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[FR] Distribution plots in the manual
Summary:
Like how wiki has https://en.wikipedia.org/wiki/Gumbel_distribution it may be nice to have a picture for each distribution with different parameters in the function docs
Additional Information:
Since most of (all?) of the docs are in .Rmd I think this would just be calling the _rng for each distribution and making a pretty plot of the distribution with different params
Current Version:
v2.18.0
On Jan 9, 2020, at 10:04 AM, Steve Bronder [email protected] wrote:
Summary:
Like how wiki has https://en.wikipedia.org/wiki/Gumbel_distribution it may be nice to have a picture for each distribution with different parameters in the function docs
Additional Information:
Since most of (all?) of the docs are in .Rmd I think this would just be calling the _rng for each distribution and making a pretty plot of the distribution with different params
Rather than using an RNG and then a smoothed plot like loess, we can just use stat_function:
https://ggplot2.tidyverse.org/reference/stat_function.html
This is tricky as the distributions have multiple shapes, so you'd also want something like the gamma distribution plots from Wikipedia.
The reason I never did this before is that it seems redundant with Wikipedia. We need to define what our functions do so people know which parameterization of gamma, etc., we use, but I don't think we need to write a textbook on them all. So I'd make this a low priority project, though definitely one where we'd accept a PR.
The reason I never did this before is that it seems redundant with Wikipedia. We need to define what our functions do so people know which parameterization of gamma, etc., we use, but I don't think we need to write a textbook on them all. So I'd make this a low priority project, though definitely one where we'd accept a PR.
Maybe an alt half cent solution would just be wiki links. My current methodology is 'look at distribution name', "What does that look like exactly again?", 'type distro in search bar', "Ah yes, indeed"
Just be careful because some distributions such as negative binomial have multiple parameterizations.
On Jan 21, 2020, at 12:21 AM, Steve Bronder [email protected] wrote:
The reason I never did this before is that it seems redundant with Wikipedia. We need to define what our functions do so people know which parameterization of gamma, etc., we use, but I don't think we need to write a textbook on them all. So I'd make this a low priority project, though definitely one where we'd accept a PR.
Maybe an alt half cent solution would just be wiki links. My current methodology is 'look at distribution name', "What does that look like exactly again?", 'type distro in search bar', "Ah yes indeed"
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Just be careful because some distributions such as negative binomial have multiple parameterizations.
I think it'd be one plot per parameterization.
Also, this is tricky because distributions like the gamma have very different shapes depending on the parameters. And I don't know how to visualize multivariate densities beyond 2D.
I think something like what @rok-cesnovar has been working on here https://github.com/rok-cesnovar/stan-distributions could be nice if we could find a way to incorporate it with the existing documentation (at least for the web version, pdf wouldn't be able to use such a thing)
