Nothing
corPlot2 <- function(x, new = FALSE, col, minCor = 0.5, labels = FALSE,
row.width = 6, column.height = 6,
lab.both.axes = TRUE, fontsize.axis = 12,
title = "", fontsize.title = 16, signifBar = 2){
corr <- x
if (new)
corr <- cor(x, use = "pairwise.complete.obs")
if (minCor < -1 | minCor > 1)
stop("'minCor' has to be in [-1, 1]")
if (missing(col))
col <- brewer.pal(9, "RdYlGn")
if(is.character(labels)){
colnames(corr) <- labels
rownames(corr) <- labels
}
col.fun <- colorRamp2(breaks = seq(minCor, 1, length.out = length(col)),
colors = col)
lgd <- list(title = "correlation",
col_fun = col.fun,
at = signif(seq(min(min(corr, na.rm = TRUE), minCor), 1,
length.out = length(col)), signifBar),
legend_height = unit(8, "cm"))
if(!lab.both.axes) colnames(corr) <- 1:ncol(corr)
ht <- Heatmap(corr, cluster_rows = FALSE,
cluster_columns = FALSE, col = col.fun,
name = "cor", row_names_side = "left",
heatmap_legend_param = lgd,
row_names_max_width = unit(row.width, "cm"),
row_names_gp = gpar(fontsize = fontsize.axis),
column_names_max_height = unit(column.height, "cm"),
column_names_gp = gpar(fontsize = fontsize.axis))
draw(ht, column_title = title,
column_title_gp = gpar(fontsize = fontsize.title))
invisible(ht)
}
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