lda discriminant functions
--- Leonardo Lami <lami at faunalia.it> wrote:
Hi list, I'm looking about lda function. I'd like to know how calcolate the value of the discriminant functions for the original datas. I see that in the result object "lda" there is $scaling a matrix which transforms observations to discriminant functions, normalized so that within groups covariance matrix is spherical. I'd like to have the value of the discriminant function not normalized.
The information you need to do this is already there, but you need to understand how to manipulate your raw data in conjunction with the lda object to calculate the result you want. If you don't understand the matrix math involved and the statistics necessary, you probably won't be successful. Suggest you read ?lda, followed by MASS, followed by Professor Ripley's Pattern Recognition and Neural Networks, followed by a any good book that shows you the matrix algebra for doing the discriminant calculations. It isn't hard to do. If you understand the math to get the individual scores, normalized or unnormalized, but just do not understand the "R-way" of doing things, check back again. Dr. Marc R Feldesman Professor & Chair Emeritus Department of Anthropology Portland State University Portland, OR 97207 Please respond to all emails at: feldesmanm at pdx.edu "Some people live and die by actuarial tables" Groundhog Day