Partial Eta Squared

Problem

Return partial eta squared (SS_effect/df_effect) / ((SS_effect/df_effect) + (SS_error/df_error)). Return 0.0 when a degrees-of-freedom value is not positive or the denominator is zero.

Hint

It measures the effect relative to its own error term.

Test cases

case 1

in: [54,6,2,6]

expected: 0.9642857142857143

case 2

in: [10,20,1,8]

expected: 0.8

case 3

in: [0,5,1,4]

expected: 0

case 4

in: [24,0,1,4]

expected: 1

case 5

in: [5,5,2,0]

expected: 0

Starter codePython

def partial_eta_squared(ss_effect, ss_error, df_effect, df_error):
    # Your code here
    pass

5 test cases · run your code against them in the editor