Version 0.94 is not assigning significant ocurrences correctly

[brenoliisboa]

As written in the title, v.0.94 is having this issue (top image). Version 0.92 plots correctly p value under 0.05 (bottom image).
[..]
method = c("color"),
tl.col = "black",
order = "hclust",
p.mat = p_value_matrix,
sig.level = 0.05,
insig = "label_sig"
[..]

[taiyun]

Can you show me your data and code？

[david-priest]

I'm getting the same issue. If order = "original", then the significances and correlations line up fine, but if order = "hclust", then the correlations and significances no longer align. The significances remain in the original position. I shared correlation and p value matrices with my colleague, and they did not get the issue, so it might be related to version.

Here's a workaround that performs the clustering externally

# Load necessary libraries
library(corrplot)
library(Hmisc)

# Prepare correlation matrix
MS2 <- cor(data2, use = "pairwise.complete.obs", method = c("spearman"))

# Prepare matrix of statistical significance
res <- cor.mtest(data2, conf.level = 0.95, alternative = c("two.sided"), method = c("spearman"), exact = F)

# Perform hierarchical clustering on the correlation matrix
hc <- hclust(as.dist(1 - MS2), method = 'complete')

# Extract the order of rows and columns
order <- hc$order

# Reorder the correlation matrix and p-value matrix
MS2_ordered <- MS2[order, order]
res_p_ordered <- res$p[order, order]

# Plot the correlation matrix with the reordered p-value matrix
corrplot(MS2_ordered, method = "square", type = "full", diag = T, tl.cex = 0.75, tl.col = "black", na.label = "NA", 
         p.mat = res_p_ordered, insig = "label_sig", sig.level = c(0.001, 0.01, 0.05), pch.cex = 0.9, pch.col = "black", 
         order = "original", hclust.method = 'complete', tl.srt = 45, title = title, mar = c(0, 0, 1, 0), cl.cex = 1)

[taiyun]

Many Thanks. I fixed it and will submit new version v0.95 to CRAN soon.