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#' Create pdf diagnostic report with ggplot
#'
#' @param m An nm object.
#'
#' @export
gof_ggplot <- function(m){
NMproject::wait_finish(m) ## ensures m is finished
d <- NMproject::output_table_first(m) ## reads in all table files
library(ggplot2)
pl <- list()
p <- ggplot(d,aes_string(x="PRED",y="DV")) + theme_bw() +
geom_abline(slope=1)+
geom_point()
pl[[length(pl)+1]] <- p
pl[[length(pl)+1]] <- p + scale_x_log10() + scale_y_log10()
p <- ggplot(d,aes_string(x="IPRED",y="DV")) + theme_bw() +
geom_abline(slope=1)+
geom_point()
pl[[length(pl)+1]] <- p
pl[[length(pl)+1]] <- p + scale_x_log10() + scale_y_log10()
maxCWRES <- max(abs(d$CWRES),na.rm=TRUE)
p <- ggplot(d,aes_string(x="PRED",y="CWRES")) + theme_bw() +
geom_hline(yintercept=0)+
geom_point() + scale_y_continuous(limits=c(-1.05*maxCWRES,1.05*maxCWRES))
pl[[length(pl)+1]] <- p
p <- ggplot(d,aes_string(x="TIME",y="CWRES")) + theme_bw() +
geom_hline(yintercept=0)+
geom_point() + scale_y_continuous(limits=c(-1.05*maxCWRES,1.05*maxCWRES))
pl[[length(pl)+1]] <- p
maxNPDE <- max(abs(d$NPDE),na.rm=TRUE)
p <- ggplot(d,aes_string(x="PRED",y="NPDE")) + theme_bw() +
geom_hline(yintercept=0)+
geom_point() + scale_y_continuous(limits=c(-1.05*maxNPDE,1.05*maxNPDE))
pl[[length(pl)+1]] <- p
p <- ggplot(d,aes_string(x="TIME",y="NPDE")) + theme_bw() +
geom_hline(yintercept=0)+
geom_point() + scale_y_continuous(limits=c(-1.05*maxNPDE,1.05*maxNPDE))
pl[[length(pl)+1]] <- p
pdf(file.path(NMproject::results_dir(m),
paste0("gof_ggplot_run_",
NMproject::run_id(m),
".pdf")))
print(pl)
dev.off()
}
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