chi2_likelihood(M)
Computes the Likelihood Ratio test using the data in matrix M. Matrix M must be a contingency table.
See also chi2_goodness chi2_kappa chi2_mcnemar chi2_risk
Example
The contingency table below shows some facts about drinking, and heart attacks:
|
|||
Entering the basic data in a matrix we obtain:
M = ( 4, 1; 2, 5)
/ 4 1 \
\ 2 5 /
We now use function chi2_totable to transform the matrix into a proper contingency table
M=chi2_totable(M)
/ "" "" "" "" \
| "" 4 1 5 |
| "" 2 5 7 |
\ "" 6 6 12 /
Using the function chi2_likelihood we obtain,
chi2_likelihood(M)
Likelihood Ratio Test.
Results:
Test statistics Xlr : 3.2557338578632082
P value: 0.07117407117035468