search for: arandi

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2012 Nov 15
5
cluster analysis in R
I have two issues. 1-I am trying to use morphology to identify gender. I have 9 variables, both continuous and categorical. I was using two-step cluster analysis in SPSS because two-step could deal with different types of variables. But the output tells me that an animal is in cluster 1 or 2, it does not give me a probability (ex. 0.70 cluster 2). I also did not want to specify that I want two
2011 Mar 23
0
Adjusted Rand Index
...Cat 2 - Item #s 2,4 Reviewer 2: Cat 1 - Item #s 1,2,3 Cat 2 - Item #s 4,5 #You then convert these into a vector: r1<-c(1,2,1,2,1) r2<-c(1,1,1,2,2) #There are two algorithms that can calculate the adjusted rand index library(mclust) adjustedRandIndex(r1,r2) library(mcclust) arandi(r1,r2, adjust=TRUE) .easy as pie As an example, I have data that looks like this: Reviewer 1: Cat 1 - Item #s 1,3,5 Cat 2 - Item #s 2,4 Cat 3 - Item #s 1,4 Reviewer 2: Cat 1 - Item #s 1,2,3 Cat 2 - Item #s 4,5 However, because of the double categorization for Reviewer 1, it...