Hello,

I've written a small function that's supposed to save me some time, and
it's ending up killing it- the intention is to iteratively subset a dataset
fram on framevec, fit a model (either lm or nls depending on type) and
return the r2 or AIC from the model, respectively. Although as far as I can
tell in my code the plots are dependent on the fit of the model to the data
and the r2 and AIC reported are also dependent on the re-fitted model, the
plots show the same linear or non-linear model used for every subset of the
data.

However, the r2 and AIC values come back different for each subset.

When I do the subsetting and model fitting outside the function, the model
fit is different, with different slopes, for each subset of the data.

I'm going to end up doing this without the function if I don't solve this
soon. Any help much appreciated.


#a is the number of times to loop the tenth of percent, b is first
dimension of mfrow, frame is the dataframe, framevec is the vector within
the dataframe you're using to subset (should be a percentage), form 1 is
the simple y~x for the plot, form 2 is y~x for regression, type is lm 1 or
2 nls ,form 3 is the formula for the nls, sx and sn are the start values
for nls

plotter<-function(a,b,fram,framvec,form1,form2,form3, type=1, xlm, ylm,
sx=.01,sn=25){
g<-ceiling(a/b)
par(mfrow=c(b,g))
 num<-rep(0,a)
sub.plotter<-function(i,fram,framvec,form1,form2,form3,type,
xlm,ylm,var1,var2){
temp.i<-fram[framvec <=(i*.10),]
 plot(form1, data=temp.i, xlim=c(0,xlm), ylim=c(0,ylm), main=((i-1)*.10))
if(type==1){
 mod<-lm(form2,data=temp.i)
r2<-summary(mod)$adj.r.squared
num<-r2
 legend("bottomright", legend=signif(r2), col="black")
abline(mod)
 num}
else{
if(type==2){
 try(mod<-nls(form3, data=temp.i, start=list(x=sx,n=sn),
na.action="na.omit"), silent=TRUE)
try(x1<-summary(mod)$coefficients[1,1], silent=TRUE)
 try(n1<-summary(mod)$coefficients[2,1], silent=TRUE)
try(lines((1/exp(c(0:70)*x1)*n1)), silent=TRUE)
 try(num[i]<-AIC(mod), silent=TRUE)
try(legend("bottomright", legend=round(num[i],3) , col="black"),
silent=TRUE)
 try((num), silent=TRUE)
  }
}}
for(i in 0:a+1){
 num<-sub.plotter(i,fram,framvec,form1,form2,form3,type,xlm,ylm)
}
plot.cor<-function(x){
temp<-a+1
lengthx<-c(1:temp)
 plot(x~c(1:temp))
m2<-lm(x~c(1:temp))
abline(m2)
 n<-summary(m2)$adj.r.squared
legend("bottomright", legend=signif(n), col="black")
 slope<-(coef(m2)[2])# slope
values<-(num)#values for aic or adj r2
r2ofr2<-(n) #r2 of r2 or AIC
 output<-data.frame(lengthx,slope,values,r2ofr2)
}
plot.cor(num)
write.csv(plot.cor(num)$output,"output.csv") # can't seem to use
paste(substitute(form3),".csv",sep="") to name it at the moment
par(mfrow=c(1,1))
}

Ben

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