From: ÃÏÐÀ <xmeng_at_capitalbio.com>

Date: Thu 19 May 2005 - 01:43:59 EST

Xin Meng

Capitalbio Corporation

National Engineering Research Center

for Beijing Biochip Technology

Microarray and Bioinformatics Dept.

Research Engineer

Tel: +86-10-80715888/80726868-6364/6333 Fax: +86-10-80726790

Email£ºxmeng@capitalbio.com

Address:18 Life Science Parkway,

Changping District, Beijing 102206, China

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 Thu May 19 01:15:06 2005

Date: Thu 19 May 2005 - 01:43:59 EST

experiment_1:

x:0.1 0.2 0.3 0.4 0.5

y:0.5 0.6 0.6 0.7 0.9

experiment_2:

x:1 2 3 4 5

y:3 4 6.5 7.5 11

experiment_3:

x:10 20 30 40 50

y:18 35 75 90 98

Apparently,the control("x") isn't at the similar level so that we can't compare the "y" directly through ANOVA. We must normalize "y" via "x" in order to eliminate the influence of different level of "x". The method of normalize I can get is "covariance analysis",since "x" is the covariant of y.

My question is:

How to perform "covariance analysis" by using R?
After this normalization,we can get the according "normalized y" of every "original y".

All in all,the "normalized y" of every "original y" is what I want indeed.

Thanks a lot!

My best regards!

Xin Meng

Capitalbio Corporation

National Engineering Research Center

for Beijing Biochip Technology

Microarray and Bioinformatics Dept.

Research Engineer

Tel: +86-10-80715888/80726868-6364/6333 Fax: +86-10-80726790

Email£ºxmeng@capitalbio.com

Address:18 Life Science Parkway,

Changping District, Beijing 102206, China

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 Thu May 19 01:15:06 2005

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