#'
#'@title Function to extract parameter values from different TCSAM2015 models.
#'
#'@description This function extracts parameters values, together with their limits
#'(if any) from several TCSAM2015 models.
#'
#'@param objs - list of TCSAM2015 model results objects (each is a list with elements 'prsObj' and 'stdObj')
#'@param dp - percent difference between parameter value and upper/lower limits used to flag outliers
#'@param fac - number of std devs to extend uncertainty plots
#'@param verbose - flag (T/F) to print diagnostic info
#'
#'@return - list with two dataframes, one with the parameter info (prsDFR), one with uncertainty info (stdDFR).
#'
#'@details Returned parameter info dataframe has columns case, type, param, init, value, min, max, and scl.
#'
#'@export
#'
extractModelResults.Params<-function(objs,
dp=0.01,
fac=2,
verbose=FALSE){
pdfr<-NULL;
sdfr<-NULL;
cases<-names(objs);
for (case in cases){
#loop over model cases
prs<-objs[[case]]$prsObj;
std<-objs[[case]]$stdObj;
params<-as.character(unique(prs$name));
for (param in params){
if (verbose) cat("processing '",param,"'\n",sep='')
prsp<-prs[prs$name==param,];
nrp<-nrow(prsp);
nrs<-0;
prmw <- gsub("[[:blank:]]",'',param,fixed=FALSE);#need to remove whitespace
splt<-strsplit(prmw,"[[:punct:]]");
prm<-paste(splt[[1]][1],"[",wtsUtilities::formatZeros(splt[[1]][2],width=2),"]",sep='')
if (nrp>0){
stdp<-NULL;
if (!is.null(std)) {
idxs<-std[,2]==prmw;
stdp<-std[idxs,];
nrs<-nrow(stdp);
if ((nrs>0)&&verbose) cat("--Found std entries for '",prmw,"'!\n",sep='')
}
if (verbose) cat('--nrp =',nrp,' nrs =',nrs,'\n')
for (r in 1:nrp){
##process only defined parameters
if (!((prsp$phase[r]==-1)&&(prsp$min[r]==-1)&&(prsp$max[r]==-1))){
if (verbose) cat('--Processing prs for row',r,'\n')
rw<-list();
rw$case <-case;
rw$type <-'scalar';
rw$param<-prm;
if (nrp>1) {
rw$type <-'vector';
rw$param<-paste(prm,"[",wtsUtilities::formatZeros(r,width=2),"]",sep='');
}
rw$init <-prsp$init[r];
rw$value<-prsp$value[r];
rw$min <-prsp$min[r];
rw$max <-prsp$max[r];
rw$scl <-"";
if (is.finite(rw$min)){
if (abs(rw$value-rw$min)/(rw$max-rw$min)<dp/100) rw$scl <-"near min";
if (abs(rw$value-rw$max)/(rw$max-rw$min)<dp/100) rw$scl <-"near max";
}#finite limits
pdfr<-rbind(pdfr,as.data.frame(rw,stringsAsFactors=FALSE));
if (nrs>0){
if (verbose) cat("--processing std\n")
estp <-stdp[r,3];#model estimate
stdv <-stdp[r,4]; #standard dev
if (stdv>0) {
if (verbose) cat("----std>0\n")
cx <-0.5*(rw$min+rw$max);
dx <-rw$max-rw$min;
mnx<-estp-fac*stdv;
if (is.finite(cx)&&(mnx<cx-1.5*dx)) mnx<-cx-1.5*dx;
mxx<-estp+fac*stdv;
if (is.finite(cx)&&(mxx>cx+1.5*dx)) mxx<-cx+1.5*dx;
x<-seq(from=mnx,to=mxx,length.out=51);
y<-0.9*exp(-0.5*((x-estp)/stdv)^2);
vri<-list(case=rw$case,type=rw$type,par=prm,param=rw$param,x=x,y=y);
sdfr<-rbind(sdfr,as.data.frame(vri,stringsAsFactors=FALSE));
}#stdv>0
}#nrs>0
}#parameter defined
}#nrp
}#nrp>0
}#params
}#case
return(invisible(list(prsDFR=pdfr,stdDFR=sdfr)));
}
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