similar to: Warning for data.table (with ref)?

I'm trying to learn data.table package but I get a following annoying error message: > install.packages("data.table") trying URL 'http://www.freestatistics.org/cran/bin/macosx/universal/contrib/2.10/data.table_1.2.tgz' Content type 'application/x-gzip' length 66823 bytes (65 Kb) opened URL ================================================== downloaded 65 Kb The

Dear all, For my package "ref" I have implemented extensive regression testing. It now fails to compile since primitives "dim" and "dimnames" (and their assignment methods) no longer allow for additional arguments. I was using an additional argument "ref" with several methods. For "].refdata" it still works, with "dim.refdata" no longer.

I found it easy to use R when typing data manually into it. Now I need to read data from a file, and I get the following errors: > refdata = > read.table("K:\\MerchantData\\RiskModel\\refund_distribution.csv", header > = TRUE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 42 elements > refdata = >

Dear all, I try to submit a library to CRAN but can't overcome the last R CMD CHECK. Can someone enlighten me how to put the \usage{} section for an S3-Method extractor defined as > args(get("[.refdata")) function (x, i = NULL, j = NULL, drop = FALSE, ref = FALSE) NULL I read the "Writing R Extensions" manual and know about \methods{generic}{class}, however I

The model.frame function has trouble with a certain type of really long formula. Here is a test: tname <- paste('var', 1:50, sep='') tmat <- matrix(rnorm(500), ncol=50, dimnames=list(NULL, tname)) tdata <- data.frame(tmat) temp1 <- paste( paste(tname, tname, sep='='), collapse=', ') temp2 <- paste("~1 + cbind(", temp1, ")")

Dear All, After upgrading to R-2.4.0-dapper2 (my system is ubuntu 6.06 LTS), I often met problems when loading some packages like Matrix. Here is the details: > library(Matrix) Error in loadNamespace(package, c(which.lib.loc, lib.loc), keep.source = keep.source) : in 'Matrix' methods specified for export, but none defined: Arith, Math, Math2, +, %*%, Schur, as.matrix, chol,

I'm resending this after a decent interval of 20 days -- any opinions? Should I file it as a bug report? Is it my mistake? cheers Ben Bolker -------- Original Message -------- Subject: buglet (?) in de.restore() Date: Tue, 21 Aug 2007 13:29:33 -0400 From: Ben Bolker <bolker at zoo.ufl.edu> To: r-devel at r-project.org If one calls data.entry() with a matrix: A =

Hi, table1D() below can be up to 60x faster than base::table() for the 1D case. Here are the detailed speedups compared to base::table(). o With a logical vector of length 5M: 11x faster (or more if 'useNA="always"') o With factor/integer/numeric/character of length 1M and 9 levels (or 9 distinct values for non-factors):

Reporting a possible inconsistency or bug in handling stringsAsFactors in as.data.frame.table() Here is a simple test > options()$stringsAsFactors [1] TRUE > x<-c("a","b","c","a","b") > d<-as.data.frame(table(x)) > d x Freq 1 a 2 2 b 2 3 c 1 > class(d$x) [1] "factor" >

Hi BioC user, I have a problem extracting the gene set I would like to work with. Here is I work with my data: normData <- read.delim("normalizedData.txt",sep ="\t") ######### two class unpaired comparison # y must take values 1,2 classes <- c(-1,-2,1,2) #prepere the data for the samr analysis data.x <-as.matrix(normData[,8:11]) d=list(x=data.x,y=classes,

Repeatedly people have asked how to pass arguments by reference in R. Now package "ref" is on CRAN, which provides two referencing methods: Functions ref(), deref() and friends conveniently allow to pass parameters "by reference" instead of "by value". This can be useful in memory critical applications but requires a more careful programming style to track the

Repeatedly people have asked how to pass arguments by reference in R. Now package "ref" is on CRAN, which provides two referencing methods: Functions ref(), deref() and friends conveniently allow to pass parameters "by reference" instead of "by value". This can be useful in memory critical applications but requires a more careful programming style to track the

Hello, colnames seems to be not optimized well for data.frame. It escapes processing for data.frame in if (is.data.frame(x) && do.NULL) return(names(x)) but only when do.NULL true. This makes huge difference when do.NULL false. Minimal edit to `colnames`: if (is.data.frame(x)) { nm <- names(x) if (do.NULL || !is.null(nm)) return(nm) else

Hello, all. I'm investigating the rate at which skeletal joint surfaces pass through a series of ordered stages (changes in morphology). Current statistical methods in this type of research use various logit or probit regression techniques (e.g., proportional odds logit/probit, forward/backward continuation ratio, or restricted/unrestricted cumulative probit). Data typically include the

Hello. I have yet to receive a response to my previous post, so I may have done a poor job asking the question. So, here is the general question: how can I run a run a multivariate (more than one non-independent, response variables) ordered probit regression model? I've had success doing this in the univariate case using the vglm() function in the VGAM package. For example:

I am having a puzzling problem with bloomberg connection. When i  run from R prompt some code that has .... library(Rbbg) conn <- blpConnect(throw.ticker.errors = FALSE) print("connected") ... I establish connection every time and then proceed to get data when i run this code from R prompt. However, when i run this from a batch script, i get the following error output from Rbbg:

Hi - Admittedly, this may not be the most sophisticated memory profiling performed, but when using unix's top command, I'm noticing a notable memory leak when using R with a large matrix that has dimnames set. To allow people to reproduce the problem I'm seeing, I've added a small (< 50 lines) code snippet at the end of this email. I'm seeing this

Hi - Admittedly, this may not be the most sophisticated memory profiling performed, but when using unix's top command, I'm noticing a notable memory leak when using R with a large matrix that has dimnames set. To allow people to reproduce the problem I'm seeing, I've added a small (< 50 lines) code snippet at the end of this email. I'm seeing this

Hi: When I call str() on an mlogit object, I seem to get warnings. This code is from an example provided in the mlogit documentation: library(mlogit) data("Train", package="mlogit") tr<-mlogit.data(Train, shape="wide", choice="choice", varying=4:11, sep="", alt.levels=c(1,2), id="id")

Hi, I have a big data frame: > mat <- matrix(rep(paste(letters, collapse=""), 5*300000), ncol=5) > dat <- as.data.frame(mat) and I need to do some computation on each row. Currently I'm doing this: > for (key in row.names(dat)) { row <- dat[key, ]; ... do some computation on row... } which could probably considered a very natural (and R'ish) way of