r-lib / vctrs

Generic programming with typed R vectors

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Check size more carefully before calling `compact_rep()` in all places, error on long sizes

PetiteTong opened this issue · comments

data_long

A tibble: 879,802,446 × 22

refu sd_bio1 sd_bio2 sd_bio3 sd_bio4 sd_bio5 sd_bio6 sd_bio7 sd_bio8

1 0 2.73 0.304 16.9 0.411 2.95 2.74 0.992 2.75
2 0 2.73 0.304 16.9 0.411 2.95 2.74 0.992 2.75
3 0 2.73 0.304 16.9 0.411 2.95 2.74 0.992 2.75
4 0 2.73 0.304 16.9 0.411 2.95 2.74 0.992 2.75
5 0 2.73 0.304 16.9 0.411 2.95 2.74 0.992 2.75
6 0 2.73 0.304 16.9 0.411 2.95 2.74 0.992 2.75
7 0 2.73 0.308 16.9 0.414 2.95 2.73 0.977 2.74
8 0 2.73 0.308 16.9 0.414 2.95 2.73 0.977 2.74
9 0 2.73 0.308 16.9 0.414 2.95 2.73 0.977 2.74
10 0 2.73 0.308 16.9 0.414 2.95 2.73 0.977 2.74

ℹ 879,802,436 more rows

ℹ 13 more variables: sd_bio9 , sd_bio10 , sd_bio11 ,

sd_bio12 , sd_bio13 , sd_bio14 , sd_bio15 ,

sd_bio16 , sd_bio17 , sd_bio18 , sd_bio19 ,

Variable , Value

ℹ Use print(n = ...) to see more rows

创建小提琴图和箱图,并添加渐变色

p <- ggplot(data_long, aes(x = refu, y = Value, fill = refu)) +

  • geom_violin() +
  • geom_boxplot(width = 0.2, position = position_dodge(0.75)) +
  • facet_wrap(~ Variable, scales = "free_y", ncol = 2) +
  • labs(x = "refu", y = "Value") +
  • scale_fill_manual(values = c('1' = "pink", '0' = "blue")) + # 手动指定颜色
  • theme_minimal()

打印小提琴图和箱图

print(p)
Error in vec_rbind():
! Negative n in compact_rep().
ℹ In file utils.c at line 897.
ℹ Install the winch package to get additional debugging info the next time you get this error.
ℹ This is an internal error that was detected in the vctrs package.
Please report it at https://github.com/r-lib/vctrs/issues with a reprex (https://tidyverse.org/help/) and the full backtrace.
Backtrace:

  1. ├─base::print(p)
  2. ├─base::print(p)
  3. ├─ggplot2:::print.ggplot(p)
  4. │ ├─ggplot2::ggplot_build(x)
  5. │ └─ggplot2:::ggplot_build.ggplot(x)
  6. │ └─layout$setup(data, plot$data, plot$plot_env)
  7. │ └─ggplot2 (local) setup(..., self = self)
  8. │ └─self$facet$compute_layout(data, self$facet_params)
  9. │ └─ggplot2 (local) compute_layout(..., self = self)
  10. │ └─ggplot2::combine_vars(data, params$plot_env, vars, drop = params$drop)
  11. │ ├─ggplot2:::unique0(vec_rbind0(!!!values[has_all]))
  12. │ └─ggplot2:::vec_rbind0(!!!values[has_all])
  13. │ ├─ggplot2:::with_ordered_restart(...)
  14. │ │ └─base::withCallingHandlers(...)
  15. │ └─vctrs::vec_rbind(..., .error_call = .error_call)
  16. └─rlang:::stop_internal_c_lib(...)
  17. └─rlang::abort(message, call = call, .internal = TRUE, .frame = frame)