similar to: R Bug: write.table for matrix of more than 2, 147, 483, 648 elements

On 18/04/2018 5:08 PM, Tousey, Colton wrote: > Hello, > > I want to report a bug in R that is limiting my capabilities to export a matrix with write.csv or write.table with over 2,147,483,648 elements (C's int limit). I found this bug already reported about before: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17182. However, there appears to be no solution or fixes in upcoming

On 04/19/2018 02:06 AM, Duncan Murdoch wrote: > On 18/04/2018 5:08 PM, Tousey, Colton wrote: >> Hello, >> >> I want to report a bug in R that is limiting my capabilities to >> export a matrix with write.csv or write.table with over 2,147,483,648 >> elements (C's int limit). I found this bug already reported about >> before:

Hello, I want to report a bug in R that is limiting my capabilities to export a matrix with write.csv or write.table with over 2,147,483,648 elements (C's int limit). I found this bug already reported about before: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17182. However, there appears to be no solution or fixes in upcoming R version releases. The error message is coming from the

Le 19/04/2018 ? 09:30, Tomas Kalibera a ?crit?: > On 04/19/2018 02:06 AM, Duncan Murdoch wrote: >> On 18/04/2018 5:08 PM, Tousey, Colton wrote: >>> Hello, >>> >>> I want to report a bug in R that is limiting my capabilities to >>> export a matrix with write.csv or write.table with over >>> 2,147,483,648 elements (C's int limit). I found

On 04/19/2018 11:47 AM, Serguei Sokol wrote: > Le 19/04/2018 ? 09:30, Tomas Kalibera a ?crit?: >> On 04/19/2018 02:06 AM, Duncan Murdoch wrote: >>> On 18/04/2018 5:08 PM, Tousey, Colton wrote: >>>> Hello, >>>> >>>> I want to report a bug in R that is limiting my capabilities to >>>> export a matrix with write.csv or write.table

Dear Sirs. I am working with the R packages Hmisc and PredictABEL to make NRI estimates from my Cox models with and without a specific biomarker. According to Pencina et al (Statistics in Medicine 2010, DOI: 0.1002/sim.4085 ), a continuous/non-categorical NRI (NRI>0) is to be used when there are no obvious reason to categorize risk, such as the risk of future cardiovascular events in patients

Hi, I am trying to calculate net reclassification improvement (NRI) and Inegrated Discrimination Improvement (IDI) for a survival dataset to compare 2 risk models. It seems that the improveProb() in Hmisc package does this only for binary outcome, while rcorrp.cens() does take survival object, but doesn't output NRI or IDI. Can anyone suggest any other packages that can calculate NRI and IDI

Dear all, I am interested to evaluate reclassification using net reclassification improvement and Integrated Discrimination Index IDI after survival analysis (Cox proportional hazards using stcox). I search a R package or a R code that specifically addresses the categorical NRI for time-to-event data in the presence of censored observation and, if possible, at different follow-up time points. I

I would like to use grep to return all the lines of a data frame that do not contain the letters HD. I have tried the ^ inside brackets as well as !. The data frame is one column consisting of spaces,numbers, and letters with several thousand rows. Thank you! Colton [[alternative HTML version deleted]]

I am an intern in Virginia Beach and I am currently working on a project that involves converting a script of Pearl to R. The code takes one input text file and outputs six text files. If you think you can help, I will be able to provide more detailed information. Thank you for your time! Colton Hunt

As describe in the Hmisc package's improveProb function, that function is for binary Y. And it's best to use category-free methods. Frank Petergodsk wrote > Hi > > I'm new to R. > > Is it possible to use the improveProb function to generate categorybased > NRI using a Cox model? > I believe I saw someone mentioning the possibility, but I can't find the

Hello all and thanks, I have encoded several .vob with " ffmpeg2theoar -p preveiw " with no problems at all. The quality is exellent. These .vob were ripped with vobcopy. The problem I am having is when I encode a .vob with " ffmpeg2theora -p pro ". The resulting .ogg will not play correctly with vlc or kaffeine. The vedio is jerky and the sound go out of sycro just

Hi, I was wondering if I could use the matprod function from array.c in my own C routine. I tried the following as a test /* my_matprod.c */ # include <Rinternals.h> /* for REAL, SEXP etc */ # include <R_ext/Applic.h> /* array.c says need for dgemm */ /* following copied from array.c */ static void matprod(double *x, int nrx, int ncx, double *y, int nry, int ncy, double *z)

Le 19/04/2018 ? 12:15, Tomas Kalibera a ?crit?: > On 04/19/2018 11:47 AM, Serguei Sokol wrote: >> >> replace >> ??? tmp = EncodeElement2(x, i + j*nr, quote_col[j], qmethod, >> ??? ??? ??? ??? ??? &strBuf, sdec); >> by >> ??? tmp = EncodeElement2(VECTOR_ELT(x, (R_xlen_t)i + j*nr), 0, >> quote_col[j], qmethod, >> ??? ??? ??? ??? ???

Dear useRs, I am trying to import a raster with the line: nlcd <- raster("/home/jpolo/NRI/nlcd_nri5000.tif") And I keep getting an error like this: "Warning message: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE,? : ? there is no package called 'rgdal' Error in .rasterObjectFromFile(x, band = band, objecttype =

Hi Steven, Yes, both file systems are the same. rsync -nri --modify-window=1 <src> <dest> Gives me the following for most files >f..T....... 2015_167_1_1__Boy_What_A_Girl_R2/2015_167_1_1__Boy_What_A_Girl__UHD_DPX_R2/ BWAG_R2_00138428.dpx Although a few have >f..T......n 2015_167_1_1__Boy_What_A_Girl_R2/2015_167_1_1__Boy_What_A_Girl__UHD_DPX_R2/ BWAG_R2_00135909.dpx

Could someone tell me where i can download the latest version of SSLeay. I have tried the following sites: * <ftp://ftp.psy.uq.oz.au/pub/Crypto/SSL/> * <ftp://ftp.uni-mainz.de/pub/internet/security/ssl> * <ftp://ftp.cert.dfn.de/pub/tools/crypt/sslapps> * <ftp://ftp.funet.fi/pub/crypt/mirrors/ftp.psy.uq.oz.au> * <ftp://ftp.sunet.se/ftp/pub/security/tools/crypt/ssleay>

Greetings, I have generated several ROC curves and would like to compare the AUCs. The data are cross sectional and the outcomes are binary. I am testing which of several models provide the best discrimination. Would it be most appropriate to report AUC with 95% CI's? I have been looking in to the "net reclassification improvement" (see below for reference) but thus far I can only

Hi, The message "there is no package called 'rgdal'" means that you don't have rgdal installed. https://cran.r-project.org/web/packages/rgdal/index.html Also, you will get very good patial-centric help if you subscribed to r-sig-geo here https://stat.ethz.ch/mailman/listinfo/r-sig-geo Cheers, Ben > On Sep 6, 2017, at 2:52 PM, john polo <jpolo at mail.usf.edu>

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