Under the null, the distribution of p-values is uniform. You can plot the observed cumulative distribution of p-values against the expected under the null. The function qqpval will help you. I hope you get something better than that:
Jul 7, 2008
Observed and Expected p-values
You have tested hundreds or thousands of hypothesis in a microarray experiment or a large genotyping association study and need to know if you have more significant results than expected by chance alone.
Under the null, the distribution of p-values is uniform. You can plot the observed cumulative distribution of p-values against the expected under the null. The function qqpval will help you. I hope you get something better than that:
Under the null, the distribution of p-values is uniform. You can plot the observed cumulative distribution of p-values against the expected under the null. The function qqpval will help you. I hope you get something better than that:
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