Re: [R] Discriminant Function Analysis

michael watson (IAH-C) wrote: > Thanks for the answers Uwe! > > So this is a common problem in biology - few number of cases and many, > many variables (genes, proteins, metabolites, etc etc)! > > Under these conditions, is discriminant function analysis not an ideal > method to use then? Are

Re: [R] Discriminant Function Analysis

Thanks for the answers Uwe! So this is a common problem in biology - few number of cases and many, many variables (genes, proteins, metabolites, etc etc)! Under these conditions, is discriminant function analysis not an ideal method to use then? Are there alternatives? > 1) First problem, I go

Re: [R] Discriminant Function Analysis

michael watson (IAH-C) wrote: > Dear All > > This is more of a statistics question than a question about help for R, > so forgive me. > > I am using lda from the MASS package to perform linear discriminant > function analysis. I have 14 cases belonging to two groups and have > measured each of

[R] Discriminant Function Analysis

Dear All This is more of a statistics question than a question about help for R, so forgive me. I am using lda from the MASS package to perform linear discriminant function analysis. I have 14 cases belonging to two groups and have measured each of 37 variables. I want to find those variables t

[R] discriminant function analysis in R

In message <[EMAIL PROTECTED]>, r-help- [EMAIL PROTECTED] writes >Dear R Users, > >I'm very very interested in learning how to use R to carry out a >classification of data using discriminant function analysis. I've >found the MASS package and the lda function, but the examples in the >help syst

[R] discriminant function analysis in R

Dear R Users, I'm very very interested in learning how to use R to carry out a classification of data using discriminant function analysis. I've found the MASS package and the lda function, but the examples in the help system are a bit over my head. I'm not exactly sure how to interpret the o

[R] Discriminant function analysis eigenvalue standard error calculations

I am trying to use the machinery of linear discriminant function analysis to identify group membership for a dataset with many groups, and few members (2) per group. The MASS package lda() function conveniently returns eigenvectors specifying the linear combination of my group member covariates whi

Re: [R] discriminant function

Thank you all for the quick responses. However, I'm not sure I unterstand the scaling matrix (denote S henceforth) correcty. An observation x will be transformed by Sx into a new vector space with the properties given by the description. What is now the direction perpendicular to the seperating pla

Re: [R] discriminant function

Stefan, I asked the same question last week. As Brian Ripley, its author, said then (and others), the only way to see what's going on is to read the code. It's pretty complicated statistically (that's why the performance is so good!), many of the details are in chapter 2 of Pattern Recognition

Re: [R] discriminant function

On 26 Aug 2003, Stefan [ISO-8859-1] Böhringer wrote: > How can I extract the linear discriminant functions resulting from a LDA > analysis? > > The coefficients are listed as a result from the analysis but I have not > found a way to extract these programmatically. No refrences in the > archives

[R] discriminant function

How can I extract the linear discriminant functions resulting from a LDA analysis? The coefficients are listed as a result from the analysis but I have not found a way to extract these programmatically. No refrences in the archives were found. Thank you very much, Stefan ___