Pipe `%<>%` does not work when package `MuMIn` is loaded

[iago-pssjd]

This is a problem that involves another CRAN package, so I do not believe it is only a magrittr issue, but I let you know this strange behaviour because it only happens with development magrittr, not with the CRAN version.

The other package is MuMIn. With it installed together with magrittr the pipe %<>% does not work (I tried in R 4.0.3 and 3.6.3).

data(iris)
library(magrittr)
library(dplyr)
library(MuMIn)
iris %<>% dplyr::select(Species) %>% dplyr::distinct()
     Species
1     setosa
2 versicolor
3  virginica
iris
    Sepal.Length Sepal.Width Petal.Length Petal.Width    Species
1            5.1         3.5          1.4         0.2     setosa
2            4.9         3.0          1.4         0.2     setosa
3            4.7         3.2          1.3         0.2     setosa
4            4.6         3.1          1.5         0.2     setosa
5            5.0         3.6          1.4         0.2     setosa
6            5.4         3.9          1.7         0.4     setosa
...

sessionInfo()
R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.7 LTS

Matrix products: default
BLAS:   /usr/lib/atlas-base/atlas/libblas.so.3.0
LAPACK: /usr/lib/atlas-base/atlas/liblapack.so.3.0

locale:
 [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        LC_COLLATE=C.UTF-8    
 [5] LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    LC_PAPER=C.UTF-8       LC_NAME=C             
 [9] LC_ADDRESS=C           LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   

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

other attached packages:
[1] MuMIn_1.43.17 dplyr_1.0.2  

loaded via a namespace (and not attached):
 [1] lattice_0.20-41  crayon_1.3.4     grid_4.0.3       R6_2.4.1         nlme_3.1-149    
 [6] lifecycle_0.2.0  stats4_4.0.3     magrittr_2.0.0   pillar_1.4.6     rlang_0.4.7     
[11] rstudioapi_0.11  Matrix_1.2-18    vctrs_0.3.4      generics_0.0.2   ellipsis_0.3.1  
[16] tools_4.0.3      glue_1.4.2       purrr_0.3.4      compiler_4.0.3   pkgconfig_2.0.3 
[21] tidyselect_1.1.0 tibble_3.0.3    

[Lionel Henry]

I can reproduce. This is very mysterious.

library(magrittr)
library(dplyr)

iris %<>% dplyr::select(Species) %>% dplyr::distinct()

str(iris)
#> 'data.frame':	3 obs. of  1 variable:
#>  $ Species: Factor w/ 3 levels "setosa","versicolor",..: 1 2 3


rm(iris)
library(MuMIn)

iris %<>% dplyr::select(Species) %>% dplyr::distinct()

str(iris)
#> 'data.frame':	150 obs. of  5 variables:
#>  $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
#>  $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
#>  $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
#>  $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
#>  $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...

[Lionel Henry]

Thanks for reporting!