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Author*The author of this computation has been verified*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationThu, 18 Dec 2014 20:22:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/18/t1418934222svs5rvb2f35k4o9.htm/, Retrieved Sat, 18 May 2024 13:41:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271272, Retrieved Sat, 18 May 2024 13:41:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [Variantie reducti...] [2014-12-18 20:22:34] [0adf43ccf8dfa476608a94fd7836e72e] [Current]
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Dataseries X:
2284.86
2329.22
2324.32
2331.88
2323.48
2349.66
2338.19
2329.51
2356.45
2359.05
2376.87
2371.3
2380.9
2398.76
2390.53
2384.47
2423.07
2443.72
2432.93
2446.05
2435.79
2470.14
2459.26
2452.06
2419.01
2428.28
2446.16
2430.2
2411.93
2428.05
2433.91
2427.07
2423.01
2429.02
2398.58
2382.61
2391.12
2412
2451.78
2442.34
2444.92
2472.5
2473.55
2501.22
2487.99
2479.03
2466.04
2480.94
2469.12
2407.79
2435.97
2426.38
2426.49
2458.23
2463.16
2493.26
2485.9
2504.12
2504.02
2510.32
2499.32
2525.42
2508.44
2485.87
2489.09
2501.22
2494.4
2495.18
2503.26
2530.02
2509.71
2511.78
2545.94
2538.38
2524.18
2535.52
2536.52
2545.91
2550.18
2538.26
2532.41
2537.17
2506.46
2505.25
2502.31
2457.49
2468.91
2479.53
2472.64
2469.38
2468.78
2496.17
2519.73
2528.75
2537.33
2550
2570.78
2556.87
2560.46
2542.24
2558.3
2551.45
2527.31
2542.8
2532.83
2546.25
2552.53
2557.43
2558.81
2546.35
2568.88
2567.47
2548.83
2546.12
2549.29
2554.29
2539.67
2540.11
2566.43
2572.96
2573.69
2551.62
2561.39
2564
2572.25
2568.95
2577.39
2583.49
2551.04
2562.18
2567.43
2575.54
2544.26
2550.53
2469.79
2497.19
2506.22
2520.19
2482.4
2475.07
2447.8
2465
2470.34
2477.81
2457.48
2473.35
2494.46
2508.65
2520.93
2522.47
2531.89
2538.15
2525.64
2528.18
2539.41
2538.68
2546.33
2548.36
2562.76
2560.26
2543.74
2557.26
2555.16
2552.36
2558.84
2563.16
2560.06
2543.83
2532.88
2510.77
2532.39
2529.54
2517
2548.73
2570.95
2566.8
2570.32
2595.96
2629.87
2628.08
2625.7
2624.44
2646.1
2628.6
2638.45
2658.97
2666.55
2659.04
2651.85
2655.73
2676.5
2683.28
2702.64
2691.17
2702.99
2680.75
2686.03
2693.88
2728.45
2714.9
2716.26
2734.82
2729.03
2718.98
2699.53
2678.43
2674.22
2703.83
2673.62
2678.73
2659.25
2683.25
2671.86
2691.29
2729.19
2713.22
2739.83
2728.32
2734.3
2773.43
2777.01
2795.8
2763.84
2764.09
2774.5
2772.34
2763.69
2799.19
2810.64
2797.03
2817.49
2845.52
2858.6
2886.98
2866.06
2909.91
2791.96
2857.24
2891
2841.05
2847.08
2799.71
2855.79
2815.13
2820.75
2807.75
2854.45
2845.57
2852.88
2888.69
2848.77
2859.28
2881.32
2886.13
2906.34
2892.63
2933.39
2954.95
2948.88
2988.45
2993.31
3001.37
3030.68
2976.71
3028.67
3033.45
2998.24
2994.53
2989.33
2999.2
3017.32
3035.15
3062.29
3067.06
3098
3104.14
3138.01
3184.36
3187.58
3216.14
3229.48
3248.18
3232.57
3276.16
3233.75
3196.03
3184.09
3184.21
3233.21
3237.87
3276.72
3259.64
3263.86
3320.66
3364.99
3417.6
3376.2
3436.06
3460.58
3415.4
3349.81
3359.29
3350.99
3291.19
3315.93
3264.67
3298.24
3321.84
3349.14
3418.12
3429.04
3295.93
3301.91
3215.24
3244.93
3312.88
3329.76
3359.46
3351.49
3340.05
3279.9
3327.68
3353.45
3383.25
3344.39
3347.58
3340.33
3395.95
3397.36
3374.1
3363.06
