Thank you, corr plot does fill the requirements for my question.
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I used the corr.test function to get the correlation values between two matrices and their p adjusted values.:
test <- corr.test(x, y, method="spearman", adjust="BH")
I have the correlation in test$r and the p adjusted values in test$p.adj. The rownames and colnames of both matrices are the same
I would like to create a heatmap where I only show correlations that pass the p.adj values of <0.5. Any help is appreciated
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