#' Plot of Systematic Improvement Probability matrix
#'
#' Interface to \code{corrplot::corrplot()}
#'
#' @param X -
#' @param method -
#' @param order -
#' @param main -
#' @param label -
#' @param cex.lab -
#' @param gPars -
#'
#' @return
#' @export
#'
plotSIPMat = function(
X,
method = 'circle',
order = TRUE,
main = '',
label = 0,
cex.lab = 1,
gPars = ErrViewLib::setgPars()
){
# Expose gPars list
for (n in names(gPars))
assign(n,rlist::list.extract(gPars,n))
par(
mfrow = c(1, 1),
mar = mar,
mgp = mgp,
# pty = pty,
tcl = tcl,
cex = cex,
lwd = lwd
)
col2 <- colorRampPalette(
c("#67001F", "#B2182B", "#D6604D", "#F4A582",
"#FDDBC7", "#FFFFFF", "#D1E5F0", "#92C5DE",
"#4393C3", "#2166AC", "#053061"))
colors = rev(c(col2(200),col2(200))) # Bypass bug in corrplot
diag(X) = 0 # Replace NAs
if (order) {
io = order(rowMeans(X),decreasing = TRUE)
X = X[io,io]
}
corrplot::corrplot(
X,
cl.lim = c(0,1),
col = colors,
is.corr = FALSE,
diag = TRUE,
method = method,
order = 'original',
tl.col = 'black',
tl.cex = cex.lab,
cl.cex = cex.lab)
title(main,line=0)
if(label > 0)
mtext(
text = paste0('(', letters[label], ')'),
side = 3,
adj = 0.975,
# las = 1,
cex = cex,
line = 0.2)
# if(unc) {
# ncolors=11
# colors=fields::two.colors(
# n=ncolors, start="white", end="red",middle="pink")
# } else {
# ncolors = 11
# colors=fields::two.colors(
# n=ncolors, start="blue", end="red", middle="white")
# }
# # colors = inlmisc::GetColors(11,scheme ='iridescent')
# X[is.na(X)] = -0.05
# zlim = c(-0.1,1)
#
}
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