K-th Neighbour Discriminant Analysis in Excel with UNISTAT
The UNISTAT statistics add-in extends Excel with K-th Neighbour Discriminant Analysis capabilities.
For further information visit UNISTAT User's Guide section 8.2.2. K-th Neighbour Discriminant Analysis.
Here we provide a sample output from the UNISTAT Excel statistics add-in for data analysis.
K-th Neighbour Discriminant Analysis
Variables Selected: Var1, Var2, Var3, Var4, Var5, Var6, Var7
Classification by Case
| Actual Group | Misclassified | Estimated Group | Probability | |
|---|---|---|---|---|
| 1 | 1 | 1 | 0.5000 | |
| 2 | 1 | 1 | 1.0000 | |
| 3 | 1 | 1 | 0.5000 | |
| 4 | 1 | 1 | 1.0000 | |
| 5 | 1 | 1 | 1.0000 | |
| 6 | 1 | 1 | 1.0000 | |
| 7 | 1 | 1 | 1.0000 | |
| 8 | 1 | 1 | 1.0000 | |
| 9 | 1 | 1 | 0.5000 | |
| 10 | 1 | 1 | 1.0000 | |
| 11 | 1 | 1 | 0.5000 | |
| 12 | 1 | 1 | 0.5000 | |
| 13 | 1 | 1 | 1.0000 | |
| 14 | 1 | 1 | 1.0000 | |
| 15 | 1 | 1 | 0.5000 | |
| 16 | 1 | 1 | 1.0000 | |
| 17 | 1 | 1 | 0.5000 | |
| 18 | 2 | 2 | 1.0000 | |
| 19 | 2 | * | 1 | 0.5000 |
| 20 | 2 | 2 | 1.0000 | |
| 21 | 2 | 2 | 1.0000 | |
| 22 | 2 | * | 1 | 0.5000 |
| 23 | 2 | 2 | 1.0000 | |
| 24 | 2 | 2 | 1.0000 | |
| 25 | 2 | 2 | 1.0000 | |
| 26 | 2 | 2 | 1.0000 | |
| 27 | 2 | 2 | 1.0000 | |
| 28 | 2 | 2 | 1.0000 | |
| 29 | 2 | 2 | 0.5000 | |
| 30 | 2 | 2 | 1.0000 | |
| 31 | 2 | 2 | 1.0000 | |
| 32 | 2 | 2 | 1.0000 | |
| 33 | 2 | 2 | 1.0000 | |
| 34 | 2 | * | 1 | 0.5000 |
| 35 | 2 | 2 | 1.0000 | |
| 36 | 3 | * | 1 | 0.5000 |
| 37 | 3 | 3 | 1.0000 | |
| 38 | 3 | 3 | 0.5000 | |
| 39 | 3 | * | 1 | 0.5000 |
| 40 | 3 | 3 | 0.5000 | |
| 41 | 3 | 3 | 1.0000 | |
| 42 | 3 | 3 | 0.5000 | |
| 43 | 3 | 3 | 0.5000 | |
| 44 | 3 | 3 | 0.5000 | |
| 45 | 3 | 3 | 0.5000 | |
| 46 | 3 | 3 | 0.5000 | |
| 47 | 3 | 3 | 0.5000 | |
| 48 | 3 | 3 | 0.5000 | |
| 49 | 3 | 3 | 1.0000 | |
| 50 | 3 | 3 | 0.5000 | |
| 51 | 3 | 3 | 1.0000 | |
| 52 | 3 | 3 | 0.5000 | |
| 53 | 4 | * | 3 | 0.5000 |
| 54 | 4 | 4 | 1.0000 | |
| 55 | 4 | * | 3 | 0.5000 |
| 56 | 4 | * | 3 | 0.5000 |
| 57 | 4 | * | 3 | 0.5000 |
| 58 | 4 | 4 | 1.0000 | |
| 59 | 4 | * | 2 | 0.5000 |
| 60 | 4 | * | 1 | 0.5000 |
| 61 | 4 | * | 3 | 0.5000 |
| 62 | 4 | * | 3 | 0.5000 |
| 63 | 4 | 4 | 1.0000 | |
| 64 | 4 | * | 2 | 0.5000 |
| 65 | 4 | 4 | 1.0000 | |
| 66 | 4 | * | 3 | 0.5000 |
| 67 | 4 | * | 3 | 0.5000 |
| 68 | 4 | * | 2 | 0.5000 |
| 69 | 4 | 4 | 1.0000 | |
| 70 | 4 | 4 | 1.0000 |
Classification by Group
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| 1 | 17 | 0 | 0 | 0 |
| 100.00% | 0.00% | 0.00% | 0.00% | |
| 2 | 3 | 15 | 0 | 0 |
| 16.67% | 83.33% | 0.00% | 0.00% | |
| 3 | 2 | 0 | 15 | 0 |
| 11.76% | 0.00% | 88.24% | 0.00% | |
| 4 | 1 | 3 | 8 | 6 |
| 5.56% | 16.67% | 44.44% | 33.33% |
Correctly Classified: 75.71%