casper (version 2.6.0)

asymmetryCheck: Plot asymmetry coefficients for the observed data and compare to those expected under Normality.

Description

Produces a boxplot for the asymmetry coefficients for each row in the input matrix. Normal observations are simulated using the observed sample means and variances, and their asymmetry coefficients are added to the plot.

Usage

asymmetryCheck(x, ...)

Arguments

x

ExpressionSet, matrix or data.frame with genes/isoforms in rows

...

Other arguments to be passed on to codeplot

Value

Boxplot with asymmetry coefficients for observed and simulated Normal data

Examples

mu <- rnorm(100)
x <- matrix(rnorm(100*5,mu),ncol=5)

asymmetryCheck(x)