search for: trts

...plus) plot(x=0,y=0,type="n",xlim=c(minx,maxx),ylim=c(miny,maxy),lab=c(2,4,0),xlab="month",ylab="Relative Growth Rate",axes=FALSE) axis(1,at=1:3,month.abb[1:3]) #axis(1,at=1:3,labels=c("Jan","Feb","Mar")) has the same effect axis(2) trts=c("T1","T2");syms=c(21,24) for (i in 1:2) { A=subset(RGR,treatment==trts[i]) points(x=A$xvals,y=A$yvals,pch=syms[i]) segments(A$xvals,A$yvals-A$errminus,A$xvals,A$yvals+A$errplus) #similar to symbols(x=A$xvals,y=A$yvals,boxplots=cbind(0,0,A$errminus,A$errplus,0.5),inch...

...or the gnls fit was (using a 'difference parameterization' like SAS): options(contrasts=c("contr.SAS","contr.poly")) VA1.gnls<-gnls(DRAM~SSlogis(MED,phi1,phi2,phi3), data=VA1,params=list(phi1~TRAT,phi2~TRAT,phi3~TRAT), start=c( 23.36209, ****avg of phi1 for the 10 trts ********* -0.854979000000004, ***** diff. between avg and nls estimate of TRAT#2 ****** .....and so on I´d appreciate any comment Thanks CM

All, Is there an efficient way to apply say "mean" or "median" to a dataframe according to say all combinations of two variables in the dataframe? Below is a simple example and the outline of a "manual" solution that will work but is not very efficient (could also generalize this to a function). Searched the archives and docs but didn't see anything close to

Dear R users, I am using v2.0.1 on Windows 2000. I have read a ".dat" file with several vectors, including 2 factors (2 levels x 3 levels), and a vector of responses, into R. There are no unique row names. When I try plot(x,y) or lm(y~x) the following error is returned: Error in model.frame(formula, rownames,...extranames: variable lengths differ What am I doing wrong? I am a