Common Language Effect Size

Python

CLES_1samp


Calculate common language effect size for 1 sample. See Using_CLES.ipynb for a notebook of given examples.

Syntax


import CLES as CL

thetaHat = CL.CLES_1samp(data)

thetaHat = CL.CLES_1samp(data, Name=Value)

Description


A

thetaHat = CL.CLES_1samp(data) returns common language effect size for 1 sample comparing mean to 0. example

B

thetaHat = CL.CLES_1samp(data, Name=Value) returns common language effect size for 1 sample with additional options specified by one or more name-value pair arguments. For example, you can compare to a mean of 15. example

Examples


Example 1

Generate some data and calculate the common language effect size.

group2 = np.random.normal(5,3, (100,))
CL.CLES_1samp(group2)

thetaHat = 95.0

Example 2

Generate some data and calculate the common language effect size against a mean of 4.

group2 = np.random.normal(5,3, (100,))
CL.CLES_1samp(group2, mu=4)

thetaHat = 55.00

Input Arguments


data

Data vector.

Vector of data to find common language effect size against.

Data Types: (vector, numeric)

Name-Value Arguments

Specified optional pairs of Name=Value arguments. Name is the is the argument name and Value is the corresponding value. You can specify several name and value pair arguments in any order as Name1=Value1,...,NameN=ValueN.

Example: mu=15 specifies a comparison against a mean of 15.

mu

Mean for comparison (default=0)

Mean to compare data vector against.

Data Types: (scalar, float)

Output


thetaHat

Effect size.

Common language effect size. This value will be between 50 andn 100. This value can be interpreted as the percentage or chance a value from one group is larger than a value from the other group. A thetHat of 50 would me groups are essentially from same distribution. A thetaHat of 100 would mean that 100% of the data in one group is larger than the data in the other group.

Data Types: (scalar, float, numeric)

More About


Lecture

I refrained from outputting size of effect (e.g., ‘small’, ‘medium’, ‘large’) because these are arbitrary and should be thought of as such.

Tips


Issues and Discussion


Issues and Discussion.

If you don’t know how to use github (or don’t want to), just send me an email.