Power and sample size for the chi-square distribution
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)
n |
sample size (for power) |
nc |
non-centrality parameter |
df |
degrees of freedom |
alpha |
type-I error rate |
power |
desired power (for sample size) |
lower |
lower bound for search space for sample size |
upper |
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
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