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Analysis of number of hospitals versus population per county
The master
branch of this repository will soon be renamed to main
, as part of a coordinated change across several GitHub organizations (including, but not limited to: tidyverse, r-lib, tidymodels, and sol-eng). We anticipate this will happen by the end of September 2021.
That will be preceded by a release of the usethis package, which will gain some functionality around detecting and adapting to a renamed default branch. There will also be a blog post at the time of this master
--> main
change.
The purpose of this issue is to:
message id: euphoric_snowdog
The default branch of this repository is being moved from master
to main
. This issue will be closed when the default branch has been changed.
For help and guidance with updating the default branch of your local or forked copy of this repo, please see Renaming the default branch.
Search for files that may potentially reference master
.
ID: 91e77a361e4e
The environment variables currently in use by these demo assets are connect_url
and connect_key
. The standard variables are CONNECT_SERVER
and CONNECT_API_KEY
. We should change to these for consistency and to simplify the experience for newer users who may be interacting with several different pieces of content, packages (pins
, etc.), demo examples, etc.
Most statisticians would do a log transform of the predictor and response in your model:
lm(log(hospitals) ~ log(population))
When you make new predictions, you should back transform the response so it's in the non-log space.
The log transform will lead to a better model, and prettier pictures, but will be slightly harder to interpret.
Related to #11
If the proper env vars are not set, we should have apps, Rmds, etc. exit with a friendly error message to be clear that more configuration is necessary, because otherwise the proper actions can be a bit difficult for users to grok from the error messages.
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