Probability of Superiority Calculation — probability

This function calculates the probability of superiority from independent samples Cohen's d calculation.

Usage

probability_superiority(
  d = NULL,
  m1 = NULL,
  m2 = NULL,
  sd1 = NULL,
  sd2 = NULL,
  n1 = NULL,
  n2 = NULL,
  a = 0.05,
  t = NULL,
  model = NULL,
  df = NULL,
  x_col = NULL,
  y_col = NULL
)

Arguments

d: the effect size
m1: mean group one
m2: mean group two
sd1: standard deviation group one
sd2: standard deviation group two
n1: sample size group one
n2: sample size group two
a: significance level
t: optional, calculate d from independent t, you must include n1 and n2 for degrees of freedom
model: optional, calculate d from t.test for independent t, you must still include n1 and n2
df: optional dataframe that includes the x_col and y_col
x_col: name of the column that contains the factor levels OR a numeric vector of group 1 scores
y_col: name of the column that contains the dependent score OR a numeric vector of group 2 scores

Value

The probability of superiority.

Details

You should provide one combination of the following:

1: d

2: m1 through n2

3: t, n1, n2

4: model, n1, n2

5: df, "x_col", "y_col"

6: x_col, y_col as numeric vectors

Examples


probability_superiority(d = .25)
#> [1] 0.5701581