Error in plot method with describe_distribution()

[etiennebacher]

Asked in easystats/datawizard#419

Error when we use select in describe_distribution():

library(datawizard)
library(see)

test <- describe_distribution(iris, select = "Sepal.Length")
plot(test)
#> Error in `geom_bar()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error in `.data$x`:
#> ! Column `x` not found in `.data`.
#> Backtrace:
#>      ▆
#>   1. ├─base::tryCatch(...)
#>   2. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
#>   3. │   ├─base (local) tryCatchOne(...)
#>   4. │   │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
#>   5. │   └─base (local) tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
#>   6. │     └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
#>   7. │       └─base (local) doTryCatch(return(expr), name, parentenv, handler)
#>   8. ├─base::withCallingHandlers(...)
#>   9. ├─base::saveRDS(...)
#>  10. ├─base::do.call(...)
#>  11. ├─base (local) `<fn>`(...)
#>  12. ├─global `<fn>`(input = base::quote("keen-moa_reprex.R"))
#>  13. │ └─rmarkdown::render(input, quiet = TRUE, envir = globalenv(), encoding = "UTF-8")
#>  14. │   └─knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
#>  15. │     └─knitr:::process_file(text, output)
#>  16. │       ├─base::withCallingHandlers(...)
#>  17. │       ├─knitr:::process_group(group)
#>  18. │       └─knitr:::process_group.block(group)
#>  19. │         └─knitr:::call_block(x)
#>  20. │           └─knitr:::block_exec(params)
#>  21. │             └─knitr:::eng_r(options)
#>  22. │               ├─knitr:::in_input_dir(...)
#>  23. │               │ └─knitr:::in_dir(input_dir(), expr)
#>  24. │               └─knitr (local) evaluate(...)
#>  25. │                 └─evaluate::evaluate(...)
#>  26. │                   └─evaluate:::evaluate_call(...)
#>  27. │                     ├─evaluate (local) handle(...)
#>  28. │                     │ └─base::try(f, silent = TRUE)
#>  29. │                     │   └─base::tryCatch(...)
#>  30. │                     │     └─base (local) tryCatchList(expr, classes, parentenv, handlers)
#>  31. │                     │       └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
#>  32. │                     │         └─base (local) doTryCatch(return(expr), name, parentenv, handler)
#>  33. │                     ├─base::withCallingHandlers(...)
#>  34. │                     ├─base::withVisible(value_fun(ev$value, ev$visible))
#>  35. │                     └─knitr (local) value_fun(ev$value, ev$visible)
#>  36. │                       └─knitr (local) fun(x, options = options)
#>  37. │                         ├─base::withVisible(knit_print(x, ...))
#>  38. │                         ├─knitr::knit_print(x, ...)
#>  39. │                         └─knitr:::knit_print.default(x, ...)
#>  40. │                           └─evaluate (local) normal_print(x)
#>  41. │                             ├─base::print(x)
#>  42. │                             └─ggplot2:::print.ggplot(x)
#>  43. │                               ├─ggplot2::ggplot_build(x)
#>  44. │                               └─ggplot2:::ggplot_build.ggplot(x)
#>  45. │                                 └─ggplot2:::by_layer(...)
#>  46. │                                   ├─rlang::try_fetch(...)
#>  47. │                                   │ ├─base::tryCatch(...)
#>  48. │                                   │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
#>  49. │                                   │ │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
#>  50. │                                   │ │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
#>  51. │                                   │ └─base::withCallingHandlers(...)
#>  52. │                                   └─ggplot2 (local) f(l = layers[[i]], d = data[[i]])
#>  53. │                                     └─l$compute_aesthetics(d, plot)
#>  54. │                                       └─ggplot2 (local) compute_aesthetics(..., self = self)
#>  55. │                                         └─ggplot2:::scales_add_defaults(...)
#>  56. │                                           └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
#>  57. │                                             └─rlang (local) FUN(X[[i]], ...)
#>  58. ├─x
#>  59. ├─rlang:::`$.rlang_data_pronoun`(.data, x)
#>  60. │ └─rlang:::data_pronoun_get(...)
#>  61. └─rlang:::abort_data_pronoun(x, call = y)
#>  62.   └─rlang::abort(msg, "rlang_error_data_pronoun_not_found", call = call)

[etiennebacher]

@jmgirard this should now work with the development version of see (cf #288)

Note that it produces a list of plots and not a faceted plot but you can wrap them with patchwork:

library(see)
library(datawizard)
library(patchwork)

x <- describe_distribution(iris, select = starts_with("Sepal"))
my_plots <- plot(x)
wrap_plots(my_plots)
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.