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@yumi-arimitsu.bsky.social
Three! You have three now! 🤩
January 23, 2025 at 3:59 PM
January 14, 2025 at 2:05 PM
Wonder if it’s the similarity index. I would maybe try logisticPCA for binary data (full disclosure: ive not used this package before) eg cran.r-project.org/web/packages...
An Introduction to the logisticPCA R Package
cran.r-project.org
January 10, 2025 at 1:32 AM
PC2 is Eastman vs everyone! Not surprised!
January 9, 2025 at 2:06 PM
🤩
January 9, 2025 at 2:04 PM
Cool data! You already thought of this but Plot #932 could be a PCA followed by hierarchical clustering to group similarly voting members, and then plot PC coordinates colored by cluster and with overlaid loadings related to voting issues #showmethevotes #matrixofvotesbymember #plotsfordays
January 9, 2025 at 1:17 AM
Well ok fine. I looked. #greedyoptimization
January 8, 2025 at 4:28 AM
I like where you’re going with this, but I’m gonna need some interpretation help on that plot! 🤓
January 8, 2025 at 4:23 AM