I just upgraded to R 4.0.0 and I am now trying to reinstall the packages I use. But when I try to do so in RStudio, I have the following warning:
Warning in install.packages: converting NULL pointer to R NULL
I also had this sort of warning later when running a shiny app:
Warning in .Call("rs_registerShinyFunction", params): converting NULL pointer to R NULL
Where does this come from? How can I fix it?
If needed:
> sessionInfo()
R version 4.0.0 (2020-04-24)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.4 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
locale:
[1] LC_CTYPE=fr_FR.UTF-8 LC_NUMERIC=C
[3] LC_TIME=fr_FR.UTF-8 LC_COLLATE=fr_FR.UTF-8
[5] LC_MONETARY=fr_FR.UTF-8 LC_MESSAGES=fr_FR.UTF-8
[7] LC_PAPER=fr_FR.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] shiny_1.4.0.2 hammer_0.0.0.9000 testthat_2.3.2
loaded via a namespace (and not attached):
[1] xfun_0.13 remotes_2.1.1 shinyjs_1.1 purrr_0.3.4
[5] miniUI_0.1.1.1 htmltools_0.4.0 usethis_1.6.1 yaml_2.2.1
[9] rlang_0.4.6 pkgbuild_1.0.8 later_1.0.0 glue_1.4.0
[13] withr_2.2.0 stringr_1.4.0 htmlwidgets_1.5.1 knitr_1.28
[17] callr_3.4.3 fastmap_1.0.1 golem_0.2.1 httpuv_1.5.2
[21] ps_1.3.3 fansi_0.4.1 Rcpp_1.0.4.6 xtable_1.8-4
[25] promises_1.1.0 backports_1.1.6 DT_0.13 shinyhelper_0.3.2
[29] desc_1.2.0 pkgload_1.0.2 jsonlite_1.6.1 config_0.3
[33] mime_0.9 fs_1.4.1 packrat_0.5.0 digest_0.6.25
[37] stringi_1.4.6 processx_3.4.2 stargazer_5.2.2 rprojroot_1.3-2
[41] here_0.1 cli_2.0.2 tools_4.0.0 dockerfiler_0.1.3
[45] magrittr_1.5 crayon_1.3.4 xml2_1.3.2 prettyunits_1.1.1
[49] shinyBS_0.61 attempt_0.3.1 assertthat_0.2.1 roxygen2_7.1.0
[53] rstudioapi_0.11 R6_2.4.1 compiler_4.0.0
Updating to the last Rstudio version (at least 1.2.5042) fixes the problem. It was noticed in this issue on Github.
To avoid incompatibilities with the new R major version, it might be a good idea to reinstall all the packages with:
installed <- installed.packages()[,1]
install.packages(installed)
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