Linear Discriminant Analysis Calculator
Classify observations into groups using Fisher's Linear Discriminant Analysis.
Group Statistics
Group 1 (n=4)
Mean: [2.425, 3.425]
Group 2 (n=4)
Mean: [6.425, 7.425]
Discriminant Function
D(x) = NaN + NaN*x1 NaN*x2
Classify as Group 1 if D(x) > 0, otherwise Group 2
Pooled Covariance Matrix
| 0.1892 | 0.1892 |
| 0.1892 | 0.1892 |
Classification Result
Point: [4.000, 5.000]
Discriminant Score: NaN
Predicted Group: Group 2
Posterior Probability: Group 1: NaN%, Group 2: NaN%
Model Statistics
Wilks' Lambda: 0.0174(Smaller values indicate better group separation)