This is a review of my previous work of master capstone project.
Two algorithm
Five methods of power comparison
Result
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.1600 0.4000 0.6800 0.5600 0.6200
## [2,] 0.2100 0.3800 0.4800 0.5000 0.5000
## [3,] 0.3267 0.4467 0.4867 0.4667 0.4667
## [4,] 0.3500 0.3700 0.4900 0.4150 0.4500
## [5,] 0.4000 0.4800 0.4400 0.4760 0.4440
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.240 0.5800 0.7400 0.8600 0.9800
## [2,] 0.270 0.3700 0.5800 0.7300 0.8200
## [3,] 0.280 0.4533 0.5267 0.6067 0.5533
## [4,] 0.325 0.4800 0.5300 0.5500 0.4950
## [5,] 0.364 0.4560 0.4720 0.4480 0.4760
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.08000 0.180000 0.060 0.300 0.36000
## [2,] 0.06000 -0.010000 0.100 0.230 0.32000
## [3,] -0.04667 0.006667 0.040 0.140 0.08667
## [4,] -0.02500 0.110000 0.040 0.135 0.04500
## [5,] -0.03600 -0.024000 0.032 -0.028 0.03200
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.4800 0.600 0.880 0.9200 0.860
## [2,] 0.3600 0.490 0.610 0.6200 0.660
## [3,] 0.3533 0.440 0.380 0.4733 0.440
## [4,] 0.2650 0.395 0.415 0.4300 0.510
## [5,] 0.3400 0.316 0.360 0.4000 0.336
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.2000 0.480 0.7200 0.9800 1.0000
## [2,] 0.3000 0.530 0.6600 0.7800 0.9200
## [3,] 0.1667 0.400 0.4867 0.5667 0.6867
## [4,] 0.2200 0.300 0.3950 0.4650 0.4400
## [5,] 0.2440 0.272 0.3560 0.3160 0.3680
## [,1] [,2] [,3] [,4] [,5]
## [1,] -0.2800 -0.120 -0.1600 0.06000 0.1400
## [2,] -0.0600 0.040 0.0500 0.16000 0.2600
## [3,] -0.1867 -0.040 0.1067 0.09333 0.2467
## [4,] -0.0450 -0.095 -0.0200 0.03500 -0.0700
## [5,] -0.0960 -0.044 -0.0040 -0.08400 0.0320
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.3520 0.6560 0.7640 0.7640 0.8600
## [2,] 0.3320 0.4860 0.6480 0.5980 0.6200
## [3,] 0.3427 0.4067 0.4680 0.4560 0.4907
## [4,] 0.2760 0.3920 0.4050 0.4130 0.3980
## [5,] 0.2416 0.3224 0.3136 0.3696 0.3368
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.2280 0.4200 0.6320 0.7880 0.9120
## [2,] 0.1880 0.2520 0.3560 0.4080 0.3760
## [3,] 0.1187 0.1507 0.1853 0.2107 0.1787
## [4,] 0.1170 0.1460 0.1330 0.1170 0.1110
## [5,] 0.0824 0.1032 0.0968 0.0856 0.0832
## [,1] [,2] [,3] [,4] [,5]
## [1,] -0.1240 -0.2360 -0.1320 0.0240 0.0520
## [2,] -0.1440 -0.2340 -0.2920 -0.1900 -0.2440
## [3,] -0.2240 -0.2560 -0.2827 -0.2453 -0.3120
## [4,] -0.1590 -0.2460 -0.2720 -0.2960 -0.2870
## [5,] -0.1592 -0.2192 -0.2168 -0.2840 -0.2536
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.18 0.10 0.34 0.56 0.52
## [2,] 0.08 0.32 0.32 0.52 0.28
## [3,] 0.22 0.20 0.30 0.30 0.36
## [4,] 0.10 0.18 0.36 0.32 0.04
## [5,] 0.10 0.08 0.56 0.22 0.24
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.00 0.00 0.06 0 0
## [2,] 0.00 0.00 0.00 0 0
## [3,] 0.00 0.00 0.00 0 0
## [4,] 0.00 0.02 0.00 0 0
## [5,] 0.02 0.00 0.00 0 0
## [,1] [,2] [,3] [,4] [,5]
## [1,] -0.18 -0.10 -0.28 -0.56 -0.52
## [2,] -0.08 -0.32 -0.32 -0.52 -0.28
## [3,] -0.22 -0.20 -0.30 -0.30 -0.36
## [4,] -0.10 -0.16 -0.36 -0.32 -0.04
## [5,] -0.08 -0.08 -0.56 -0.22 -0.24
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.02 0.08 0.06 0.00 0.34
## [2,] 0.06 0.14 0.16 0.04 0.10
## [3,] 0.06 0.08 0.08 0.42 0.38
## [4,] 0.22 0.04 0.22 0.58 0.68
## [5,] 0.14 0.16 0.88 0.70 0.60
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.04 0.04 0.02 0.02 0.08
## [2,] 0.02 0.10 0.16 0.12 0.06
## [3,] 0.02 0.02 0.06 0.40 0.02
## [4,] 0.14 0.18 0.24 0.06 0.22
## [5,] 0.02 0.10 0.14 0.14 0.08
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.02 -0.04 -0.04 0.02 -0.26
## [2,] -0.04 -0.04 0.00 0.08 -0.04
## [3,] -0.04 -0.06 -0.02 -0.02 -0.36
## [4,] -0.08 0.14 0.02 -0.52 -0.46
## [5,] -0.12 -0.06 -0.74 -0.56 -0.52