ShapiroFranciaTest: Shapiro-Francia Test for Normality
Description
Performs the Shapiro-Francia test for the composite hypothesis of normality.
Usage
ShapiroFranciaTest(x)
Arguments
x
a numeric vector of data values, the number of
which must be between 5 and 5000. Missing values are allowed.
Value
A list of class htest, containing the following components:
Details
The test statistic of the Shapiro-Francia test is simply the
squared correlation between the ordered sample values and the (approximated)
expected ordered quantiles from the standard normal
distribution. The p-value is computed from the formula given by Royston (1993).
References
Royston, P. (1993): A pocket-calculator algorithm for the
Shapiro-Francia test for non-normality: an application to medicine.
Statistics in Medicine, 12, 181--184.
Thode Jr., H.C. (2002): Testing for Normality. Marcel Dekker, New York. (2002, Sec. 2.3.2)