Background
#364 (comment)
There's some technical replicates in SRP133573.
Problem
We could deal with replicates by collapsing them, but I think this example is already pretty long and complicated as it is (even though it is an advanced topics example). I think we can switch this out for a dataset that is less complicated and then deal with the collapsing replicates issue separately.
What potential "gotchas" do we know of?
The dataset should be sufficiently large (bigger than 15) but not so large someone couldn't run it locally.
For reference
What are the recommended next steps?
Step 0) After #363 and #364 are merged, this can be addressed. (Easier to take it one step at a time).
Step 1) Find a suitable dataset replacment
Step 2) Try running it in the notebook. If there's not an R^2 above 0.80 than probably no to that dataset.
Step 3) Change module explorations -- see how the plots look.
Step 4) If that dataset otherwise looks good, update all the wording and dataset descriptions.
Background
#364 (comment)
There's some technical replicates in
SRP133573.Problem
We could deal with replicates by collapsing them, but I think this example is already pretty long and complicated as it is (even though it is an advanced topics example). I think we can switch this out for a dataset that is less complicated and then deal with the collapsing replicates issue separately.
What potential "gotchas" do we know of?
The dataset should be sufficiently large (bigger than 15) but not so large someone couldn't run it locally.
For reference
What are the recommended next steps?
Step 0) After #363 and #364 are merged, this can be addressed. (Easier to take it one step at a time).
Step 1) Find a suitable dataset replacment
Step 2) Try running it in the notebook. If there's not an R^2 above 0.80 than probably no to that dataset.
Step 3) Change module explorations -- see how the plots look.
Step 4) If that dataset otherwise looks good, update all the wording and dataset descriptions.