# Plot Probability Density from DUOS.
helper_duos_pdf_plot <- function(duos_output, estimate, burnin=NA, cri=FALSE, data=FALSE, interact){
if(is.na(burnin)){
burnin <- ceiling(nrow(duos_output$C)/2)
}
C <- duos_output$C
if(burnin>nrow(C)){
stop("The specified burnin is greater than the number of iterations.")
}
# Check if burnin is an integer
if(burnin/ceiling(burnin) < 1){
stop("burnin should be an integer greater than zero.")
}
# Check if burnin is an positive number
if(burnin <= 0){
stop("burnin should be an integer greater than zero.")
}
y_orig <- duos_output$y
min_y <- min(y_orig)
max_y <- max(y_orig)
scale_l <- duos_output$scale_l
scale_u <- duos_output$scale_u
if(min_y<0 | max_y>1){
x <- (1:999/1000)*(max_y+scale_u-(min_y-scale_l))+(min_y-scale_l);
duos_density <- duos_pdf(x,duos_output,burnin, estimate = estimate)
}else{
duos_density <- duos_pdf(1:999/1000,duos_output,burnin, estimate = estimate)
}
#Get x
x <- duos_density$x
PDF <- duos_density$pdf
#Get data
plot_density <- data.frame(x,PDF)
names(plot_density) <- c("X", "PDF")
#Get credible intervals
crdble <- data.frame(duos_density$cri)
names(crdble) <- c("lower", "upper")
crdble$X <- duos_density$x
data_y <- data.frame(duos_output$y)
names(data_y) <- "data"
data_y$y <- rep(0, nrow(data_y))
data_y$Data <- data_y$data
## Creation of Plot ---------------------------------------------------------------
g <- ggplot(data_y, aes(x=data))+
theme(axis.title = element_text(size = 12))+
theme_bw()+expand_limits(y=0)
if(data==TRUE){
g <- g+geom_histogram(aes(y=..density..), fill="grey", color="black")+
geom_point(aes(x = Data, y = y), alpha = 0)
}
if(cri==TRUE){
g <- g+geom_line(data=crdble, aes(X,lower), color="red",size=.6)+
geom_line(data=crdble, aes(X,upper), color="red", size=.6)
}
if(interact == TRUE){
if(data!=TRUE){
suppressMessages(plotly::ggplotly(g+geom_line(data=plot_density, aes(X, PDF),color="blue", size=.8)+ylab("Density")+
xlab("X"), tooltip=c("X","PDF", "lower", "upper")))
}else{
suppressMessages(plotly::ggplotly(g+geom_line(data=plot_density, aes(X, PDF),color="blue", size=.8)+ylab("Density")+
xlab("X"), tooltip=c("X","PDF", "lower", "upper", "Data")))
}
}else{
g+geom_line(data=plot_density, aes(x, PDF),color="blue", size=.8)+ylab("Density")+
xlab("X")
}
}
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