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[New feature request] ci = 'se' for categorical plots

See original GitHub issue

This is a new feature request, which should be very straightforward to implement.

Now that the ci parameter supports showing sd, it would be also handy to include the option to show se, i.e., standard error as well. This would be just a division of the standard deviation by $\sqrt(n)$.

I would be happy to implement this and submit a PR if people are happy with this addition.

Issue Analytics

State:
Created 5 years ago
Reactions:4
Comments:5 (5 by maintainers)

Top GitHub Comments

4reactions

mwaskomcommented, May 11, 2018

Thanks for the link to wikipedia. I’d suggest you read down to the “assumptions and usage” section.

If you have normally distributed data, then the 68% confidence interval will correspond to the standard error of the mean. In the case of bootstrapping, this will only be approximate and dependent on the number of bootstrap samples.

If you do not have normally distributed data, then the standard error of the mean will be useless, and the bootstrap confidence interval will give you much more informative error bars.

4reactions

mwaskomcommented, May 11, 2018

You can show standard error with a 68% confidence interval.

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