Implements a chi-squared distribution. The classes Pearson2xk
and ZSquared are subclasses, used in two different situations.
Pearson2xK is used when testing k groups for homogeneity in
response rates. The null hypothesis is
r1=...=rk, and the
alternative is that there exists a pair of groups with differing rates.
ZSquared implements the square of a normally distributed random variable
with mean \(\mu\) and standard deviation \(\sigma^2\).
Usage
ChiSquared(df)
# S4 method for ChiSquared
quantile(x, probs, n, theta, ...)
# S4 method for ChiSquared,numeric
simulate(object, nsim, n, theta, seed = NULL, ...)
Arguments
df
number of degrees of freedom
x
outcome
probs
vector of probabilities
n
sample size
theta
distribution parameter
...
further optional arguments
object
object of class ChiSquared
nsim
number of simulation runs
seed
random seed
See Also
see probability_density_function and
cumulative_distribution_function to evaluate the pdf
and the cdf, respectively.