Dear All, I am using a specific approach for my master thesis. In essence, a supervised reclassification is used as an intermediate step to find chemical parameters which are able to reclassify defined groups. These variables will be used in a next step where location and scale estimators of the groups are important. Traditionally linear discriminant analysis is used for reclassification which uses group-means as centroid.
Caused by the characteristics of my data, I decided to use nonparametric estimators, median as location and median absolute deviation as scale estimator of the groups for the final step. For this purpose I would like to know which chemical parameters are able to reclassify the defined groups around the median instead of the mean. Therefore the “traditional linear discriminant analysis” seems to be not the best way for the supervised reclassification. Does somebody of you know if there is a package/function for R with a “median based” discriminant analysis? How would you handle this problem? Does a robust lda or supervised reclassification exist which is suitable for my problem? I´m pleased about every suggestion. Thank you and best regards Thomas -- View this message in context: http://r.789695.n4.nabble.com/Linear-discriminant-function-analysis-based-median-as-group-centroid-and-nonparametric-scale-estimat-tp4646915.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.
