[R] candisc

[Michael Friendly]

?candisc would have told you that

  Computational details for the one-way case are described in Cooley & 
Lohnes (1971), and in the SAS/STAT User's Guide, "The CANDISC procedure: 
Computational Details," 
http://support.sas.com/onlinedoc/913/getDoc/en/statug.hlp/candisc_sect12.htm. 


-Michael


Pete Shepard wrote:
> Hello,
> 
> I have a question regarding the candisc package. My data are:
> 
> species    three    five
> 1    2.95    6.63
> 1    2.53    7.79
> 1    3.57    5.65
> 1    3.16    5.47
> 2    2.58    4.46
> 2    2.16    6.22
> 2    3.27    3.52
> 
> I put these in a table and then a linear model
>  >newdata <- lm(cbind(three, five) ~ species, data=rawdata)
> 
> and then do a candisc on them
>  >candata<-candisc(newdata)
> 
> Here are my scores;
>> candata$scores
> 
>   species       Can1
> 1       1 -2.3769280
> 2       1 -2.7049437
> 3       1 -3.4748309
> 4       1 -0.9599825
> 5       2  4.2293774
> 6       2  2.6052193
> 7       2  2.6820884
> 
> and here are my coefficients
>> candata$coeffs.raw
>            Can1
> three -5.185380
> five  -2.160237
>> candata$coeffs.std
>            Can1
> three -2.530843
> five  -2.586620
> 
> 
> My question is, what is the precise equation that gives the candata$scores?
> 
> Thanks
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 


-- 
Michael Friendly     Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University      Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street    http://www.math.yorku.ca/SCS/friendly.html
Toronto, ONT  M3J 1P3 CANADA