law0033.Nout {PoweR} | R Documentation |
Random generation for the Normal with outliers distribution with parameter a
which belongs to {1,2,3,4,5}
.
This generator is called by function gensample
to create random variables based on its parameter.
If a
is not specified it assumes the default value of 1.
Five cases of standard normal distributions with outliers, hereon termed Nout1
to Nout5
,
consisting of observations drawn from a standard normal distribution where some of the values
are randomly replaced by extreme observations.
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
Romao, X., Delgado, R. and Costa, A. (2010), An empirical power comparison of univariate goodness-of-fit tests for normality, Journal of Statistical Computation and Simulation, 80(5), 545–591.
See law0002.Normal
for the Normal
distribution. See Distributions
for other standard distributions.
res <- gensample(33,10000,law.pars=4) res$law res$law.pars mean(res$sample) sd(res$sample)