similar to: R 2.0.0: namespaces, S4 classes & versioned package installation: failure to resolve correct pkg version

Hallo! Does anybody know how to calculate a sample size estimation for proportions with continuity correction? ? I only found EpiR which seems to calculate without continuity correction: library(epiR) epi.studysize(treat = .65, control = .50, n = NA, sigma = NA, power = 0.80, r = 1, conf.level = 0.95, sided.test = 2, method = "cohort") $n [1] 340 Thanks! Karl

Hello R developers, installing R 2.0.0 from source on a Linux Debian system (gcc 3.2.2) - which worked just fine - I encountered the following problem when trying to update/install packages with the option --with-package-versions: example: RUnit 0.4.0 (also on CRAN) R20 CMD INSTALL -l /mnt/local/R/R-2.0.x-libs-EpiR --with-package-versions RUnit_0.4.0.tar.gz or after untaring R20 CMD INSTALL

Hi, I wonder whether a package with namespace & dynamic library can be installed with the version number attached, ie. with the argument --with-package-versions. Is this currently possible? Using R 1.9.1 on Debian 3.0 I encounter a problem when trying to load a package installed with R91 CMD INSTALL --with-package-versions -l /mnt/local/R/R-1.9.x-libs-EpiR RIO in R started with R91

Hi All We are currently testing our product using KVM as the hypervisor. We are not using KVM as a bare-metal hypervisor. We use it on top of a RHEL installation. So basically RHEL acts as our host and using KVM we deploy guests on this system. We have all along tested and shipped our application image for VMware ESXi installations , So this it the first time we are trying our application

This is a really simple question, I'm sure,but I can't make EpiR work! I keep getting the following: > epi.2by2(47, 263483, 282, 935028, method="cohort.time", conf.level=0.95) Error in epi.2by2(47, 263483, 282, 935028, method = "cohort.time", conf.level = 0.95) : unused argument(s) (935028) and I really don't know why!. Any ideas very very welcome thank

I would like to compare the incidence rates of three groups. They are supposed to have different risks so I would like to test whether there is a increasing trend in the incidence rates. Does R or any packages provide a trend test for incidence rates? I checked epiR and epitools. It seems they do not have this function. Thank you for the help. -- View this message in context:

Hi, since a couple of days ago I see failures when using R CMD INSTALL -l lib path-to-src/pkg.tar.gz This occurs in automated library updating via a shell script and is caused by the immediate preceding call to leave an 00LOCK folder even though the package installation of that call succeeded. This occurs at random (no obvious/systematic correlation to package name or or such) and only for

Hi everybody, I'm trying to create a numerical data frame on which to perform PRCC. So far I have created a data frame that consists of function/vector output that displays in numerical form, but when I try and run PRCC (from epiR package) I get the following error message: "Error in solve.default(C) : Lapack routine dgesv: system is exactly singular" It appears this is because

Hi, I am new to bioconductor, trying to install KEGGSOAP package, but got warnings() when installing and error message when trying to load the package, can anyone suggest what went wrong? many thanks John > source("http://bioconductor.org/biocLite.R") Bioconductor version 2.11 (BiocInstaller 1.8.3), ?biocLite for help > biocLite("KEGGSOAP") BioC_mirror:

Hi all, I am trying to convert geometric means in a matrix to cover classes. My values are as such: perc<-c(0,0.025136418, 0.316227766, 1.414213562,3.16227766, 7.071067812, 15.8113883, 35.35533906, 61.23724357, 84.40971508, 97.46794345) cover<-c(0,1,2,3,4,5,6,7,8,9,10) This is what I am trying to accomplish veg_mean[veg_mean>0 && veg_mean < .1] <- 1

Hi, I recently updated to R 3.0.1. I'm running linux ubuntu 12.04. I realized that I have to update all the installed packages so I run > update.packages(checkBuilt=TRUE) as described here http://www.r-bloggers.com/r-3-0-0-is-released-whats-new-and-how-to-upgrade/ . The first thing it did was telling me that it will not update several packages. When it was finished I used the warnings

A new package 'epiR' is available on CRAN. Package description as follows: Package: epiR Version: 0.9-3 Date: 2008-03-24 Title: Functions for analysing epidemiological data Author: Mark Stevenson <M.Stevenson at massey.ac.nz> with contributions from Telmo Nunes, Javier Sanchez, and Ron Thornton. Maintainer: Mark Stevenson <M.Stevenson at massey.ac.nz> Description: A package

A new package 'epiR' is available on CRAN. Package description as follows: Package: epiR Version: 0.9-3 Date: 2008-03-24 Title: Functions for analysing epidemiological data Author: Mark Stevenson <M.Stevenson at massey.ac.nz> with contributions from Telmo Nunes, Javier Sanchez, and Ron Thornton. Maintainer: Mark Stevenson <M.Stevenson at massey.ac.nz> Description: A package

Dear all, We are analysing some survey data and we are not sure if we are using the correct syntax for our design. The population of interest is a set of 4416 polygons with different sizes ranging from 0.003 to 45.6 ha, 7460 ha in total. Each polygon has a binary attribute (presence/absence) and we want to estimate the probability of presence in the population. We used sampling with replacement

Hi all, I want to know how to perform the test Breslow-Day test for homogeneity of odds ratios (OR) stratified for svytable. This test is obtained with the following code: epi.2by2 (dat = daty, method = "case.control" conf.level = 0.95, units = 100, homogeneity = "breslow.day", verbose = TRUE) where "daty" is the object type table svytable consider it, but

Hi everyone, I emailed yesterday thinking I had a problem with reading matrix information as numerical output into epiR. After working on the data frame today, I realise it's a problem with the data itself rather than the syntax. An original data frame of min max T1 1.500000e+01 3.999954e+01 SE1 0.000000e+00 1.000000e+00 PRE

Hi. I have data which i would want to assess the degree of agreement between two assays, e.g., to evaluate reproducibility or for inter-rater reliability. I have used the Pearson product-moment correlation coefficient. It looks good ranginging between 0.90 to 0.998. Though this looks good. I am told the Concordance correlation coefficient will give a better picture of how reproducible the assay

R programming question, not machine learning, although that's the content. Apologies to all for whom the following code is eye-burning. I am using foreach() to run a simulation on a randomForest model (actually conditional randomForest ... "party" package). The simulation is in two dimensions. examining how "mtry" and "ntrees" are related in terms of predictive

bonjour à toutes et à tous, d''abord désolé de ne pas parler/lire/comprendre l''américain/l''anglais, ce qui fait que j''ai beaucoup de mal à comprendre la doc par exemple. j''ai un souci d''utilisation de WXRuby avec SCIntilla, dans le cas d''un HTML + Javascript. je suis parti bien entendu de l''exemple scintilla.rb

Hi all, Does this work for anyone out there? I've never gotten it to work: (the set up is Samba as a member of an Active Directory run by Windows servers.) -------------- 1. Pick an NT group that's been there since you installed Samba, and of which you are a member. I'll call it DOMAIN\Oldgroup. 2. Run "chgrp DOMAIN\\Oldgroup test" then "chmod g+w,o-w