search for: hoeffding

Full_Name: Charles Dupont Version: Version 2.3.1 OS: linux Submission from: (NULL) (160.129.129.136) I think that this is infinite. I let it run for 30 minutes. During which it consumed 98% of my memory (1Gb) and steadily helled 90-99% of CPU. Steps to reproduce problem 1. get a source package e.g. Hmisc. 2. $ echo "library(Hmisc)" > Hmisc/R/test.R 3. $ R CMD INSTALL -d -l

Hello, I'm trying to install a package that requires a Fortran compiler (Hmisc) using R CMD INSTALL. I downloaded the package source onto my Desktop, unzipped it, and then typed: R CMD INSTALL /Users/brianbeckage/Desktop/Hmisc * Installing *source* package 'Hmisc' ... ** libs g77 -fno-common -g -O2 -c cidxcn.f -o cidxcn.o g77 -fno-common -g -O2 -c cidxcp.f -o cidxcp.o g77

I am running Ubuntu 7.10 and R-2.6.0, and I am having trouble updating packages. There appears to be a problem involving gfortran. For example, here is the output of an attempt to update the Hmisc package. * Installing *source* package 'Hmisc' ... ** libs gfortran -fpic -g -O2 -c cidxcn.f -o cidxcn.o gfortran -fpic -g -O2 -c cidxcp.f -o cidxcp.o gfortran -fpic -g -O2 -c

Hi, I've recently purchased PowerBookG4 (panther) and installed RAqua 1.8.1. I also installed gcc version 3.3 through Xcode tools. But, for some reason, I'm having a hard time getting gcc work with R. For example, I get the following error while installing Hmisc package. I would appreciate any suggestion to fix this problem. Thanks Kosuke * Installing *source* package

Frank Harrell suggested I re-post with information about the version of R Heres's the information: > > version > _ > platform powerpc-apple-darwin6.8 > arch powerpc > os darwin6.8 > system powerpc, darwin6.8 > status > major 2 > minor 0.1 > year 2004 > month 11 > day 15 > language R Here's what happens

Hi: We're trying to install the Hmisc package on a Solaris 9 machine. Here's what we get: R CMD INSTALL /usr/local/srctree/Hmisc_3.4-2.tar.gz * Installing to library '/usr/local/lib/R/library' * Installing *source* package 'Hmisc' ... ** libs g95 -fPIC -g -O2 -c cidxcn.f -o cidxcn.o g95 -fPIC -g -O2 -c cidxcp.f -o cidxcp.o g95 -fPIC -g -O2 -c hoeffd.f -o

Dear R users I am trying to install F. Harrell's Hmisc and Design packages for R 1.5.0. (Linux mandrake 8.2 build), but when using "R CMD INSTALL" I get the following error: R CMD INSTALL Hmisc_1.0-1.tar.gz *Installing *source* package 'Hmisc' ... ** libs g77 -fPIC -g -02 -c cidxcn.f -o cidxcn.o g77 -fPIC -g -02 -c cidxcp.f -o cidxcp.o g77 -fPIC -g -02 -c

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi. I am trying to install Hmisc from source on MacOS 10.4.2, using the R for Mac OS X Aqua GUI 1.12. I have installed g77(using Fink). I am using the Package installer provided by the GUI, and this is the output I obtain: * Installing *source* package 'Hmisc' ... ** libs g77 -fno-common -g -O2 -c cidxcn.f -o cidxcn.o g77 -fno-common -g

Hello, I need to plot multiple confidence intervals for the same model parameter e.g. so for the same value of the parameter in point x_1 I would like to see four different confidence intervals so that I can compare the accuracy e.g. boot basic vs normal vs my own vs classic lm CI etc. I like very very much the plotCI implemented here: http://cran.r-project.org/web/packages/plotrix/index.html

Kindly cc me when replying to the list. trying URL 'http://www.biometrics.mtu.edu/CRAN/src/contrib/Hmisc_3.0-6.tar.gz' Content type 'application/x-gzip' length 462535 bytes opened URL ================================================== downloaded 451Kb * Installing *source* package 'Hmisc' ... ** libs g77 -fno-common -g -O2 -c cidxcn.f -o cidxcn.o g77 -fno-common

Dear List What is the R package equivalent of Proc Varclus or Information Value. ANy assistance in determining R equivalents of f Oblique Component Analysis (PROC VARCLUS), Information Value (IV) and Weight Of Evidence (WOE) analysis, and business intelligence http://www.nesug.org/proceedings/nesug06/an/da23.pdf Regards, Ajay Websites- http://decisionstats.com [[alternative HTML version

I am running Linux Mandrake 7.2 with the following: platform i586-pc-linux-gnu arch i586 os linux-gnu system i586, linux-gnu status major 1 minor 2.3 year 2001 month 04 day 26 language R To build a package I ran R CMD build Hmisc, apparently with success: * checking for file `Hmisc/DESCRIPTION' ... OK * preparing `Hmisc': * cleaning src * checking

I upgraded my system to Fedora Core 7 and got a compilation problem when installing Hmisc package. According to the error messages (shown below), I have tried to updated all of my glibc, gcc, automake rpm packages, but that did not help. Could you help me pointed out what package I have missed? Thank you. > version _ platform i386-redhat-linux-gnu arch i386 os linux-gnu system i386, linux-gnu

Several updates have been made to the Hmisc package: Changes in version 3.16-0 (2015-04-25) * html.contents.data.frame: corrected html space character to add semicolon * ggplot.summaryP: added size of points according to denominators * colorFacet: new function * labelPlotmath: added chexpr argument (used by rms::ggplot.Predict) * rcsplineFunction: added

Several updates have been made to the Hmisc package: Changes in version 3.16-0 (2015-04-25) * html.contents.data.frame: corrected html space character to add semicolon * ggplot.summaryP: added size of points according to denominators * colorFacet: new function * labelPlotmath: added chexpr argument (used by rms::ggplot.Predict) * rcsplineFunction: added

Dear R users: is there a package, similar to varclus in SAS or varclus in S, ported or written for R? Also, is there any other package in R that was designed for grouping the variables under different measures of distance (in cases where data is non-Gaussian, autocorrelated, and so on). Janusz. -- ** Janusz Kawczak ** ** UNC at Charlotte,

I frequently use hclust on a similarity matrix. In R only a distance matrix is allowed. Is there a simple reliable transformation of a similarity matrix that will result in a distance matrix making hclust work the same as S-Plus with a similarity matrix? Venables & Ripley 3rd edition implies that a simple reversal of values will suffice. Thanks -Frank -- Frank E Harrell Jr