Problem
RStudio keeps crashing when I use this code tutorial from 'R for Data Science':
library(tidyverse)
library(nycflights13)
filter(flights, month == 1, day == 1).
I would appreciate it if anyone knows how I can solve this.
When I run RStudio via anaconda-navigator from the terminal, I get the following error message (home directory edited to ~ for privacy):
~/.anaconda/navigator/scripts/rstudio.sh: line 3: 19137 Segmentation fault
~/anaconda3/bin/rstudio > ~/.anaconda/navigator/scripts/rstudio-out-1.txt
~/.anaconda/navigator/scripts/rstudio-err-1.txt
I'm new to R, but have some background in python, so I have tried the following:
RStudio presents and reads the 'flights' dataframe without problems.
Assigning the filter to an object (jan1 <- filter(flights, month == 1, day == 1)) works, but calling the object jan1 then crashes RStudio again.
filtering only by month or day alone causes no problems.
I can perform this task using the R interpreter on the terminal without problem.
I am using RStudio v1.1.383, installed using conda 4.4.11, on Linux Mint - Linux version 4.4.0-92-generic (buildd#lcy01-17) (gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.4).
Related
I am running Red Hat Enterprise Linux (RHEL) 8.5 with Linux kernel 4.18 and Gnome 3.32.2. In this system, I've got R 4.1.2 compiled with the tool asdf with shared libraries enabled. On top of that, I installed RStudio 2021.09.01-372 from an RPM from the official RStudio website.
When I start Rstudio, the first line of output after the usual R startup is an error:
Error in tools::startDynamicHelp() : internet routines cannot be loaded
I am unable to figure out what's causing this error, and with it I can't run things like refresh CRAN or update packages. But if I start a pure R session from the terminal (instead of Rstudio) this error does not occur.
Some things I tried:
Install the krb5 and libssh2 packages on my host system: Didn't help.
Starting a "pure" R session (both with and without the --vanilla argument) from the Terminal tab within Rstudio also gives this error. If I try to run update.packages() from this session, it pops up a window to select a CRAN mirror then fails with the following:
Warning: failed to download mirrors file (internet routines cannot be loaded); using local file '/home/[my username]/.asdf/installs/R/4.1.2/lib64/R/doc/CRAN_mirrors.csv'
Warning: unable to access index for repository https://cloud.r-project.org/src/contrib:
internet routines cannot be loaded
Warning message:
In download.file(url, destfile = f, quiet = TRUE) :
unable to load shared object '/home/penyuan/.asdf/installs/R/4.1.2/lib64/R/modules//internet.so':
/lib64/libssh.so.4: undefined symbol: EVP_KDF_ctrl, version OPENSSL_1_1_1b
But like I said, the strange thing is if I start an R session outside of Rstudio, these errors don't happen.
Within RStudio, the only workaround I can find is to run this command upon startup (suggested in this thread):
options(download.file.method="wget")
Once this is done, everything else seems to work, such as package updates.
However, I don't want to manually do this every time I start RStudio. So I tried to put it into ~/.Rprofile including a test print() as follows:
print("This is `~/.Rprofile`")
options(download.file.method="wget")
When I open RStudio, I can see the output from the print() call, but the options() command is not run because the original error shows up again. I still have to manually enter options(download.file.method="wget") every time.
I also tried to fold everything into a .First function in ~/.Rprofile as follows:
.First <- function() {
options(download.file.method="wget")
print("This is the `.First` function in `~/.Rprofile`")
}
Unfortunately, same result as before: print()'s output is seen, but options() is not run.
I also made sure that my ~/.Rprofile includes a trailing newline as discussed here. But this didn't help.
The above are the steps I've tried so far.
Why does this error only occur when running RStudio or a terminal within Rstudio? Why doesn't it happen if I start R from a terminal outside of Rstudio?
Is there a way to solve the problem so that the error doesn't happen in the first place? If it can't be solved, how do I set up my ~/.Rprofile so that options(download.file.method="wget") will be run?
