[R] Using R for classifying new samples

From: manav ram <culaterz2003_at_yahoo.com>
Date: Sat 28 May 2005 - 00:55:50 EST

I do not have any statistical background, So I shall apologise if I am asking trivial question or help.

I am trying to work with R.
The problem I have on hand is:
I have 2 sets of data(means & SD for each sample in the group of both sets). The sample size is massive(2000+ in each grp).
I have a new set of experimental data and I like to classify this to either of the grps based on statistical evidence.
I thought using Linear discriminant analysis of R(MASS package) I can solve this problem.
But unfortunately I am not quite sure its the right way and further with given my background I am not even sure how to prepare the data to test.

To explain my problem further, I have prepared a small set of data to be tested....so that it might be easy to suggest the right way to go ahead.The data is in the


What I would like to test is if the "query" belongs to grp 1 or 2(for all my samples,2000+)and if it can read out to me teh query belongs to grp_1 or grp_2. Is there some good examples that I can refer to which can teach me step wise right from preparing the data to testing???or would there be someone who can help me with this problem?????

Thanks a lot for your time...look forward to hear some help and suggestions


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 Received on Sat May 28 01:06:21 2005

This archive was generated by hypermail 2.1.8 : Fri 03 Mar 2006 - 03:32:13 EST