Segfault in mutate

[enbrown]

I'm not sure if this has been reported before or is another version of a previously seen bug, but I can get R to crash quite consistently with the following 3 lines. I realize that this is a bug in my code, but I don't expect it to crash R (and force reloading of RStudio which I use to do some of my developing.) Taking out the group_by call prevents the crash and just throws an error:

library(dplyr)
df <- data.frame(ID = rep(1:5, each = 3), x = 1:15)
df %>% group_by(ID) %>% mutate(foo = mean)

I've reinstalled RCPP from source (install.packages("Rcpp", type="source")) and dplyr from GitHub (devtools::install_github("hadley/dplyr", build_vignettes = FALSE)) and it still occurs.

The error output is:

 *** caught segfault ***
address (nil), cause 'memory not mapped'

Traceback:
 1: .Call("dplyr_mutate_impl", PACKAGE = "dplyr", df, dots)
 2: mutate_impl(.data, dots)
 3: mutate_.tbl_df(.data, .dots = lazyeval::lazy_dots(...))
 4: mutate_(.data, .dots = lazyeval::lazy_dots(...))
 5: mutate(., foo = mean)
 6: function_list[[k]](value)
 7: withVisible(function_list[[k]](value))
 8: freduce(value, `_function_list`)
 9: `_fseq`(`_lhs`)
10: eval(expr, envir, enclos)
11: eval(quote(`_fseq`(`_lhs`)), env, env)
12: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
13: df %>% dplyr::group_by(ID) %>% mutate(foo = mean)
14: eval(expr, envir, enclos)
15: eval(ei, envir)
16: withVisible(eval(ei, envir))
17: source("test.R")

...

With debugging through gdb, it segfaults at (I don't know how to turn on dubugging info when compiling dplyr to see the exact line it crashes at):

0x00007ffff0726ecf in SEXPREC* mutate_grouped<Rcpp::GroupedDataFrame, dplyr::LazyGroupedSubsets>(Rcpp::DataFrame_Impl<Rcpp::PreserveStorage> const&, Rcpp::LazyDots const&) () from /home/enb/R/x86_64-redhat-linux-gnu-library/3.2/dplyr/libs/dplyr.so

Finally, the sessionInfo is:

> sessionInfo()
R version 3.2.3 (2015-12-10)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: Fedora 23 (Workstation Edition)

locale:
[1] C

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

other attached packages:
[1] dplyr_0.4.3.9000

loaded via a namespace (and not attached):
[1] magrittr_1.5   R6_2.1.2       assertthat_0.1 parallel_3.2.3 DBI_0.3.1     
[6] tools_3.2.3    Rcpp_0.12.3