3383.19
3438.07
3460.37
3528.78
3568.28
3551.98
3562.41
3575.37
3595.14
3573.69
3562.11
3604.54
3543.43
3596.08
3579.42
3602.18
3657.86
3664.94
3636.41
3547.84
3605.62
3625.74
3661.84
3673.03
3695.29
3667.43
3665.01
3677.43
3707.99
3744.44
3765.11
3741.48
3730.27
3749.27
3788.27
3754.72
3755.82
3798.5
3805.29
3795.41
3785.77
3819.85
3854.76
3887.39
3942.53
3972.84
4006.4
4055.86
3992.38
4040.97
4124.19
4121.13
4201.24
4227.31
4196.53
4090.06
4230.42
4406.09
4335.74
4317.64
4371.16
4381.69
4421.72
4438.93
4408.79
4296.94
4302.68
4335.39
4414.35
4354.15
4333.13
4363.09
4278.48
4231.43
4152.86
4078.6
4169.62
4223.43
4253.67
4086.01
4071.79
3959.33
3995.66
3973.65
3906.02
3989.96
4047.37
4103.65
4071.68
4100.67
4068.01
4094.39
4050.14
3972.55
3854.81
3820.13
3898.95
4010.48
4000.48
4032.97
4088.92
4098.2
4102.39
4148.58
4080.78
4104.27
4167.85
4196.97
4273.71
4273.71
4302.13
4307.39
4347.24
4243.01
4188.52
4231.4
4202.37
4193.69
4118.22
4061.5
4040.75
4139.5
4171.45
3977.26
4050.87
3879.12
3567.22
3791.81
3727.4
3726.69
3854.07
3812.45
3866.68
3823.91
3699.89
3752.53
3731.08
3659.27
3704.29
3730.94
3794.61
3833.47
3834.82
3915.94
3959.69
3830.63
3849.23
3916.53
3953.84
3949.14
4068.05
4072.96
4082.89
4139.8
4170.08
4223.36
4184.91
4117.27
4030.16
4082.6
4060.04
4083.97
4158.68
4166.24
4084.75
4043.02
4121.79
4197.37
4249.69
4315.37
4384.81
4352.63
4391.54
4347.23
4236.94
4087.28
4159.4
4190.08
4148.34
4184.46
4284.94
4307.91
4282.84
4220.25
4237.31
4224.78
4278.76
4391.02
4419.38
4440.38
4522.81
4532.52
4486.95
4548.46
4496.33
4563.55
4523.75
4588.43
4536.83
4502.48
4520.64
4602.4
4628.83
4582.4
4602.65
4657.54
4599.54
4635.82
4692.03
4709.83
4736.74
4757.14
4709.58
4623.4
4715.95
4780.83
4834.43
4832.76
4839.6
4889.65
4883.85
4946.68
4919.72
4936.32
5001.55
4971.32
5028.24
5096.62
5039.76
5083.16
5009.76
5102.35
5154.21
5176.66
5223.52
5271.65
5357.05
5269.46
5317.22
5374.78
5388.47
5324.14
5268.75
5442
5388.93
5360.65
5251.46
5144.28
5088.13
5018.67
5108.48
5107.44
5314.66
5232.03
5229.8
5186.22
5257.58
5341.69
5297.35
5376.88
5361.22
5393.14
5342.85
5388.89
5510.97
5564.21
5575.16
5644.29
5490.64
5481.26
5569.08
5582.78
5613.76
5592.48
5688.5
5779.09
5760.02
5754.46
5670.83
5527.32
5591.57
5709.36
5718.06
5702.61
5654.74
5718.71
5779.91
5866.63
5870.42
5915.13
5897.44
5906.85
5904.1
5953.16
5918.37
5960.98
6013.14
5996.77
5982.42
6019.48
6095.28
6108.24
6094.02
6147.86
6171.43
6165.52
6110.73
6058.45
6035.28
5885
5889.01
5853.63
5880.87
5873.92
5758.77
5756.19
5632.51
5517.64
5560.55
5476.25
5268.4
5402.37
5356.22
5447.9
5456.58
5568.88
5596.4
5488.22
5163.51
5234.88
5371.76
5231.61
5060.84
4993.54
4833.89
4791.81
4970.5
4812.18
4820.25
4923.37
5103.84
5040.87
4747.33
4737.15
4896.49
4831.22
4857.97
4669.51
4598.58
4433.87
4575.15
4699.39
4646.25
4561.58
4653.93
4578.27
4474.51
4226.49
3962.5
4034.23
4156.64
4087.83
3896.08
3983.65
4225.49
4274.48
4318.52
4399.05
4489.1
4458.4
4595.82
4523.24
4454.28
4451.09
4577.74
4682.45
4536.34
4549.33
4671.12
4761.15
4705.08
4841.72
4811.6
4836.22
4768.58
4662.78
4717.7
4639.89
4639.65
4783.77
4702.63
4698.72
4795.69
4911.88
5019.12
4958.82
4944.37
5051.63
5121.48
5022.7
4781.72
4691.69
4787.08
4775.23
4713.96
4699.34
