autoplot: Error - must be data frame...not bench_mark/list

[mkearney]

I'm getting an error about an object being a bench_mark/list and not a data.frame. The actual error message:

#> Error: Argument 1 must be a data frame or a named atomic vector, not a bench_mark/list

Here's a reproducible example although I'm getting the same error even when I try the package examples, so I imagine it has to be something related to my configuration (or maybe a recently introduced bug?).

## set seed
set.seed(20180812)

## generate data
d <- data.frame(x = rnorm(1000), y = 1:1000)

## create data frame with duplicate rows
d <- d[c(1:1000, sample(1:1000, 500, replace = TRUE)), ]
row.names(d) <- NULL

## bench mark
m <- bench::mark(uq = unique(d), dup = d[!duplicated(d), ])

## view results
m
#> # A tibble: 2 x 10
#>   expression    min  mean median    max `itr/sec` mem_alloc  n_gc n_itr
#>   <chr>      <bch:> <bch> <bch:> <bch:>     <dbl> <bch:byt> <dbl> <int>
#> 1 uq         1.76ms 2.2ms 2.03ms 4.01ms      455.     111KB    26   138
#> 2 dup        1.71ms 2.5ms 2.11ms 8.25ms      399.      93KB    12   148
#> # ... with 1 more variable: total_time <bch:tm>

## plot
ggplot2::autoplot(m)
#> Error: Argument 1 must be a data frame or a named atomic vector, not a bench_mark/list

Created on 2018-08-12 by the reprex package (v0.2.0.9000).

And here's the more detailed traceback:

#> 12: stop(list(message = "Argument 1 must be a data frame or a named atomic vector, not a bench_mark/list", 
#>         call = NULL, cppstack = NULL))
#> 11: bind_rows_(x, .id)
#> 10: .f(.x[[i]], ...)
#> 9: map(nest_types$dataframe %||% list(), dplyr::bind_rows, .id = .id)
#> 8: unnest.data.frame(object)
#> 7: NextMethod(.Generic)
#> 6: withCallingHandlers(expr, warning = function(w) invokeRestart("muffleWarning"))
#> 5: suppressWarnings(NextMethod(.Generic))
#> 4: unnest.bench_mark(object)
#> 3: tidyr::unnest(object)
#> 2: autoplot.bench_mark(m)
#> 1: ggplot2::autoplot(m)

And session info:

#> R version 3.5.1 (2018-07-02)
#> Platform: x86_64-apple-darwin15.6.0 (64-bit)
#> Running under: macOS High Sierra 10.13.6
#> 
#> Matrix products: default
#> BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
#> LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
#> 
#> locale:
#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/C
#> 
#> attached base packages:
#> [1] datasets  stats     graphics  grDevices utils     methods   base     
#> 
#> other attached packages:
#> [1] bindrcpp_0.2.2
#> 
#> loaded via a namespace (and not attached):
#>  [1] Rcpp_0.12.18      bindr_0.1.1       plyr_1.8.4        compiler_3.5.1    pillar_1.3.0.9000
#>  [6] tools_3.5.1       digest_0.6.15     evaluate_0.11     tfse_0.3.12       memoise_1.1.0    
#> [11] tibble_1.4.2.9005 gtable_0.2.0      debugme_1.1.0     pkgconfig_2.0.1   rlang_0.2.1.9000 
#> [16] reprex_0.2.0.9000 bench_1.0.1       cli_1.0.0         rstudioapi_0.7    yaml_2.2.0       
#> [21] dplyr_0.7.99.9000 withr_2.1.2       stringr_1.3.1     httr_1.3.1        knitr_1.20       
#> [26] fs_1.2.5          devtools_1.13.6   tidyselect_0.2.4  rprojroot_1.3-2   grid_3.5.1       
#> [31] glue_1.3.0        R6_2.2.2          processx_3.1.0    fansi_0.2.3       profmem_0.5.0    
#> [36] rmarkdown_1.10    tidyr_0.8.1       purrr_0.2.5       callr_2.0.4       rdrop2_0.8.1     
#> [41] ggplot2_3.0.0     clipr_0.4.1       magrittr_1.5      whisker_0.3-2     scales_1.0.0     
#> [46] backports_1.1.2   htmltools_0.3.6   assertthat_0.2.0  colorspace_1.3-2  utf8_1.1.4       
#> [51] stringi_1.2.4     lazyeval_0.2.1    munsell_0.5.0     crayon_1.3.4     

[jimhester]

It looks like you are using a devel version of dplyr, which might be the issue. I don't see this behavior with the release version of dplyr (0.7.6).