search for: rcauchi

Hello, I'm taking samples from certain distributions and drawing a density distribution over the histogram of the samples It works fine for the chi-square and for the normal, but not for the cauchy. Any idea what I'm doing wrong? Thanks x <- rchisq(10000, df = 4) hist(x, freq = FALSE, breaks=100) curve(dchisq(x, df = 4), col = 2, add = TRUE) x <- rnorm(10000) hist(x, freq =

Hi, I have the following R-code: pdf(file="test.pdf") hist(rcauchy(100)) dev.off() How can I set the size of the histogram in my pdf? I tried to do with par(...) but I didn't find the right parameter yet. Thanks, Max -- View this message in context: http://www.nabble.com/set-size-of-a-plot-tp22477083p22477083.html Sent from the R help mailing list archive at Nabble.com.

Hi R-users, Recently, I use maxNR function to find maximizer. I have error appears as follows Error in maxNRCompute(fn = fn, grad = grad, hess = hess, start = start, : NA in the initial gradient My code is mu=2 s=1 n=300 library(maxLik) set.seed(1004) x<-rcauchy(n,mu,s) loglik<-function(mu) { log(prod(dcauchy(x,mu,s))) } maxNR(loglik,start=median(x))$estimate Does anyone know how

Dear list, I would like to generate random numbers from a Voigt distribution, hopefully in a way as simple as getting random numbers from a normal distribution with 'rnorm'. Is there any package to do this? Speed is an issue in this application. Or, as the Voigt distribution is a convolution of a Gaussian and a Lorentzian, can I simply combine random numbers from rnorm and rcauchy in some

Hi, I'd like to know if there's anything in R that could help me do that. Let's suppose I have a density function of a random variable, for example f(x) = (x^3)/4 0 < x < 2 and I would like to simulate it. For the common distributions (exponencial, gamma, cauchy) there are the r-functions (rgamma, rexp, runif, rcauchy, and so on).. But when the variable I want to simulate is not

Full_Name: Ray Kiddy Version: R 2.5.0 GUI 1.19 (4308) OS: Mac OS X 10.4.9 Submission from: (NULL) (71.139.33.60) There is no section in the FAQ equivalent to "Using R". The "R Basics" is too basic. I would say it addresses "meta-R" questions, such as installing. I had a FAQ that I would think would be a basic "Using R" question, namely: "How does

Hello, It might be an easy question but if you have many variables to fit in the lm function, how do you take all without specifying var1+var2+...+var2100 in the terms parameter in response ~ terms? Cheers, Carol

On a recent FreeBSD 8.0-CURRENT (i386) building R (any version) breaks with the following messages: ---------------------------------------------------------------------- [...snip...] gcc -std=gnu99 -I. -I../../src/include -I../../src/include -I/usr/local/include -DHAVE_CONFIG_H -g -O2 -c wilcox.c -o wilcox.o gcc -std=gnu99 -I. -I../../src/include -I../../src/include -I/usr/local/include

I want to estimate the center of a distribution with lots of outliers in one tail, and thought I would use a function such as S-plus's location.m() with psi.fun=bisquare (as per MASS 3 p. 131). However, R seems not have such a function, so my questions are: 1) Is there an R equivalent to location.m()? 2) Would huber() give me results that are similar (i.e., close enough)? Thanks.

Folks, I wonder if anything could be said about the distribution of a random variate x, where x = N(0,1)/N(0,1) Obviously x is pathological because it could be 0/0. If we exclude this point, so the set is {x/(0/0)}, does x have a well defined distribution? or does it exist a distribution that approximates x. (The case could be generalized of course to N(mu1, sigma1)/N(mu2, sigma2) and one

Hi! I have just downloaded the R-0.60.1 sources and have problems compiling R on a Sun Ultra 1 running Solaris 2.6 and gcc 2.7.2.1. I have not been able to find to find any compiling hints in the documentation or the FAQ. After ./configure I use make and get the output below. Any hints are welcome. I am not on the list, so please answer me directly too. Best regards Jens --- Jens Lund

Dear R-Help group: I have been tinkering with how I want my personal standard library functions to look like. They are not designed to be professional and heavyweight, but lightweight. There are probably dozens of little bugs, because I don't know or have not properly taken care of a variety of internal R code issues. still, I like how this ended up, and there is no learning curve, so I

Hello, Can you get eigenvalues in addition to eigevectors using prcomp? If so how? I am unable to use princomp due to small sample sizes. Thank you in advance for your help! Rebecca Young -- Rebecca Young Graduate Student Ecology & Evolutionary Biology, Badyaev Lab University of Arizona 1041 E Lowell Tucson, AZ 85721-0088 Office: 425BSW rlyoung at email.arizona.edu (520) 621-4005

Hi all, I am trying hard to do the following and have already spent a few hours in vain: I wanted to do the scatter plot. But given the high dispersion on those dots, I would like to bin the x-axis and then for each bin of the x-axis, plot the quantiles of the y-values of the data points in each bin: 1. Uniform bin size on the x-axis; 2. Equal number of observations in each bin; How to do

Dear R-users, Following is part of my data, where slide has 36 levels and block 48 levels. I have done boxplot for each slide on the same graph. There are outliers for each slide and I tried to use indentify functtion to identify outliers in such a way that when I click on an outlier or point, the points will be labelled by either their block or ID or by both but without success. How can I make

I would be very grateful for any help from members of this list for what might be a simple problem... We are trying to simulate the behaviour of a clinical measurement in a series of computer experiments. This is simple enough to do in R if we assume the measurements to be Gaussian, but their empirical distribution has a much higher peak at the mean and the distribution has much longer tails.

Hi again ! Thanks for the info on updating the config.site file which I have done. I have also added -lm in the Makeconf manually because this is needed explicitly for DEC cc. However, there are still a few problems when linking some of the files as you can see from the enclosed log. Ciao, Andreas ------------------------------------------------------- R-0.63.3>make make[1]: Entering

Hi, Just downloaded the R-0.62.4 of R and tried to install it. With the standard procedure : ./configure make At the end of the compilation I got the following message : ld: ../lib/libunix.a(system.o): main: multiply defined fort: Severe: Failed while trying to link. *** Exit 1 Stop. *** Exit 1 Stop. *** Exit 1 Stop. *** Exit 1 Stop. I attach the printout after the ./configure and make

This is a multipart MIME message. --==_Exmh_981436288450 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Hi ! I have problems compiling R successfully on a DEC-UINX 4.0E. I have applied the recommended config.site, which I enclose. As can be seen from the compilation log there are linking errors... I did a 'make check' which fails for the R

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik