\HeaderA{rawpCheck}{Raw p-value distribution from limma analysis by a mouse click}{rawpCheck}
\keyword{hplot}{rawpCheck}
\begin{Description}\relax
This function allow to visualize the histogram of raw p-value distribution generated by limma analysis.
\end{Description}
\begin{Usage}
\begin{verbatim}
rawpCheck()
\end{verbatim}
\end{Usage}
\begin{Details}\relax
The histogram of raw p-value distribution will show if raw p-values are uniform in the 
non significant range and therefore the BH correction can be applied.
\end{Details}
\begin{Note}\relax
BH is the most used method for the correction of type I errors in microarray analysis.
However, it has some limitation due to the initial hypotheses:
The gene expressions are independent from each other.
The raw distribution of p values should be uniform in the non significant range.
\end{Note}
\begin{Author}\relax
Raffaele A Calogero
\end{Author}
\begin{References}\relax
To know more see limma package help
\end{References}

