similar to: R-beta: stable distribution and stable glm package

I currently use R0.61 to produce graphs for use in a tex document. I first type x11(orientation='portrait',width=4,height=3.5) to fix the size of my graph, produce some plot type commands, and then save the whole as an .eps file using save.plot(). The graph is included in the tex file using \epsffile{file.eps} in a figure environment. The problem is that the graph occupies a whole page

In R0.61, In hist(), should the line rel.freqs <- counts/(sum(x) * diff(breaks)) computing the relative frequencies or height of the rectangles in a histogram not be rel.freqs <- counts/(sum(counts) * diff(breaks)) instead, or do I misunderstand something? Thanks, Philippe -- -------------------------------------------------------- Philippe Lambert Tel:

Dear all, I am trying to use the rstable(n, alpha, beta, gamma = 1, delta = 0, pm = c(0, 1, 2))) function to generate positive stable random numbers. For positive stable distribution, beta==1 and alpha is in (0,1), which defines random variables with support (0, infinity). So, I used rstable(100, 0.5, 1) for an example. I found that this gives me some negative numbers. For example, >

Dear all, I am having difficulty interpreting the parameter estimates from the stablereg function. Specifically I am trying to keep things simple to start with by using stablereg to fit a normal distribution to a simulated data set from that distribution (in order to understand the way that stablereg reports parameter estimates). I cannot work out the scale on which the dispersion parameter (some

Hi everyone, when I use the two sample Kolmogorov¨CSmirnov ks2Test like this: x=read.table("e:/x.txt") y=rstable(1000,alpha,beta,gamma,delta) I alway get results as follows: Warning messages: 1: In ks.test(x = x, y = y, alternative = "two.sided") : cannot compute correct p-values with ties 2: In ks.test(x = x, y = y, exact = TRUE, alternative = "two.sided")

Dear Philippe, thank you for the ``stable'' package. I think we should include the four probability/RNG function into base R. [Maybe also the "stableglm" part (haven't yet looked at it), especially if it could be made to work with glm() and family().] Would this be okay with you? All of R base follows GNU Copyleft. But your contribution can also have your own

The function tapply is not working in the Windows version of R=20 (Version 0.50 Beta (Sept 29, 1997)) In tapply <- function (x, INDEX, FUN=3DNULL, simplify=3DTRUE, ...)=20 ... The part: if (simplify && all(unlist(lapply(ans, length)) =3D=3D 1)) { ans <- unlist(ans, recursive =3D FALSE) names(ans)<-namelist[[1]] return(ans) } should be replaced by if (simplify

Dear all, I have had the same problem as stated before, even with SUN's jdk installed, and therefore enable to install any of 'iplots', 'rJava' or 'JGR' packages. It seemed however that the R CMD javareconf couldn't catch the path of my actual jdk. The following worked for me by forcing the JAVA_HOME environment variable: env

On Wed, Nov 29, 2017 at 11:20 AM, Thierry Onkelinx <thierry.onkelinx at inbo.be> wrote: > Dear Larry, > > Have a look at https://github.com/inbo/rstable That is a dockerfile > with a stable version of R and a set of packages. Thank you very much. This is very useful to me. > 2017-11-29 15:28 GMT+01:00 Larry Martell <larry.martell at gmail.com>: >> I have a R

Dear Larry, Have a look at https://github.com/inbo/rstable That is a dockerfile with a stable version of R and a set of packages. Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance

Dear R developers: I am a PHD candidate student in the school of public health of Peking University and my major is genetic epidemiology. I am learning the FAM-MDR algorithm, which is used to detect the gene-gene and gene-environment interactions in the data of pedigree. The codes were written by Tom Cattaert of the University of Liege. The algorithms and the sample datasets are available at

I got some R code that I don't understand. Question as comment in code //where is t comming from, what is phi inverse rAC <- function(name, n, d, theta){ #generic function for Archimedean copula simulation illegalpar <- switch(name, clayton = (theta < 0), gumbel = (theta < 1), frank = (theta < 0), BB9 = ((theta[1] < 1) | (theta[2] < 0)), GIG = ((theta[2] < 0) |

Dear Krzysztof, I would suggest to have a look at Docker images. https://hub.docker.com/r/rocker/r-ver/ provides images for different versions of R. You could even create your own image with all the packages and other dependencies that you need. See e.g. our image at https://hub.docker.com/r/inbobmk/rstable/ Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid /

Hello, I need a specific version of R installed for consistency reasons. I do the standard setup steps: echo "deb https://cran.ma.imperial.ac.uk/bin/linux/ubuntu trusty/" | sudo tee -a /etc/apt/sources.list sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E084DAB9 sudo apt-get update And then a simple install call, which used to work just fine some time ago, tosses an

Dear group, does anybody know how to export libraries/functions to all nodes when launching snow? I want to use a function from fBasics (dstable) for a rGenoud optimization routine, but I fail "making the function accessible" to the nodes created. I know how it works for variables, I know how it works in snowfall(which cant be used in that case), but I dont know how it culd work in

I have a R script that I call from python using rpy2. It uses dplyr, doBy, and ggplot2. The script has install.packages commands for these 3 packages. Even thought the packages are already installed it still downloads, builds, and installs them, which is very time consuming. Is there a way to have it only do the install if the package is not already installed? Also, I run in a docker container,

Hi, I'm on ubuntu 11.04 with the Unity environment. I'd like to create a shortcut of an application in wine to the ubuntu menu, but it doesn't work. :( How can I do that ? Thanks a lot,

Hi guys Is there a way in R to simulate/generate random numbers from a negative skewed and fat tailed distribution ? I would like to simulate a set of (discrete) data. Regards, Carlos Carlos http://www.nabble.com/file/p25783889/graph.png graph.png -- View this message in context: http://www.nabble.com/Simulate-negative-skewed%2C-fat-tailed-distribution-tp25783889p25783889.html Sent from the

Hi all, I am a PhD student in sociology, studying in Essen, Germany. I am doing an empirical research with data on three (hierarchical) levels: Individuals within schools within regions. The data are very sparse with a lot of schools containing only one individual. In addition the dependent variable is dichotomous, so that a logistic regression would be appropriate. There are independent variables

HI, I need urgently garch and egarch models. After looking through the R mail archives I found http://www.egss.ulg.ac.be/garch/default.htm which is an Ox package. After downloading and installing it in R (Version 1.4.1 through the windows dialog "Packages") I received the following warning: install.packages("D:/benjamin/bartels/R/packages/garch22/garch_v22.zip",