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[morpheus.git] / reports / genfig.R
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1nvals <- c(5000,10000,100000,500000,1000000)
2for (link in c("logit","probit"))
3{
4 for (d in c(2,5,10))
5 {
6 par(mfrow=c(2,2), lwd=2, cex.axis=2, cex=2)
7 res <- list()
8 for (n in nvals)
9 {
10 load(paste("multirun_",n,"_",d,"_",link,".RData",sep=""))
11 res <- c(res, mr)
12 }
13 for (i in 1:2) #our, fm
14 {
15 for (j in 1:2) #beta, p,b
16 {
17 if (j == 1) #beta
18 {
19 for (dim in 1:d)
20 {
21 ypts <- c()
22 for (k in 1:5)
23 ypts <- c(ypts, mean(sapply(1:length(res[[k]][[i]]), function(x) mean((res[[k]][[i]][[x]][2:(d+1),dim] - mr_params$beta[,dim])^2))))
24 plot(nvals, ypts)
25 if (dim < d)
26 par(new=TRUE)
27 }
28 }
29 else #p + b
30 {
31 for (rowidx in c(1,d+2))
32 {
33 ypts <- c()
34 ref <- if (rowidx==1) { mr_params$p } else { mr_params$b }
35 for (k in 1:5)
36 ypts <- c(ypts, mean(sapply(1:length(res[[k]][[i]]), function(x) mean((res[[k]][[i]][[x]][rowidx,] - ref)^2))))
37 plot(nvals, ypts)
38 if (rowidx==1)
39 par(new=TRUE)
40 }
41 }
42 }
43 }
44 }
45}