\name{rawpCheck}
\alias{rawpCheck}
\title{ Raw p-value distribution from limma analysis by a mouse click }
\description{
  This function allow to visualize the histogram of raw p-value distribution generated by limma analysis.
}
\usage{
rawpCheck()
}
\details{
   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.
}
\references{ To know more see limma package help }
\author{ Raffaele A Calogero }
\note{ 
   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.
}
\keyword{ hplot }