Solve for any missing parameter (n, delta, sd, sig.level,
or power). Mirrors R's power.t.test().
Usage
morie_power_t_test(
n = NULL,
delta = NULL,
sd = 1,
sig_level = 0.05,
power = NULL,
alternative = c("two.sided", "one.sided"),
type = c("two.sample", "one.sample", "paired")
)
Arguments
- n
Sample size per group (NULL to solve for it).
- delta
Effect size (difference in means).
- sd
Standard deviation (pooled).
- sig_level
Type I error rate (alpha).
- power
Desired power (1 - beta).
- alternative
"two.sided" or "one.sided".
- type
"two.sample", "one.sample", or "paired".
Examples
morie_power_t_test(n = NULL, delta = 0.5, power = 0.80)
#>
#> Two-sample t test power calculation
#>
#> n = 63.76576
#> delta = 0.5
#> sd = 1
#> sig.level = 0.05
#> power = 0.8
#> alternative = two.sided
#>
#> NOTE: n is number in *each* group
#>