ANOVA: New User question

I am a relatively new user of R, and have a question on ANOVA

I have a sumamrised data set of the form (data dummy only) 

Cell	Treatment	Total	Resp		
1	1		25000	682	
1	0		35000	600	
2	1		5000	40	
2	0		4000	30	
3	1		36000	2400	
3	0		400	250	

and wish to perform ANOVA. Because its sumamrised I need to tell R to
treat the data as if I had all the individual rows. Otherwise, I only
end up with 1 or 2 DF.

I know in SAS, ANOVA has a 'FREQ' option ... does something similar
exist in R?

  

An explicit rep(x, count) does the same as the FREQ option. Without the
group standard deviations, neither will produce anything useful, though.

If you do have SDs, there's a technique used in my book

fake.trypsin<-local({
xrnorm<-function(n,xbar,s){
        t<-rnorm(n);t<-(t-mean(t))/sd(t);xbar+s*t}
g.1<-xrnorm(32,128,50.9)
g.2<-xrnorm(137,152,58.5)
g.3<-xrnorm(38,194,49.3)
g.4<-xrnorm(44,207,66.3)
g.5<-xrnorm(16,215,60)
g.6<-xrnorm(4,218,14)
trypsin<-c(g.1,g.2,g.3,g.4,g.5,g.6)
grp<-rep(1:6,c(32,137,38,44,16,4))
grpf<-factor(grp)
data.frame(trypsin,grp,grpf)})

or you can use the equivalent of this SAS trick:

http://ssc.utexas.edu/consulting/answers/sas/sas48.html

O__  ---- Peter Dalgaard             ?ster Farimagsgade 5, Entr.B
  c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
 (*) \(*) -- University of Copenhagen   Denmark      Ph:  (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk)              FAX: (+45) 35327907