#' Plotting of scale-dependent features.
#'
#' Scale-dependent features are plotted using differences of smooths at
#' neighboring scales. The features are summarized by their posterior mean.
#'
#' \code{x} corresponds to the \code{smmean}-part of the
#' output of \code{\link{mrbsizeRgrid}}.
#'
#' @param x List containing the posterior mean of all differences of smooths.
#' @param color.pallet The color pallet to be used for plotting scale-dependent
#' features.
#' @param turnOut Logical. Should the output images be turned 90 degrees
#' counter-clockwise?
#' @param title Vector containing one string per plot. The required
#' number of titles is equal to \code{length(mrbOut$smMean)}. If no \code{title}
#' is passed, defaults are used.
#' @param aspRatio Adjust the aspect ratio of the plots. The default \code{aspRatio = 1}
#' produces square plots.
#' @param ... Further graphical parameters can be passed.
#' @return Plots of the differences of smooths are created.
#' @examples
#' # Artificial sample data
#' set.seed(987)
#' sampleData <- matrix(stats::rnorm(100), nrow = 10)
#' sampleData[4:6, 6:8] <- sampleData[4:6, 6:8] + 5
#'
#' # Generate samples from multivariate t-distribution
#' tSamp <- rmvtDCT(object = sampleData, lambda = 0.2, sigma = 6, nu0 = 15,
#' ns = 1000)
#'
#' # mrbsizeRgrid analysis
#' mrbOut <- mrbsizeRgrid(posteriorFile = tSamp$sample, mm = 10, nn = 10,
#' lambdaSmoother = c(1, 1000), prob = 0.95)
#'
#' # Posterior mean of the differences of smooths
#' plot(x = mrbOut$smMean, turnOut = TRUE)
#'
plot.smMeanGrid <- function(x, color.pallet = fields::tim.colors(), turnOut = TRUE,
title, aspRatio = 1, ...) {
if (methods::hasArg(title) == TRUE && length(title) != length(x)) {
stop("Number of titles must be equal to the number of plots")
}
graphics::par(mfrow = c(ceiling(length(x) / 2), 2))
graphics::par(mar = c(2, 2, 2, 2), oma = c(2, 2, 2, 2))
if (methods::hasArg(title) == FALSE) {
namesVec <- names(x)
namesVec <- sapply(strsplit(namesVec, "_"), "[", 1)
namesVec <- gsub("NA", "infinity", namesVec)
}
for(i in 1:length(x)) {
if (methods::hasArg(title) == FALSE) {
if (i < length(x)) {
mainTxt <- as.expression(
substitute(
paste(E, "(", z[y], "|y) for ", lambda, "-range = [", x, " - ", w, "]"),
list(x = as.name(namesVec[i]), y = i, w = as.name(namesVec[i + 1]))
)
)
} else {
mainTxt <- as.expression(
substitute(
paste(E, "(", z[y], "|y) for ", lambda, "-range = [", x, "]"),
list(x = as.name(namesVec[i]), y = i)
)
)
}
} else {
mainTxt <- title[i]
}
if(turnOut) {
graphics::image(turnmat(x[[i]]), col = color.pallet,
main = mainTxt, xaxt = "n", yaxt = "n", cex.main = 1,
asp = aspRatio, bty = "n", ...)
} else {
graphics::image(x[[i]], col = color.pallet,
main = mainTxt, xaxt = "n", yaxt = "n", cex.main = 1,
asp = aspRatio, bty = "n", ...)
}
}
}
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