The Yate's algorithm is illustrated below for a 23 factorial experiment. Let us denote the three factors by A, B & C.
| Table | ||||||
|---|---|---|---|---|---|---|
| Average Results | Column 1 | Column 2 | Column 3 | Divisor | Estimates | Variable |
| 60 | 132 | 254 | 514 | 8 | 64.25 | 1 (Average) |
| 72 | 122 | 260 | 92 | 4 | 23.0 | A |
| 54 | 135 | 26 | -20 | 4 | -5.0 | B |
| 68 | 125 | 66 | 6 | 4 | 1.5 | AB |
| 52 | 12 | -10 | 6 | 4 | 1.5 | C |
| 83 | 14 | -10 | 40 | 4 | 10.0 | AC |
| 45 | 31 | 2 | 0 | 4 | 0.0 | BC |
| 80 | 35 | 4 | 2 | 4 | 0.5 | ABC |
Check: Twice the sum of every second entry in column i is equal to the sum of the entries in column i +1. For example, the sum of every second entry in column 1 is 122 + 155 + 14 + 35 = 296, which when doubled, gives 592. This is equal to the sum of the entries in column 2.
Reference:
Box, George E. P., Hunter, William, G., and Hunter, Stuart J., "Statistics for Experimenters - An Introduction to Design, Data Analysis, and Model Building", John Wiley & Sons, New York, 1978.