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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".

Value

Result of stats::power.t.test().

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
#>