law0002.Normal {PoweR} | R Documentation |
Random generation for the Normal distribution with parameters mu
and sigma
.
This generator is called by function gensample
to create random variables based on its parameters.
If mu
or sigma
are not specified they assume the default values of 0 and 1, respectively.
The Normal distribution has density:
f(x) = 1/(√(2π*σ)) e^-((x - μ)^2/(2*σ^2))
where μ is the mean of the distribution and σ is the standard deviation.
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 Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03
See function link{rnorm}
from stats package. See Distributions
for other standard distributions.
res <- gensample(2,10000,law.pars=c(9,2)) res$law res$law.pars mean(res$sample) sd(res$sample)