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.