RStudio 1.3 crashes running glm() on Linux

Crash Information:

Description of crash -

I initially discovered this while going through one of the tidymodels tutorials, but reduced it to a smaller reproducible example.

Steps to reproduce -

Run the following code in RStudio.


d <- flights[c("arr_delay", "air_time", "distance")]
d$arr_delay <- as.factor(ifelse(d$arr_delay >= 30, "late", "on_time"))

m <- glm(arr_delay ~ ., family = binomial(), data = d)

Created on 2020-06-07 by the reprex package (v0.3.0)

The last line crashes the R session when executed in RStudio.

The code example runs without crashing in an R console outside of RStudio.

System Information:


R version 4.0.0 (2020-04-24)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/

 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8   
 [6] LC_MESSAGES=en_US.UTF-8    LC_PAPER=en_US.UTF-8       LC_NAME=C                  LC_ADDRESS=C               LC_TELEPHONE=C            

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] reprex_0.3.0

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.4.6    ps_1.3.3        digest_0.6.25   R6_2.4.1        evaluate_0.14   rlang_0.4.6     fs_1.4.1        callr_3.4.3     whisker_0.4    
[10] rmarkdown_2.2   tools_4.0.0     xfun_0.14       yaml_2.2.1      compiler_4.0.0  processx_3.4.2  clipr_0.7.0     htmltools_0.4.0 knitr_1.28    


This is RStudio Version 1.3.959.

Still happens after upgrading to R 4.0.1

Unable to reproduce with R 4.0.2. Apparently fixed.

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