stat0006.DAgostinoPearson {PoweR}R Documentation

The D'Agostino-Pearson test for normality

Description

The D'Agostino-Pearson for normality is used

- to compute its statistic and p-value by calling function statcompute;

- to compute its quantiles by calling function compquant or many.crit;

- to compute its power by calling function powcomp.fast or powcomp.easy.

Author(s)

P. Lafaye de Micheaux, V. A. Tran

References

Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03

D'Agostino, R.B. and Pearson, E.S (1973), Tests for Departure from Normality. Empirical Results for the Distributions of b2 and \sqrt b1, Biometrika, 60(3), 613–622.

See Also

See Normality.tests for other goodness-of-fit tests for normality.


[Package PoweR version 1.1.4 Index]