Density testing

[bdpedigo]

Main deliverables:

• Plot comparing L vs. R density, ideally with error bars. Report p-value for density test. If significant, can draw "significance bar" over the comparison
• Plot comparing Head vs. pygidium vs segment 0 ... etc, same as above.
• Notebook showing the above figures (you can even caption them in jupyterbook) and narrative text explaining what you are doing

[bdpedigo]

• @kareef928 plot matrx of p-values for density comparisons like i do for the heatmap of sbm p-values

[bdpedigo]

• seems like we may want to correct for multiple comparisons in the above
  • i would still plot the uncorrected
  • we may want to add correction using holm-bonferroni proceedure. there is code for this using statsmodels somewhere in my SBM code or plotting code, lmk if you can't find it

[bdpedigo]

• fix density comparison for L/R (there were conflicting plots)
• add color labels to the margins for the density plotting stuff (use sns.clustermap or adjplot//matrixplot)

[bdpedigo]

• add x's for significant in heatmap
• label colorbar and add a line to show where significance is