6.2 C
London
Thursday, December 19, 2024
HomeRHypothesis Tests in R

Hypothesis Tests in R

How to Perform a Granger-Causality Test in R

The Granger Causality test is used to determine whether or not one time series is useful for forecasting another. This test uses the following null...

How to Perform a Chow Test in R

A Chow test is used to test whether the coefficients in two different regression models on different datasets are equal. This test is typically used in the...

How to Calculate the Coefficient of Variation in R

A coefficient of variation, often abbreviated as CV, is a way to measure how spread out values are in a dataset relative to the...

How to Calculate a Phi Coefficient in R

A Phi Coefficient (sometimes called a mean square contingency coefficient) is a measure of the association between two binary variables. For a given 2×2 table for...

How to Calculate Cramer’s V in R

Cramer’s V is a measure of the strength of association between two nominal variables. It ranges from 0 to 1 where: 0 indicates no association between...

How to Perform a Likelihood Ratio Test in R

A likelihood ratio test compares the goodness of fit of two nested regression models. A nested model is simply one that contains a subset of...

How to Perform a Chi-Square Goodness of Fit Test in R

A Chi-Square Goodness of Fit Test is used to determine whether or not a categorical variable follows a hypothesized distribution. This tutorial explains how to perform a Chi-Square...

Subscribe

- Never miss a story with notifications

- Gain full access to our premium content

- Browse free from up to 5 devices at once

Must read