power.chisq.test {DescTools} | R Documentation |
Compute power of test or determine parameters to obtain target
power (same as power.anova.test
).
power.chisq.test(n = NULL, w = NULL, df = NULL, sig.level = 0.05, power = NULL)
n |
total number of observations. |
w |
effect size. |
df |
degree of freedom (depends on the chosen test. |
sig.level |
Significance level (Type I error probability). |
power |
Power of test (1 minus Type II error probability). |
Exactly one of the parameters w
, n
, power
or
sig.level
must be passed as NULL, and this parameter is
determined from the others. Note that the last one has non-NULL
default, so NULL
must be explicitly passed, if you want to compute
it.
Object of class "power.htest", a list of the arguments (including the computed one) augmented with 'method' and 'note' elements.
uniroot
is used to solve power equation for unknowns, so you may
see errors from it, notably about inability to bracket the root
when invalid arguments are given.
Stephane Champely <champely@univ-lyon1.fr>
but this is a mere copy of Peter Dalgaard's work on power.t.test
Cohen, J. (1988) Statistical power analysis for the behavioral sciences (2nd ed.) Hillsdale, NJ: Lawrence Erlbaum.
## Exercise 7.1 P. 249 from Cohen (1988)
power.chisq.test(w=0.289, df=(4-1), n=100, sig.level=0.05)
## Exercise 7.3 p. 251
power.chisq.test(w=0.346, df=(2-1)*(3-1), n=140, sig.level=0.01)
## Exercise 7.8 p. 270
power.chisq.test(w=0.1, df=(5-1)*(6-1), power=0.80, sig.level=0.05)