Comments (2)
Dear @Generalized ,
Thank you for your kind comment and suggestion. I appreciate you taking the time to write in-depth reasoning for the use of SD or CIs instead of SE. I agree that SE is often used incorrectly to infer significant differences between means, and this is not the intent of use in the 'ggcorset' package (nor do I recommend its use in this manner). Rather, the analyst should explore these group differences themselves, applying the appropriate test (if desired).
With that said, I think there is merit in keeping SE to better understand the "precision" of the sample mean relative to sample size (se = sd /
I appreciate your suggestion to provide CIs by using a flexible approach (and I appreciate your creative solution to providing this flexibility). At this time, it is beyond the scope of the package. I will, however, keep it in mind for future versions if the demand/ need is there. In the meantime, since the 'eyelet' feature is optional, user-defined CIs could be added to the visualization as both 'ggcorset' functions return a 'ggplot2' object.
Again, thank you for bringing attention to this. I will work to add the SDs to the GitHub version of the package, and will close this comment once this is completed.
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This enhancement has been made by adding an e_type
argument to both gg_corset() and gg_corset_elongated() functions. To visualize 1 standard deviation above and below the mean instead of standard error means, the argument e_type
= "SD" needs to be specified. Further documentation has been added to the README of this repository.
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