If you are designing an experiment where you will be using
ANOVA, you can use the power.anova.test
function:
power.anova.test(groups = NULL, n = NULL, between.var = NULL, within.var = NULL, sig.level = 0.05, power = NULL
For this function, groups
specifies the number of groups, n
specifies the number of observations (per group), between.var
is the variance between groups,
within.var
is the variance within
groups, sig.level
is the significance
level (Type I error probability), and power
is the power of the test (1 − Type II
error probability). This function will calculate either groups
, n
,
sig.level
, between.var
, power
, within.var
, or sig.level
, depending on the input. You must
specify exactly six of these parameters, and the remaining argument must
be null; this is the value that the function calculates.