From: manav ram <culaterz2003_at_yahoo.com>

Date: Sat 28 May 2005 - 00:55:50 EST

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

Date: Sat 28 May 2005 - 00:55:50 EST

Hello,

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

form""Object>Query>mean_grp1>SD_grp1>mean_grp2>SD_grp2""

A>3.890>3.315>1.105>1.395>0.345 B>0.915>1.193>0.334>0.638>0.034 C>2.059>2.155>0.614>1.042>0.159 D>1.372>0.901>0.314>0.384>0.174

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

Manav

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

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