function to measure the correlation between nominal and continuous data
25 views (last 30 days)
Show older comments
I am looking for a function that measures the correlation (Cramer's V, or something similar) of categorical + continuous data sets. I can't seem to find one. Can someone point me to the right direction.
0 Comments
Answers (1)
BhaTTa
on 17 Jul 2024
In MATLAB, you can use different statistical methods to measure the correlation between categorical and continuous data sets. While MATLAB does not have a built-in function for Cramér's V, you can use ANOVA (Analysis of Variance) to assess the relationship between a categorical variable and a continuous variable. You can also use point-biserial correlation if your categorical variable is binary.
Example: Using ANOVA in MATLAB
ANOVA can help determine if there are statistically significant differences between the means of different categories of a categorical variable.
% Example data
continuous = [1.2, 2.3, 3.1, 4.5, 5.0, 6.7, 7.8, 8.2, 9.1, 10.5];
categorical = [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]; % Binary categorical variable
% Perform ANOVA
[p, tbl, stats] = anova1(continuous, categorical);
% Display the results
disp('ANOVA Table:');
disp(tbl);
% Display the p-value
disp(['p-value: ', num2str(p)]);
0 Comments
See Also
Categories
Find more on ANOVA in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!