The Benjamini-Hochberg procedure, also known as the False Discovery Rate (FDR) procedure, is a statistical method used in multiple hypothesis testing to control the expected proportion of false discoveries. In this tutorial, we will show you how to apply the procedure to calculate the P-Value Adjusted from scratch using R.
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Apply the Benjamini-Hochberg Procedure from ScratchGet the P-Value Adjusted using the R Built-in FunctionGet the P-Value Adjusted in PythonGet the P-Value Adjusted in Excel/Google SpreadsheetSort: