similar to: Memory leakage from large lists

This looks like a case of FAQ 7.42: https://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-is-R-apparently-not-releasing-memory_003f On Mon, Jul 16, 2018 at 2:32 PM, Daniel Raduta <datudar at gmail.com> wrote: > Hello, > > I am experiencing a very noticeable memory leak when using large lists of > large data. The code below creates a list of matrices, yet the memory does > not

Hello, This just came up in SO, sessionInfo() at the end. https://stackoverflow.com/questions/50988018/seeking-explanation-for-as-date-function-in-r?noredirect=1#comment88971055_50988018 # example 1 # not even the month is right as.Date(x = 1, format = '%j', origin= '2015-01-01') #[1] "2018-07-21" # example 2a # nonsense output as.Date(x = 1, origin=

I have problem with integer overflow that I cannot understand. I have a character vector curr.lemmas with the following properties: length(curr.lemmas) # 61224 length(unique(curr.lemmas)) # 2652 That vector is the input to the following function: yules.k1 <- function(input) { m1 <- length(input); temp <- table(table(input)) m2 <- sum("*"(temp,

a) Numeric values may be either integers (signed 32 bit) or double precision (53 bit mantissa). b) Double precision constants are numeric with no decoration (e.g. 61224). Integer constants have an L (e.g. 61224L). c) 61224*61224 > 2^31-1 so that answer cannot fit into an integer. d) Exponentiation is a floating point operation so the result of 61224L^2L is a floating point answer that CAN

Hi all I recently started to write a matrix exponentiation operator for R (by adding a new operator definition to names.c, and adding the following code to arrays.c). It is not finished yet, but I would like to solicit some comments, as there are a few areas of R's internals that I am still feeling my way around. Firstly: 1) Would there be interest in adding a new operator %^% that performs

My parallel code is running slower than my non-parallel code! Can someone pls advise what am I doing wrong here? t and tTA are simple matrices of equal dimensions. #NON PARALLEL CODE nCols=ncol(t) nRows=nrow(t) tTA = matrix(nrow=nRows,ncol=nCols) require(TTR) system.time( for (i in 1:nCols) { x = t[,i] xROC = ROC(x) tTA[,i]=xROC } ) user system elapsed 123.24 0.07 123.47 #

Dear R Gurus, As you probably know, dist calculates the distance between every two rows of data. What I am interested in is the actual two rows that have the least distance between them, rather than the numerical value of the distance itself. For example, If the minimum distance in the following sample run is d[14], which is .3826119, and the rows are 4 & 6. I need to find a generic way to

I try to do single proportion test on my category data. Here is my R script: library("ctest") catSignifTest <- function( catFile ) { ############################################################### ## Get the data sets from text file catData <- read.table( catFile ) ncols <- length(catData) nrows <- length(catData[,1]) ncol1 <- ncols - 1 probeNbr

Hi everyone. I'm using matrix product such as : #Generate some data NCols = 5 NRows = 5 A = matrix(runif(NCols*NRows), ncol=NCols) B = matrix(runif(NCols*NRows), ncol=NCols) #First calculation R = A%*%B for(i in 1:100) { R = R%*%B } I would like to know if it was possible to avoid the loop by using something like mapply or anything else. Tx in advance, Phil -- View this message

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 all Two computers: one is my desktop PC, windows2000, R 1.9.1. Physical RAM 256MB, Swap (Virtual memory) 384Mb. When I allocate a large matrix, it firstly uses up RAM, then use swap space. In windows' task manager, the usage of memory could exceed my physic RAM's size. The other machine is a remote server. Windows XP, R 1.9.1 Physical RAM 2GB. Swap space 4GB. I use "R

Dear I am using the 'as.dendrogram' function from the 'stats' library to convert from an hclust object to a dendrogram with a dataset of size ~30000 (an example code is below). I need the dendrogram structure to use the "dendrapply" and "attributes" functions and to access the child nodes, I do not need any of the plot properties. The problem is that it

Hello, Could someone please tell if there is a way to append header info to the top of an exported dataframe (exported with write.table). I want to append the following, which are the defininitions for an asciigrid: ncols 532 nrows 999 xllcorner 510465 yllcorner 4766375 cellsize 30 NODATA_value -9999 Thanks very much, femke [[alternative HTML version deleted]]

Hi, I seem to be having a problem adding the following two raster objects together - one is a rasterLayer, the other is a rasterBrick. The extent, resolution, and origin are the same, so according to my understand it should work. The objects look like so: > obs.clim class : RasterLayer dimensions : 60, 200, 12000 (nrow, ncol, ncell) resolution : 0.5, 0.5 (x, y) extent : -70,

Hi, I'm no expert programmer at all; I'm running an R script ("mariam1_2.R"). This scripts calls another script, which contains an R function, which .Call some C code. It runs several times without any problem, but sometimes I get the error: ------- *** caught segfault *** address 0x1c404ec8, cause 'memory not mapped' Traceback: 1: .Call("rrfunc",

Dear all, I run R CMD build --compact-vignettes="both" gRbase and/or R CMD build --compact-vignettes="gs+qpdf" gRbase and in the log from r-devel (on winbuilder) I get * checking sizes of PDF files under 'inst/doc' ... WARNING 'gs+qpdf' made some significant size reductions: compacted 'gRbase-arrays.pdf' from 421Kb to 115Kb consider

Dear all, I run R CMD build --compact-vignettes="both" gRbase and/or R CMD build --compact-vignettes="gs+qpdf" gRbase and in the log from r-devel (on winbuilder) I get * checking sizes of PDF files under 'inst/doc' ... WARNING 'gs+qpdf' made some significant size reductions: compacted 'gRbase-arrays.pdf' from 421Kb to 115Kb consider

Printing a number does not show whether it is stored as a 32-bit integer or as a 64-bit floating point value. Use. e.g., str() or class() to see. > str(length(runif(3))) int 3 > str(length(runif(3)) + 1) num 4 > str(length(runif(3)) + 1L) int 4 > str( 3L * 3L ) int 9 > str( 3L ^ 2L ) num 9 You are right that various arithmetic operators map a pair of

I am pretty new to R. So this may be an easy question for most of you. ? I would like to calculate the squared distances of a large set (let's say 20000) of vectors (let's say dimension of 5) to a fixed vector. ? Say I have a data frame MY_VECTORS with 20000 rows and 5 columns, and one 5x1 vector y. I would like to efficiently calculate the squared distances?between each of the 20000

Hi, I wondered about the behavior described in the following stackoverflow question: https://stackoverflow.com/questions/20674538/mclapply-returns-null-randomly More specifically, I would like to know if you ever considered the suggestion made in the comments of the first answer, namely to somehow warn the user if one of the processes has been killed by the out-of-memory killer ? I am always