You may fit the model using lm() directly - R will set up a coding for qualitative predictor automatically (taking experiments as qualitative predictor).
HTH Wuming On 5/18/05, 孟欣 <[EMAIL PROTECTED]> wrote: > Hello sir: > Here's a question on covariance analysis which needs your help. > There're 3 experiments,and x refers to control while y refers to experimental > result. > The purpose is to compare the "y" values across the 3 experiments. > > 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 PROTECTED] > 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 > ______________________________________________ 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