Thank you.
I have used RStudio to submit a job a few months ago to cloudml (AI platform) and it was successful.
Today I tried to use AI platform notebook to submit the same job but I get:
"ERROR: (gcloud.ai-platform.jobs.submit.training) INVALID_ARGUMENT: Field: runtime_version Error: The specified runtime version '1.9' with the Python version ''"
I even ran which python in the terminal and then in the R env.:
library(reticulate)
use_python("result of the which python")
I tried R in the terminal as well and get the same error.
I don't know if it helps or not but the previous run and this one were in different regions.
us-central was successful
australia-southeast1 was getting this error.
This error occurs because as of March 16, 2020, you can no longer create training jobs that use runtime version 1.9. You can try submitting the job with version 1.15 which is the only Tensorflow 1.x version that is currently supported for training jobs. It is still possible though that you may experience errors due to incompatibilities in the code.
I’m trying to run some modeling (random forest, using caret) in rstudio server 1.1.423 (with R version 3.4.4, running on an Ubuntu 16.04 server), and it comes back with the following error:
Error: protect(): protection stack overflow
This error doesn't come up if I run the same analysis in an interactive R session. I seem to recall that in the past (in rstudio server running an older version of R) was able to resolve this error by issuing memory.limit(500000) in an interactive rstudio server session, but these days this comes back with:
> memory.limit(500000)
[1] Inf
Warning message:
'memory.limit()' is Windows-specific
A solution that works and that I use routinely is to run my analysis from a script, like Rscript --max-ppsize=500000 --vanilla /location/of/the/script.R, but that’s not what I want to do, as in this particular case I need to run the analysis interactively.
I’ve also tried adding R_MAX_VSIZE=500000 at the end of my ~/.profile, or rsession-memory-limit-mb=500000 into /etc/rstudio/rserver.conf, as well as putting options(expressions = 5e5) in my ~/.Rprofile, or running options(expressions = 5e5) in an interactive rstudio server session. No luck so far, the “protect()” error keeps on popping up.
Any ideas as to how to remove the memory limit in rstudio server?
I would like to build a simple webserver using Rook, however I am having strange errors when trying it in R-Studio:
The code
library(Rook)
s <- Rhttpd$new()
s$start()
print(s)
returns the rather useless error
"Error in listenPort > 0 :
comparison (6) is possible only for atomic and list types".
When trying the same code in a simple R-Console,everything works - so I would like to understand why that happens and how I can fix it.
RStudio is Version 0.99.484 and R is R 3.2.2
I've experienced same thing.
TLDR: This pull request solves the problem: https://github.com/jeffreyhorner/Rook/pull/31
RStudio is treated in different way and Rook port is same as tools:::httpdPort value. The problem is that in current Rook master tools:::httpdPort is assigned directly. It's a function that's why we need to evaluate it first.
If you want to have it solved right now, without waiting for merge into master: install devtools and load package from my fork #github.
install.packages("devtools")
library(devtools)
install_github("filipstachura/Rook")
My R script worked fine in RStudio (Version 0.98.1091) on Windows 7. Then I restarted my laptop, entered again in RStudio and now it provides the following error messages each time I want to execute my code:
cl <- makeCluster(mc); # build the cluster
Error: could not find function "makeCluster"
> registerDoParallel(cl)
Error: could not find function "registerDoParallel"
> fileIdndexes <- gsub("\\.[^.]*","",basename(SF))
Error in basename(SF) : object 'SF' not found
These error messages are slightly different each time I run the code. It seems that RStudio cannot find any function that is used in the code.
I restarted R Session, cleaned Workspace, restarted RStudio. Nothing helps.
It must be noticed that after many attempts to execute the code, it finally was initialized. However, after 100 iterations, it crashed with the message related to unavailability of localhost.
Add library(*the package needed/where the function is*) for each of the packages you're using.