search for: adjustedrandindex

Hello, I am a very new user to R so please have patience with me. :clap: I am trying to evalute the "internal response" for a couple of different cluster methods with the help of the AdjustedRandIndex, which is included in the mclust package. However, I do get a bit puzzled when I get a negative value as the value should be in intervall of [0,1], am I correct? Have I done something wrong? Or should I interpret the negative value as the two methods do not group the cases to the same cluster? I...

...eds a vector like this: "Group 1" "Group 2" "Group 1" "Group 2" "Group 1" "Group 2" "Group 1" "Group 2" "Group 1" "Group 2" or even. 1 2 1 2 1 2 1 2 1 2 (Note: I am using the function adjustedRandIndex from the library mclust) I also need to make a similarity matrix so that I can do cluster analysis on the reviewers (which I am able to do). I would like to be able to load in several of these vectors at once so that I can create a big matrix with all of the data in it, and I currently do t...

...izations: Reviewer 1: Cat 1 - Item #s 1,3,5 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 doub...