#' Plots the difference between splits of different runs
#'
#' @importFrom grDevices dev.off pdf
#' @importFrom graphics abline hist layout legend lines par points polygon rect title
#'
#' @param output A list of convenience.diag type
#' @param minimumESS The threshold for the ESS, default value is 625
#' @param fill_color The color for the dots on the plot
#' @param filename A filename to save the table, if NULL the table will be printed
#' @param per_run If the plot should distinguish the pairwise comparison between runs with different symbols. Default value is FALSE
#' @param xlab Defines the label for the x-axis. To remove the label set to NA. Default = NULL
#' @param ylab Defines the label for the y-axis. To remove the label set to NA. Default = NULL
#' @param title Defines the title of the plot. To remove the title set to NA. Default = NULL
#' @param ... (various) Additional arguments passed to plot()
#'
#' @export
plotDiffSplits <- function(output, minimumESS = 625, fill_color = NULL, filename = NULL, per_run = FALSE, xlab = NULL, ylab = NULL, title=NULL, ...){
col_threshold <- "gray69"
if( is.null(fill_color) ){
fill_color <- "seagreen4"
}
if( !(is.null(filename)) ){
pdf(file = filename, width = 4.5, height = 4.5)
}
if( minimumESS == 625) {
fdir <- system.file("thresholds/expectedDiff_625.rds", package = "convenience")
exp_diff_runs <- readRDS(fdir)
}
else exp_diff_runs <- expectedDiffSplits(minimumESS)
## Calculate the minimum ESS between runs for each split
ess_min_between_runs <- matrix(ncol=length(output$tree_parameters$frequencies), nrow=nrow(output$tree_parameters$ess))
n_runs <- length(output$tree_parameters$ess)
count <-1
for (i in 1:(n_runs-1)) {
for (j in (i+1):n_runs) {
for (z in 1:nrow(output$tree_parameters$ess)) {
ess_min_between_runs[z,count] <- min(output$tree_parameters$ess[z,i], output$tree_parameters$ess[z,j], na.rm = T)
}
count <- count + 1
}
}
row.names(ess_min_between_runs) <- row.names(output$tree_parameters$ess)
list_freq <- list()
list_diff <- list()
list_freq_low_ess <- list()
list_diff_low_ess <- list()
for (i in 1:length(output$tree_parameters$frequencies)) {
frequencies <- vector()
differences <- vector()
freq_low_ess <- vector()
diff_low_ess <- vector()
for (j in names(output$tree_parameters$frequencies[[i]])) {
if ( j %in% row.names(ess_min_between_runs)){
if ( ess_min_between_runs[j, i] < minimumESS ){
freq_low_ess <- c( freq_low_ess, as.vector(unlist(output$tree_parameters$frequencies[[i]][j])) )
diff_low_ess <- c( diff_low_ess, as.vector(unlist(output$tree_parameters$compare_runs[[i]][j])) )
}
else{
frequencies <- c( frequencies, as.vector(unlist(output$tree_parameters$frequencies[[i]][j])) )
differences <- c( differences, as.vector(unlist(output$tree_parameters$compare_runs[[i]][j])) )
}
}
else{
frequencies <- c( frequencies, as.vector(unlist(output$tree_parameters$frequencies[[i]][j])) )
differences <- c( differences, as.vector(unlist(output$tree_parameters$compare_runs[[i]][j])) )
}
}
list_freq[[i]] <- frequencies
list_diff[[i]] <- differences
list_freq_low_ess[[i]] <- freq_low_ess
list_diff_low_ess[[i]] <- diff_low_ess
}
x_axis <- exp_diff_runs[1,]
y_axis <- exp_diff_runs[2,]
y_lim <- max(unlist(list_diff), y_axis, unlist(list_diff_low_ess), na.rm = T)
y_lim <- y_lim + y_lim*0.5
if( is.null(title)) title <- "Difference in Split Frequencies" else title <- title
par(mar = c(4.1, 4.9, 2.1, 1.3))
plot <- plot(NA,
xlab = NA,
ylab = NA,
main = title,
cex.main = 0.9,
xlim = c(0.0,1.0),
ylim = c(0.0, y_lim),
las = 1)
plot <- polygon(x_axis, y_axis, col = "gray89", border = NA)
x_extra <- c(0.0, 0.01, 0.99, 1.0, 0.0)
y_extra <- c(0.0, min(y_axis), min(y_axis), 0.0, 0.0)
plot <- polygon(x_extra, y_extra, border = NA, col = "gray89")
plot <- lines(x_axis, y_axis, col = col_threshold, lwd=2)
if( is.null(xlab)) xlab <- "Split frequency" else xlab <- xlab
if( is.null(ylab)) ylab <- "Difference between splits" else ylab <- ylab
title(xlab = xlab, outer = F, line = 2.5)
title(ylab = ylab, outer = F, line = 3.5)
if( length(output$tree_parameters$frequencies) > 1 & per_run == TRUE ){
for (i in 1:length(output$tree_parameters$frequencies)) {
plot <- points(unlist(list_freq[i]), unlist(list_diff[i]), pch = i, col = fill_color)
if (length(list_freq_low_ess[i]) > 0){
plot <- points(unlist(list_freq_low_ess[i]), unlist(list_diff_low_ess[i]), pch = i, col = "tan1")
legend("topleft",
legend = c(paste("ESS",expression("<"),minimumESS),paste("ESS",expression(">"),minimumESS)),
pch = c(16,16),
col = c("tan1",fill_color),
box.lty = 2,
box.col="gray7",
cex = 0.7,
inset = 0.01)
}
legend("topright",
legend = names(output$tree_parameters$frequencies),
pch = c(1:length(output$tree_parameters$frequencies)),
box.lty = 2,
box.col = "gray7",
cex = 0.7,
inset = 0.01)
}
} else{
frequencies <- unlist(list_freq)
differences <- unlist(list_diff)
freq_low_ess <- unlist(list_freq_low_ess)
diff_low_ess <- unlist(list_diff_low_ess)
plot <- points(frequencies, differences, pch = 16, col = fill_color)
if (length(freq_low_ess) > 0){
plot <- points(freq_low_ess, diff_low_ess, pch = 16, col = "tan1")
legend("topright",
legend = c(paste("ESS",expression("<"),minimumESS),paste("ESS",expression(">"),minimumESS)),
pch = c(16,16),
col = c("tan1",fill_color),
box.lty = 2,
box.col="gray7",
cex = 0.7,
inset = 0.01)
}
}
if( !(is.null(filename)) ){
dev.off()
}
}
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