4663.68
4642.68
4536.2
4522.86
4574.5
4663.45
4723.81
4629.23
4780.93
4825.38
4951.77
4951.77
4951.77
5044.77
5031.87
5252.36
5253.91
5443.62
5323.21
5392.84
5270.6
5200.1
4931.8
4912.75
4960.22
5050.4
5073.15
5143.06
5156.67
5019.28
4982.45
4986.8
5061.18
5096.41
5190.82
5166.87
5085.66
5077.85
5080.77
5027.22
4904.35
4796.82
4839.33
4888.74
4879.55
4904.68
4810.09
4845.08
4802.38
4845.18
4987.56
5062.31
4958.58
4911.81
4784.31
4804.02
4697.67
4678.72
4839.09
4788.68
4758.46
4721.41
4754.41
5008.16
5029.24
5094.63
5077.43
5013.62
5099.48
5027.06
4915.02
4780.13
4860.26
4775.17
4876.92
4856.84
4884.2
4914.59
4965.29
5052.27
5068.75
5124.18
5159.16
5199.18
5182.16
5181.01
5155.35
5220.14
5087.29
5163.29
5218.82
5195.42
5256.22
5347.5
5348.61
5334.42
5393.1
5377.56
5383.21
5307.22
5274.45
5297.38
5205.95
5249.15
5248.02
5173.25
5114.47
5154.94
5181.51
5235.64
5264.68
5143.1
5160.44
5083.83
5068.73
5069.83
5021.24
4997.83
5107.81
5190.14
5211.08
5253.89
5206.47
5262.14
5268.87
5342.86
5381.25
5412
5430.32
5430.32
5430.32




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271272&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271272&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271272&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Variance Reduction Matrix
V(Y[t],d=0,D=0)1216880Range3886.57Trim Var.1007110
V(Y[t],d=1,D=0)4219.86Range578.46Trim Var.1782.26
V(Y[t],d=2,D=0)8098.74Range873.5Trim Var.3496.39
V(Y[t],d=3,D=0)23309.3Range1502.13Trim Var.10274.4
V(Y[t],d=0,D=1)46727.8Range1675.64Trim Var.22508.3
V(Y[t],d=1,D=1)9521.28Range935.6Trim Var.4088.05
V(Y[t],d=2,D=1)18838.8Range1199.91Trim Var.8489.54
V(Y[t],d=3,D=1)53805.9Range1814.28Trim Var.25224.8
V(Y[t],d=0,D=2)90300.8Range2733.3Trim Var.38302.1
V(Y[t],d=1,D=2)30311.3Range1555.1Trim Var.12385.6
V(Y[t],d=2,D=2)60362.3Range1980.36Trim Var.27382
V(Y[t],d=3,D=2)170684Range3252.52Trim Var.79681.5

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1216880 & Range & 3886.57 & Trim Var. & 1007110 \tabularnewline
V(Y[t],d=1,D=0) & 4219.86 & Range & 578.46 & Trim Var. & 1782.26 \tabularnewline
V(Y[t],d=2,D=0) & 8098.74 & Range & 873.5 & Trim Var. & 3496.39 \tabularnewline
V(Y[t],d=3,D=0) & 23309.3 & Range & 1502.13 & Trim Var. & 10274.4 \tabularnewline
V(Y[t],d=0,D=1) & 46727.8 & Range & 1675.64 & Trim Var. & 22508.3 \tabularnewline
V(Y[t],d=1,D=1) & 9521.28 & Range & 935.6 & Trim Var. & 4088.05 \tabularnewline
V(Y[t],d=2,D=1) & 18838.8 & Range & 1199.91 & Trim Var. & 8489.54 \tabularnewline
V(Y[t],d=3,D=1) & 53805.9 & Range & 1814.28 & Trim Var. & 25224.8 \tabularnewline
V(Y[t],d=0,D=2) & 90300.8 & Range & 2733.3 & Trim Var. & 38302.1 \tabularnewline
V(Y[t],d=1,D=2) & 30311.3 & Range & 1555.1 & Trim Var. & 12385.6 \tabularnewline
V(Y[t],d=2,D=2) & 60362.3 & Range & 1980.36 & Trim Var. & 27382 \tabularnewline
