Dear Jerad
I may have completely misunderstood your question but you do know that
you can write your own function and use it in sapply where you have
summary? You could incorporate calls to summary or to coef or somet
other extractor or you could use the $ tool.
On 25/01/2015 02:01, Moxley, Jerad wrote:
I’m trying to test what growth functions best fit individual subjects. I’m
wanting compare linear, quadratic, cubic etc. Here is the example from the
cubic curve.
b3a<-by(c,id,function(x) lm(w~agec+ageq+agecub,data=x))
I can get quiet a bit of information out of sapply(b3a,summary) but it reports
something like this for each person
37
call Expression
terms Expression
residuals Numeric,62
coefficients Numeric,16
aliased Logical,4 4
sigma 67.05895
df Integer,3
r.squared 0.9822921
adj.r.squared 0.9813762
fstatistic Numeric,3
cov.unscaled Numeric,16
I could obviously compute by hand the r squared change and then compute a p
value based for what the partial r is for the variable but I’d like to have a
simpler solution to it. Can I get the information or is there an package that I
should download that will do what I’m trying to do much simpler?
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.
-----
No virus found in this message.
Checked by AVG - www.avg.com
Version: 2015.0.5645 / Virus Database: 4273/8997 - Release Date: 01/25/15
--
Michael
http://www.dewey.myzen.co.uk
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.
