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 clusters, I wanted to see if analysis would naturally give me two clusters. These were all advantages to using SPSS but now I'm having trouble.
Does cluster analysis in R give probabilities? Which type of cluster analysis in R is best to use? I did not think hierarchical analysis was a great choice, but maybe I'm wrong. I don't want to create the average variable, I want the analysis to do it on its own. I'm also new to R so would have to figure out the right codes to enter, etc. 2-I was also told to analyze each variable on its own before including it in cluster analysis. I had first included them all then teased out which ones were not important, but now have been asked to do the reverse. I cannot do cluster analysis on one variable -for example, one variable is either present or absent on an individual so of course cluster analysis gives me two clusters, one representing present and one representing absent. I was told to use regression, but how can regression also not give the same result? I feel like it would give me a line connecting a bunch of 0s to 1s. I don't know what to use, or if I can analyze each variable like this before putting them into cluster analysis. I ultimately want to only use the smallest number of variables necessary to identify gender. I have tried reading manuals etc and talking to people at my school, but nothing has helped. If anyone has any insight, that would be much appreciated Thank you! -- View this message in context: http://r.789695.n4.nabble.com/cluster-analysis-in-R-tp4649635.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.