V(Y[t],d=3,D=2) & 170684 & Range & 3252.52 & Trim Var. & 79681.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271272&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1216880[/C][C]Range[/C][C]3886.57[/C][C]Trim Var.[/C][C]1007110[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]4219.86[/C][C]Range[/C][C]578.46[/C][C]Trim Var.[/C][C]1782.26[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]8098.74[/C][C]Range[/C][C]873.5[/C][C]Trim Var.[/C][C]3496.39[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]23309.3[/C][C]Range[/C][C]1502.13[/C][C]Trim Var.[/C][C]10274.4[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]46727.8[/C][C]Range[/C][C]1675.64[/C][C]Trim Var.[/C][C]22508.3[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]9521.28[/C][C]Range[/C][C]935.6[/C][C]Trim Var.[/C][C]4088.05[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]18838.8[/C][C]Range[/C][C]1199.91[/C][C]Trim Var.[/C][C]8489.54[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]53805.9[/C][C]Range[/C][C]1814.28[/C][C]Trim Var.[/C][C]25224.8[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]90300.8[/C][C]Range[/C][C]2733.3[/C][C]Trim Var.[/C][C]38302.1[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]30311.3[/C][C]Range[/C][C]1555.1[/C][C]Trim Var.[/C][C]12385.6[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]60362.3[/C][C]Range[/C][C]1980.36[/C][C]Trim Var.[/C][C]27382[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]170684[/C][C]Range[/C][C]3252.52[/C][C]Trim Var.[/C][C]79681.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271272&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271272&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Variance Reduction Matrix
V(Y[t],d=0,D=0)1216880Range3886.57Trim Var.1007110
V(Y[t],d=1,D=0)4219.86Range578.46Trim Var.1782.26
V(Y[t],d=2,D=0)8098.74Range873.5Trim Var.3496.39
V(Y[t],d=3,D=0)23309.3Range1502.13Trim Var.10274.4
V(Y[t],d=0,D=1)46727.8Range1675.64Trim Var.22508.3
V(Y[t],d=1,D=1)9521.28Range935.6Trim Var.4088.05
V(Y[t],d=2,D=1)18838.8Range1199.91Trim Var.8489.54
V(Y[t],d=3,D=1)53805.9Range1814.28Trim Var.25224.8
V(Y[t],d=0,D=2)90300.8Range2733.3Trim Var.38302.1
V(Y[t],d=1,D=2)30311.3Range1555.1Trim Var.12385.6
V(Y[t],d=2,D=2)60362.3Range1980.36Trim Var.27382
V(Y[t],d=3,D=2)170684Range3252.52Trim Var.79681.5



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
n <- length(x)
sx <- sort(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Variance Reduction Matrix',6,TRUE)
a<-table.row.end(a)
for (bigd in 0:2) {
for (smalld in 0:3) {
mylabel <- 'V(Y[t],d='
mylabel <- paste(mylabel,as.character(smalld),sep='')
mylabel <- paste(mylabel,',D=',sep='')
mylabel <- paste(mylabel,as.character(bigd),sep='')
mylabel <- paste(mylabel,')',sep='')
a<-table.row.start(a)
a<-table.element(a,mylabel,header=TRUE)
myx <- x
if (smalld > 0) myx <- diff(myx,lag=1,differences=smalld)
if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd)
a<-table.element(a,signif(var(myx), digits=6))
a<-table.element(a,'Range',header=TRUE)
a<-table.element(a,signif(max(myx)-min(myx), digits=6))
a<-table.element(a,'Trim Var.',header=TRUE)
smyx <- sort(myx)
sn <- length(smyx)
a<-table.element(a,signif(var(smyx[smyx>quantile(smyx,0.05) & smyxa<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')
bitmap(file='pic0.png')
op <- par(mfrow=c(2,2))
plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0')
plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0')
plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1')
plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1')
par(op)
dev.off()