similar to: install.packages(): About an option for installing archived versions

On 06/06/2020 3:04 a.m., Patrick Schratz wrote: > Dear list, > > Various helpers exist in the wild to install older archived versions of > CRAN packages, for example `remotes::install_version() ` or > `versions::install.version()`. > The former makes use of an ?archive.rds? file stored in the CRAN > /Meta directory: >

Dear members, I can't install "nser" package. It is not in cran but install_version and install_github both are not working: > install_version("nser",version = "1.4.0") Downloading package from url: https://cran.rstudio.com//src/contrib/Archive/nser/nser_1.4.0.tar.gz These packages have more recent versions available. It is

It says that nser requires the most recent version of magrittr that you do not have installed. You must update magrittr before attempting to install nser: update.packages(oldPkgs = "magrittr") or at the prompt you were presented before, choose to update magrittr before installing nser. On Sun, Apr 9, 2023, 17:55 akshay kulkarni <akshay_e4 at hotmail.com> wrote: > Dear

CRAN, by relying on the powerful package management system that is part of R, provides an unparalleled framework for extending R with nearly 20k packages. We recently encountered an issue that highlights a missing element in the otherwise outstanding package management system. So we would like to start a discussion about enhancing its feature set. As shown below, a mechanism to force

Hola, me estoy crispando con un tema que no es la primera vez que he resuelto pero (extraamente) ahora no puedo resolver. Estoy instalando un paquete que no est disponible en la versin 4 de R: packageurl <- "http://cas.uqam.ca/pub/R/bin/macosx/el-capitan/contrib/3.6/CASdatasets_1.0-10.tgz" install.packages(packageurl, repos = NULL, dependencies = TRUE, type="source")

Hola, cuando ejecuto Rmarkdown los gráficos plotly no salen. No hay ningún error pero en el resultado final no se obtiene nada. Si ejecuto plotly desde R los gráficos primero salen en blanco y es necesario "recargar" para poderlo ver, si lo inspeccionas no sale nada. El equipo en el que me pasa esto es: platform x86_64-w64-mingw32 arch x86_64 os mingw32

Hi, I am dealing with very large datasets and it takes a long time to save a workspace image. The options to save compressed data are: "gzip", "bzip2" or "xz", the default being gzip. I wonder if it's possible to include the pbzip2 (http://compression.ca/pbzip2/) algorithm as an option when saving. "PBZIP2 is a parallel implementation of the bzip2

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

Hi there, I faced a weird problem doing a seemingly simple task in R. Specifically, when trying for reading an RDS file from the working directory, the following error is appeared. Code: records <- readRDS("tweets.rds") Error: Error in readRDS("tweets.rds") : error reading from connection In addition: Warning message: In readRDS("tweets.rds") : invalid or

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

Ok, so this is not a users-list, but i really don't know where to ask. Maybe a future openssh-unix-users at mindrot.org will take this kind of problems... :-) So, i'm trying to forward a POP3 connection over a SSH tunnel, using openssh-1.2.3 both on server and on client. My host is atlanta.rds.ro and the mailserver is mail.rds.ro. I did like this: ssh -L 110:mail.rds.ro:110 mail.rds.ro

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/

Hi everybody, I have trouble installing my own package under R 2.1.0 (it is fine under R 2.0.1). My OS is Windows NT. I installed my package 'mag' by using menu "Packages/Install package from local zip files....". It's fine (html package description was updated). But when I typed in library(mag) it gave me error: Error in library(mag) : there is no package called

I ran into this behaviour when accidentally running a line of code that I shouldn't have. When saving over an rds with an object that's not found, I would have expected saveRDS to not touch the file. saveRDS(iris, "test.rds") file.size("test.rds") #> [1] 1080 saveRDS(no_object_here, "test.rds") #> Error in saveRDS(no_object_here, "test.rds"):

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

Each RDS is 40 MBs. What's a slick code to compare them row by row, IDing row numbers with mismatches? Thanks in advance. //

I've tried to re-experiment the tutorial presented at http://www.rdatamining.com/docs/twitter-analysis-with-r and specifically aimed to use rds files (tweet records) at http://www.rdatamining.com/data/. On Sun, Apr 22, 2018 at 9:16 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > Wouldn't the obvious problem be that your data file is corrupted or was > never created

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

Wouldn't the obvious problem be that your data file is corrupted or was never created using saveRDS in the first place? Can you show us a complete example of creating and attempting to read what was just created? On April 22, 2018 10:20:05 AM CDT, mohammad moradi <mri.moradi at gmail.com> wrote: >Hi there, > >I faced a weird problem doing a seemingly simple task in R.

Also, it will be easier to provide helpful information if you'd describe what in your data you want to compare and what you hope to get out of the comparison. Best wishes, Ulrik Eric Berger <ericjberger at gmail.com> schrieb am Sa., 27. Jan. 2018, 08:18: > Hi Marsh, > An RDS is not a data structure such as a data.frame. It can be anything. > For example if I want to save my