Powerful classification tool combining Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) for predicting group membership and understanding what distinguishes between groups.
A comprehensive discriminant analysis calculator that helps you classify observations into predefined groups and understand which variables best separate those groups. Perfect for medical diagnosis, species identification, credit risk assessment, and any scenario where you need to predict categorical outcomes.
Creates linear decision boundaries assuming equal covariance across groups. More stable with smaller samples and ideal when groups have similar variance structures.
Creates curved decision boundaries allowing different covariances per group. More flexible and better when groups have different variance patterns.
Discriminant analysis is widely used across multiple fields for classification and prediction:
Include one categorical variable (groups) and multiple numeric predictor variables. Try the Iris dataset sample to see it in action.
Choose which variable defines your groups (e.g., species, diagnosis) and which variables to use as predictors (e.g., measurements, test scores).
Choose to run LDA only, QDA only, or both. Set test size, prior probabilities, and enable cross-validation for robust results.
Review accuracy metrics, confusion matrices, discriminant coefficients, and visualizations. Export APA-formatted reports for your research.
lda(), qda())Classify your data with our powerful discriminant analysis calculator. Load the Iris dataset example to see it in action.
Questions or feedback? Contact us