5.1 year 2007 month 06 day 27 svn rev 42083 language R version.string R version 2.5.1 (2007-06-27) I want to create a pdf withe three graphs on a page and with two pages:

Dear list, I would like to plot the empirical cumulative distribution of the time needed by a treatment to attain a certain goal. A number of experiments is run with a strict time limit. In some experiments the goal is attained before the time limit, in other experiments time expires before the goal is attained. The situation is very similar to survivial analysis with censored data. I tryed

Hi is there an alternative to par(new), for ading data to a plot for a different y-axis? My problem with par(new=TRUE) is, that it re-defines all axis and labels (as in example 1) and one has to use xlim=... to fix the x-axis. I am looking for something, which simply resets the y-axis, so that a new plot() (or points()/lines()) keeps the x-axis, but re-defines the y-axis. Is there something

Hi R experts :) I'm trying to carry out a survival model on my data, but I am unsure of whether it's appropriate or if I should do something specific in regards to hazard. My data is time to death by predator where I have 8 prey and one predator in the setting. This means that two prey can't possibly die at the same time and I can't quite get my head around how to include this in

Hi I have a plist t which contains size measurements of individual plants, identified by the field "plate". It contains, among other, a field "year" indicating the year in which the individual was measured and the "height". The number of measurements range from 1 to 4 measurements in different years. My problem is that I would need the LAST measurement. I only

> On 19 Feb 2018, at 12:25, Duncan Murdoch <murdoch.duncan at gmail.com <mailto:murdoch.duncan at gmail.com>> wrote: > > On 19/02/2018 5:47 AM, Michael Hannon wrote: >> Thanks, Duncan. The files in question are Emacs Org-mode files, and I >> think these are more or less isomorphic to Rmd files, but I haven't >> used Org-mode in a long time, so I think

Hi I have a table called npl containing results of simulations. It contains about 19000 entries and the structure looks like this: NoPlants sim run year DensPlants 1 6 lng_cs99_renosterbos 1 4 0.00192 . . . it has 43 different entries for sim and year goes from 1 to 100, and run from 1 to 5. I would like to calculate the mean of DensPlants for each