similar to: help.search(): "Error in .readRDS(hs_file) : error reading from connection" (PR#13591)

Full_Name: Don Maszle Version: 2.3.0 OS: x86_64-unknown-linux-gnu Submission from: (NULL) (206.86.87.3) # On our new 32 GB x86_64 machine R : Copyright 2006, The R Foundation for Statistical Computing Version 2.3.0 (2006-04-24) 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 'license()' or

Full_Name: Don Maszle Version: 1.7.0 OS: Linux Submission from: (NULL) (206.86.87.3) This was previously reported I believe as bug 1653. I just compiled 1.7.0 on RedHat Linux and I get terrible behavior when panel=plot. Browsing through the coplot code, I don't how there could be this dependency. With panel=points, my 7 graphs come out numbered as given 7 4 5 6 1 2 3 Using panel=plot the

Full_Name: Don Maszle Version: 2.3.0 OS: Solaris 9 - 64 bit compile Submission from: (NULL) (206.86.87.3) After closing an X11() window by either clicking on the close button or by calling dev.off(), R 2.3.0 segfaults as shown below. Calling layout() before any X11() device is opened just opens a new device and applies the layout. $ R R : Copyright 2006, The R Foundation for Statistical

(Sorry for not linking to your message; I accidentally deleted the original copy of your message.) Your code > zz = textConnection('tempConnection', 'wb') > saveRDS(c("a", "b", "c"), zz, ascii = TRUE) > serialized_obj = paste(textConnectionValue(zz), collapse='\n') > readRDS(textConnection(serialized_obj)) Error in

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

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:

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",

On 4/16/2009 4:50 AM, j.w.a.jansen at uu.nl wrote: > 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) That version is not current, but it looks to me as though you've corrupted a file on your system. It would be named

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

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

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

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

>>>>> 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

On Wed, 31-May-2017 at 10:05AM -0400, Martin Morgan wrote: |> On 05/31/2017 04:38 AM, Patrick Connolly wrote: |> >When I check out those directories in a terminal, there's a big diffrence: |> > |> >With R-3.4.0 |> >~ > ll /tmp/RtmpFUhtpY |> >total 4 |> >drwxr-xr-x 2 hrapgc hrapgc 4096 May 31 10:45 downloaded_packages/ |> >-rw-r--r-- 1 hrapgc

The ratio of object size to rds file size depends on the object. Some variation is due to how header information is stored in memory and in the file but I suspect most is due to how compression works (e.g., a vector of repeated values can be compressed into a smaller file than a bunch of random bytes). f <- function (data, ...) { force(data) tf <- tempfile()

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/

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)

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

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,