Power and sample size for the chi-square distribution given non-centrality, degrees of freedom, alpha, N (for chisq.power), and power (for chisq.sample.size)
chisq.power(n, nc, df, alpha)
chisq.power.dif(n, nc, df, alpha, power)
chisq.sample.size(nc, df=df, alpha, power, lower=20, upper=100000)
sample size (for power)
non-centrality parameter
degrees of freedom
type-I error rate
desired power (for sample size)
lower bound for search space for sample size
upper bound for search space for sample size
power, the difference in power from target power, and sample size, respectively for the three different functions