Dear All, Ive got a statistical question on calculating dissimilarities in R. I want to calculate the different types of dissimilarities on the flower dataset found in the package cluster. Flower is a data frame with 18 observations on 8 variables. Variable 1 and 2 are binary, variable 3 is asymmetric binary, variable 4 is nominal, variable 5 and 6 are ordered and variable 7 and 8 are interval scaled.
Commands to load the dataset in R. library(cluster) data(flower) flower What are the different types of dissimilarities that can be calculated on such a dataset? Do I need to group the types of variables first i.e. all binary together then run the calculation? Do I use dissimilarity indices such as Jaccard or should it be classification function such as daisy which should be used? Many thanks, Elvina Payet (MSc) University of La Reunion ______________________________________________ R-help@stat.math.ethz.ch 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.
