pearson.test(x, n.classes = ceiling(2 * (n^(2/5))), adjust = TRUE)
TRUE(default), the p-value is computed from a chi-square distribution with
n.classes-3 degrees of freedom, otherwise from a chi-square distribution with
n.classes-1 degrees of freedom.
n.classes-3 degrees of freedom if
TRUEand from a chi-square distribution with
n.classes-1 degrees of freedom otherwise. In both cases this is not (!) the correct p-value, lying somewhere between the two, see also Moore (1986).
Thode Jr., H.C. (2002): Testing for Normality. Marcel Dekker, New York.
shapiro.testfor performing the Shapiro-Wilk test for normality.
sf.testfor performing further tests for normality.
qqnormfor producing a normal quantile-quantile plot.