stat0083.ttests {PoweR} | R Documentation |
Robustness of Student's t test for non-normality (one sample)
Description
Robustness of Student's t test for non-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
An Investigation of the Large-Sample/Small-Sample Approach to the One-Sample Test for a Mean (Sigma Unknown)
See Also
See Normality.tests
for other goodness-of-fit tests for normality.
[Package PoweR version 1.1.4 Index]