I'm sure this is a simple problem, however I need a bit of help to sort it out.
I have a multivariate data set of elements. Some of the observations have some amount of certain elements but are lacking in others. Therefore, I want to quickly group/cluster the observations based on a presence/absence type scenario. I have converted the dataset to binary where presence = 1 and absence = 0. I am toying around with Logistic regression, hclust of the binary data and even PCA with the binary data. The latter two clearly group the data based on presence/absence, but I feel there must be a "usual" way to do what I'm attempting. Any advice/help would be greatly appreciated. Thanks -- View this message in context: http://www.nabble.com/Presence-Absence-of-variables-in-a-multivariate-data-set-tp26104666p26104666.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.
