dplyr not installing on Rstudio Cloud

#1

Hello,
I am teaching a datascience class using R and Rstudio Cloud. Recently, the students and I tried to install the dplyr package in R.
We typed the command install.packages('dplyr') in the Rstudio Cloud command console.
However, during the installation process, we get the following lines:
g++: internal compiler error: Killed (program cc1plus)
Please submit a full bug report,
with preprocessed source if appropriate.
See <file:///usr/share/doc/gcc-5/README.Bugs> for instructions.
make: *** [mutate.o] Error 4
/opt/R/3.6.0/lib/R/etc/Makeconf:176: recipe for target 'mutate.o' failed
ERROR: compilation failed for package ‘dplyr’

  • removing ‘/home/rstudio-user/R/x86_64-pc-linux-gnu-library/3.6/dplyr’
    Warning in install.packages :
    installation of package ‘dplyr’ had non-zero exit status

Could you please tell me a way to remedy this situation? I would like to use the data manipulation functions that are in dplyr.
Thanks!

#2

I got an exactly same issue today.

#3

Any idea how to solve the issue. Did it ever install?

#4

This is because dplyr requieres more than 1 GB of RAM to compile (the current RAM limit), they solve this issue by caching precompiled binaries of the packages, but there is a lag between the release of a new version and the availability of the cached version.

#5

Thanks for the info. Does this mean that the only thing we can do is wait for the cached version to update?

#6

Same issue here. Is there a way to create a cache locally and load it into the cloud for a group (say a class)?

1 Like
#7

This would be great, anxious to get moving! Is it possible to specify an old version/cache?

#8

Hey @stevenolen, can you help with this?

#9

I successfully installed the development version of dplyr using

devtools::install_github("tidyverse/dplyr")
#10

We are looking into resolving this ASAP. Apologies for the inconvenience.

2 Likes
#11

  1. Still an issue currently.

  2. Could we get a package status section on the status page for RStudio Cloud?

#12

It should be in the cache for R 3.6.0 as of 5 minutes ago. Other R versions will take some time.
I will speak with the team about treating this as a status event in some fashion.

1 Like
#13

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