#' Indices 4 panel plots
#'
#' Shows observed and predicted indices regular and log scale, residuals over time, and resid histogram.
#' @param asap name of the variable that read in the asap.rdat file
#' @param index.names names of indices
#' @param save.plots save individual plots
#' @param od output directory for plots and csv files
#' @param plotf type of plot to save
#' @param liz.palette color definitions
#' @export
PlotIndices4Panel <- function(asap,index.names,save.plots,od,plotf,liz.palette){
par(mar=c(4,4,3,2), oma=c(1,1,1,1), mfrow=c(2,2) )
for (i in 1:asap$parms$nindices) {
index.year <- unlist(asap$index.year[i])
index.obs <- unlist(asap$index.obs[i])
index.pred <- unlist(asap$index.pred[i])
index.std.resid <- unlist(asap$index.std.resid[i])
plot(index.year, index.obs, type='p', col=liz.palette[i], pch=1,
xlab="Year", ylab="Index Value", xlim=c(asap$parms$styr,asap$parms$endyr),
ylim=c(0, 1.1*max(index.obs)) )
lines(index.year, index.pred, col=liz.palette[i], lwd=2)
log.ob.min <- log(index.obs)-1.96*unlist(asap$index.sigma[i])
log.ob.max <- log(index.obs)+1.96*unlist(asap$index.sigma[i])
plot(index.year, log(index.obs), type='p', col=liz.palette[i], pch=1,
xlab="Year", ylab="Ln(Index)", xlim=c(asap$parms$styr,asap$parms$endyr),
ylim=c(min(log.ob.min,log(index.obs)), 1.1*max(log.ob.max,log(index.pred))) )
lines(index.year, log(index.pred), col=liz.palette[i], lwd=2)
arrows(index.year, log.ob.min, index.year, log.ob.max, length=0)
title (paste0("Index ", i, " (", index.names[i], ")"), outer=T, line=-1 )
plot(index.year, index.std.resid, type='h', lwd=2, col=liz.palette[i],
xlab="Year", ylab="Log-scale Std. Residual", xlim=c(asap$parms$styr,asap$parms$endyr))
abline(h=0)
hist(index.std.resid, plot=T, xlab="Std. Residual", ylab="Probability Density", freq=F, main=NULL)
if (save.plots) savePlot(paste0(od, "Index.4panel.",i,".",plotf), type=plotf)
} # end i-loop over nindices
par(mfrow=c(1,1))
return()
}
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