similar to: sort.int(S3object) strips class but not the is.object flag

I have a test directory for the survival suite, and dyn.load has ceased to work in it. Below shows the log: tmt1075% R --vanilla R version 2.12.2 (2011-02-25) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-unknown-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain

Hi, I started playing around with a function for using StatTransfer (version 10) for importing data. This started as a simple task but it's not working and so now I'm very frustrated. I'm using R version 2.13 on Windows 7. The function, called fn.importData, is: function(file = NULL, type = NULL){ ## ## create statTransfer command file -

(a) In R 2.12.2 rowsum can overflow if given an integer input: > rowsum(c(2e9L, 2e9L), c("a", "a")) [,1] a -294967296 > 2^32 + .Last.value [,1] a 4e+09 Should it be changed to coerce its x argument to numeric (double precision) so it always returns a numeric output? (b) When rowsum is given an x containing both NaN and NA it appears to use the last

Another solution is to only save the parts of the model object that interest you. As long as they don't include the formula (which is what drags along the environment it was created in), you will save space. E.g., tfun2 <- function(subset) { junk <- 1:1e6 list(subset=subset, lm(Sepal.Length ~ Sepal.Width, data=iris, subset=subset)$coef) } saveSize(tfun2(1:4)) #[1] 152 Bill

In the below, I generate a model from an environment that isn't .GlobalEnv with a large object that is unrelated to the model generation. It seems to save the irrelevant object unnecessarily. In my actual use case, I am running and saving many models in a loop that each use a single large data.frame (that gets collapsed into a small data.frame for estimation), so removing it isn't an

Note that if you force a garbage collection each iteration the times are more stable. However, on the average it is faster to let the garbage collector decide when to leap into action. mb_gc <- microbenchmark::microbenchmark(gc(), { x <- as.list(sin(1:5e5)); x <- unlist(x) / cos(1:5e5) ; sum(x) }, times=1000, control=list(order="inorder")) with(mb_gc,

Previously, the R software was perfectly run without error and I am not sure why this happens. I have not installed any new R. If the *RData file is the problem, what should I do? Thank you On Fri, Mar 23, 2018 at 7:58 AM, William Dunlap <wdunlap at tibco.com> wrote: > You haven't given much context, but these error message can come from > load() when loading a *.RData file that

Dear all I was thinking about efficient reading data into R and tried several ways to test if load(file.Rdata) or readRDS(file.rds) is faster. The files file.Rdata and file.rds contain the same data, the first created with save(d, ' file.Rdata', compress=F) and the second with saveRDS(d, ' file.rds', compress=F). First I used the function microbenchmark() and was a astonished

The large value for maximum time may be due to garbage collection, which happens periodically. E.g., try the following, where the unlist(as.list()) creates a lot of garbage. I get a very large time every 102 or 51 iterations and a moderately large time more often mb <- microbenchmark::microbenchmark({ x <- as.list(sin(1:5e5)); x <- unlist(x) / cos(1:5e5) ; sum(x) }, times=1000)

Dear all May I know how to solve this problem? I have encountered this problem after I have logged out from Rstudio. Thank you Warning: namespace ?caret? is not available and has been replaced by .GlobalEnv when processing object ?fit.ann? Warning: namespace ?ggplot2? is not available and has been replaced by .GlobalEnv when processing object ?p1? Warning: namespace ?plotly? is not available and

You haven't given much context, but these error message can come from load() when loading a *.RData file that contains objects reference packages not installed in the current installation of R. When R starts it will load a ".RData" file if one exists, this file is typically created when R shuts down and you ask it to save the current session. If you recently upgraded R you the

Hi all, I made sure that it's "env$sRes1$nPositionsOptimizedM" that's correct... not the "env$sRes1$nPositionsOptimized"... But it seems both point to the same memory area... This is very dangerous because I have used naming conventions such as: MyLongVariableNameForA MyLongVariableNameForB MyLongVariableNameForC ... ... Then if internally they are actually the

I have a standard Paperclip setup that saves a file to my disk. In addition I would also like the file saved to my amazon s3 bucket. [code] after_save :copy_to_s3 def copy_to_s3 has_attached_file :photo, :storage => :s3, :s3_credentials => "#{RAILS_ROOT}/config/s3.yml", :styles => { :thumb => "100x100#", :small => "750x750>"

Prior to R-3.6.0 the keys in the lazyload key files, e.g. pkg/data/Rdata.rdx or pkg/R/pkg.rdx, seemed to all be 2-long integer vectors. Now they can be lists. The ones I have seen have two components, "eagerKey" is a 2-long integer vector and "lazyKeys" is a named list of 2-long integer vectors. > rdx <- readRDS(system.file(package="survival",

Dear list, I just recently installed R-2.13.0 on my Windows7. I used to run R-2.10.0. First of all, I used to be able to install R in English (in R-2.10.0) during the installation procedure. My PC is in a Japanese environment but I want R to be in English because I won't be able to interpret any errors if they are in Japanese (I am Japanese so I can read them but I won't be able to

>>>>> Michael Lawrence <lawrence.michael at gene.com> >>>>> on Wed, 18 Apr 2018 14:16:37 -0700 writes: > Hi Bill, > Ideally, your coworker would just make an alias (or shortcut or > whatever) for R that passed --no-save to R. I'll try to look into this > though. > Michael Yes, indeed! As some of you know, I've

Hello. Is there a package or functionality available somewhere which will allow for complex searches (such as what SQL can do) of collections of RData files? Search capability within a given RData file at a time (which could be put in a loop) would be good, but the capability to perform joins to data across multiple RData files would be great. These queries might be ad-hoc, so writing an R program

Cordial saludo. Estoy instalando la nueva version de R (2.12.2), esta version me instala bien pero cuando voy a abrir R me aparece un error que dice "imposible restaurar los datos en .RData" alguien me puede ayudar ? ANDRÉS FELIPE FLÓREZ RIVERA UNIVERSIDAD NACIONAL DE COLOMBIA ESTADISTICA 2010 [[alternative HTML version deleted]]

> is.na(strptime("5/2/1992", format="%m/%d/%Y")) [1] FALSE > is.na(strptime("5/3/1992", format="%m/%d/%Y")) [1] TRUE Any idea what's going on with this? Running strptime against all dates from around 1946, only 5/3/1992 was converted as "NA". Even stranger, it still seems to have a value associated with it (even though is.na thinks

Hi! I'm running R version 2.13.0 (2011-04-13) Platform: i386-pc-mingw32/i386 (32-bit) When i type in the command: sum(c(-0.2, 0.8, 0.8, -3.2, 1.8)) R returns the value: -5.551115e-17 Why doesn't R return zero in this case? There shouldn't be any rounding error in a simple sum. Thanks, Mark