type_mean_se

[marcboschmatas]

Some time ago, I opened an issue to see whether it was possible to create a "mean_se" option for type_summary() (#436). You mentioned this was difficult, and I've been working on it for some time. The best solution I could come up with was to make a type_mean_se() (https://github.com/marcboschmatas/tinyplot/blob/main/R/type_mean_se.R). I managed to do one which works well enough, but it has a pretty important problem here, instead of getting the categorical values for X, I get their factor order, so for instance,

plt(bill_length_mm ~ species, data = penguins, type = "mean_se")
returns

Trying to pass character values to draw_pointrange() will return this error.

Error in segments(x0 = ixmin, y0 = iymin, x1 = ixmax, y1 = iymax, col = icol,  : 
  first argument is not valid
Called from: segments(x0 = ixmin, y0 = iymin, x1 = ixmax, y1 = iymax, col = icol, 
    lwd = ilwd)

EDIT: this has been sorted now, as well as dodging issues, so this code

plt(mpg ~ cyl | gear, data = mtcars, type = type_mean_se(dodge = .1))

Returns this plot

I don't know if you'd be interested in incorporating this feature. Of course, I'll incorporate formal tests and so on before merging.

Thanks!

DISCLAIMER, I have used Claude AI for some debugging.