Hypothesis 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...
Hypothesis Tests in R
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...
Hypothesis Tests in R
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...
Hypothesis Tests in R
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...
Hypothesis Tests in R
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...
Hypothesis Tests in R
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...
Hypothesis Tests in R
Kolmogorov-Smirnov Test in R (With Examples)
The Kolmogorov-Smirnov test is used to test whether or not or not a sample comes from a certain distribution.
To perform a one-sample or two-sample...
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