stat0022.ShapiroFrancia: The Shapiro-Francia test for normality
In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description Author(s) References See Also

The Shapiro-Francia test 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.

P. Lafaye de Micheaux, V. A. Tran

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

Shapiro, S.S. and Francia, R. (1972), An approximation analysis of variance test for normality, Journal of the American Statistical Association, 67, 215–216.

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

PoweR documentation built on May 2, 2019, 2:09 p.m.