similar to: Problem with serialization via readRDS() on a textConnection()

Hi All, I had working code under R v3.2 that serialized an object, stored the serialized object in a database, and then successfully retrieved and hydrated that object. I recently updated to R v3.4.1 and the same code now fails. Here is the code in question (simplified), and the resulting error: > zz = textConnection('tempConnection', 'wb') > saveRDS(c("a",

Hi there Thanks for your answers. I didn't expect that this would be so complex. Honestly, I don't understand everything you wrote since I'm not an IT specialist. But I read something that reading *.rds files is faster than loading *.Rdata and I wanted to proof that for my system and R version. But thanks anyway for your time. Cheers Raphael > -----Urspr?ngliche Nachricht-----

Hi All, I think there is a memory error in the libcurl connection code that typically happens when libcurl reads big chunks of data. This potentially affects all code that use url() with the libcurl download method, which is the default in most builds. In practice it tends to happen more with HTTP/2 and if the connection is wrapped into a gzcon(). macOS Catalina has a libcurl build with HTTP/2

>>>>> Paul Murrell <paul at stat.auckland.ac.nz> >>>>> on Tue, 3 Apr 2018 09:41:56 +1200 writes: > Hi What you are doing "wrong" is loading a recordedplot > into the same session that it was created in. The > saveRDS()/readRDS() works if you save in one R session and > then read in a different R session. The

I hardly know anything about the format used in (non-compressed) serialization/RDS, but hoping someone with more knowledge could give me some feedback; Consider two R processes running in parallel on the same unknown file system. Both of them write and read to the same RDS file foo.rds (without compression) at random times using saveRDS(object, file="foo.rds", compress=FALSE) and

The documentation for recordPlot says the following: > As of R 3.3.0, it is possible (again) to replay a plot from another R session using, for example, saveRDS and readRDS. However, I haven't been able to save and restore a plot displaylist and have it work within the same R session, using R 3.4.3 or 3.3.3. Here's an example: # Save displaylist for a simple plot

Full_Name: Jeroen Jansen Version: 2.7.2 OS: Windows XP Pro Submission from: (NULL) (131.211.169.89) Allready with startup I get error message: R version 2.7.2 (2008-08-25) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type

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)

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,

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

Hi, I am running Ubuntu 10.10 and I have just installed R 2.14.0. When I try to install a package: install.packages("SPOT") it returns an error message: "Error in readRDS(file) : error reading from the connection". Also, when I try the command in R: update.packages(), it returns the same error message described previously. Any ideas? Regards, Monica [[alternative

Hello, I looked in the R-help but could not find an archive addressing the following. I would like to convert a character to numeric after reading a file with RDS extension. After using as.numeric, I checked if it is numeric. It was not converted. Please help. Here is my code >Report <- readRDS(file="RDS/Report.RDS") > Report[1:2,] dive_id date

Hi all, Is there any chance that readRDS and saveRDS might one day become read.rds and write.rds? That would make them more consistent with the other reading and writing functions. Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/

Cran task views seems to be a "once-per-session" process -- the first attempt to access views in a (RGui for Windows) session works, but subsequent attempts fail. There is a noticeably long pause before the failing call returns. Example session with two calls to "available.views" follows, but similar effects have been observed with two calls to "install.views" and

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Tue, 1 May 2018 16:14:43 +0200 writes: >>>>> G?bor Cs?rdi <csardi.gabor at gmail.com> >>>>> on Tue, 1 May 2018 12:05:32 +0000 writes: >> This is a not too old R-devel on Linux, it already fails >> in R 3.4.4, and on macOS as well.

Hola: Para el desarrollo del nuevo PluginR de Tiki (para poder ejecutar scripts de R desde Tiki: en páginas Wiki, hojas de cálculo web, etc, http://dev.tiki.org/PluginR ), por ahora estamos usando la lista de funciones que se usaban en el proyecto r-php, y que fueran heredadas por la extensión R de MediaWiki. Como r-php se hizo hace algunos años (2006), me pregunto si alguien sabe si hay

Hi all, I am trying to download, decompress and read a csv file. My code: myurl <- "ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE24729/GSE24729_MitoNuclear_suppl_male_stats.csv.gz" # myfile <- "GSE24729_MitoNuclear_suppl_male_stats.csv.gz" # download.file(myurl, destfile=myfile, mode="w") # mycon <- gzcon(gzfile(myfile,

Hi What you are doing "wrong" is loading a recordedplot into the same session that it was created in. The saveRDS()/readRDS() works if you save in one R session and then read in a different R session. The assumption is that if you are still in the same session that created the recordedplot you still have the recordedplot (e.g., you can just do replayPlot(r) instead of

Dear r-devel, I was surprised to see that saveRDS() and readRDS() work quite well with environments, see below: ``` z <- 3 # in global env y <- new.env() y$a <- 1 x <- new.env(parent = y) x$b <- 2 saveRDS(x, "x.RDS") # in a new session x <- readRDS("x.RDS") y <- parent.env(x) x$b #> [1] 2 y$a #> [1] 1 parent.env(y) #> <environment:

You need to study how reading files works in your operating system. This question is not about R. -- Sent from my phone. Please excuse my brevity. On August 22, 2017 5:53:09 AM PDT, raphael.felber at agroscope.admin.ch wrote: >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