Intraclass correlation

Name : Intraclass correlation

Description: Intraclass correlation (ICC) is a statistical measure of the reliability of a measurement. It is used to assess the extent to which the scores of multiple raters or measurements are consistent. ICC can be used to assess the reliability of any type of measurement, but it is most commonly used in the context of psychological and educational research. In these fields, ICC is often used to assess the reliability of ratings or scores that are made by multiple raters or on multiple occasions

Input : Dataframe - The latest version of uploaded data

Output : Dataframe - Link to the saved Dataframe which is modified as per the function and Summary of the actions performed

Mandatory and Non-mandatory/Advanced hyperparameters required for the function are listed below

Mandatory	Non-mandatory/Advanced hyperparameters
	columns
	Save As New Table

Details of Hyperparameters are provided below

Name	Description	Accepted range/ values	Display Name
columns	Numerical columns to perform intraclass correlation	Columns in the Dataframe	Columns to select
Save As New Table	Option to choose whether the dataframe is to be saved as a new table	-