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Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]
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Data clustering with multiple observations for one subject in R
I have the following data frame:
ID NLR1 NLR_CHANGE
2 2 3.7941176 -2.10364146
3 3 0.4871245 0.21313393
4 3 0.5225653 0.10084435
5 3 0.6386364 1.41399522
6 3 0.7134269 -0.07937597 …