Feature request: expand capabilities of create_rank()

[moralec]

There are a few additional things we should add to rank functions:

In addition to absolute values (e.g. 10 collab hours), table should return

• % difference relative to company average (200%)
• P Value of t statistic (difference over average)

New opportunity plot:

[martinctc]

This is a great view @moralec! A couple of questions for discussion:

1. Is this simply a bubble (or scatter) plot where the background is overlaid with the impact areas?
2. Follow-up to the above, should this be a scatter plot or a bubble plot (sizes scale to group size). A bubble plot would present duplicate (or emphasised) information because the vertical axis already represents group size.
3. Is company average group size simply a mean taken over the relative sizes of the groups? E.g. 90 if Org A is 100, Org B is 90, and Org C is 80? And Org B will fall right in the middle at 1:1.
4. Should this be a plot_mode = 3 option for create_rank()? Or would it be more intuitive to users to have a separate function?

[moralec]

@martinctc found this! I think we can start with the table and then address the plot idea.
Maybe a good task for a someone that wants to make a contribution and still improving their R skills?

With respect to your questions above:

1. Simple bubble chart should be fine
2. Agree that is duplicated information, but I don't feel strongly about it. Technically the Y axis could be in dollar tearms for example. Also It helps emphasise the point.
3. I think she means the average of that metric for the entire population
4. Plot mode =3 sounds like the right approach

[moralec]

I think we should limit this change to:

• New combine function
• New basic columns for table (% over average, SD, median, P value for ttest )

[moralec]

https://sebastiansauer.github.io/multiple-t-tests-with-dplyr/

[moralec]

Brining this back from the dead.

I think we should omit the opportunity plot, but really consider improving the table output by adding:

• % difference relative to company average (200%)
• P Value of t statistic (difference over average)

An example:

[moralec]

Merging with #170