FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationSun, 14 Dec 2008 12:19:01 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/14/t1229282372limfa5pehrwvb7t.htm/, Retrieved Tue, 14 May 2024 22:44:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33542, Retrieved Tue, 14 May 2024 22:44:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [vrm bel20] [2008-12-10 18:40:53] [74be16979710d4c4e7c6647856088456]
-    D    [Variance Reduction Matrix] [VRM paper dow jones] [2008-12-14 19:19:01] [c8dc05b1cdf5010d9a4f2d773adefb82] [Current]
-    D      [Variance Reduction Matrix] [] [2008-12-16 12:43:25] [74be16979710d4c4e7c6647856088456]
- RMPD        [(Partial) Autocorrelation Function] [] [2008-12-16 12:52:35] [74be16979710d4c4e7c6647856088456]
- RMPD        [Spectral Analysis] [] [2008-12-16 13:11:45] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9005.73
9018.68
9349.44
9327.78
9753.63
10443.5
10853.87
10704.02
11052.23
10935.47
10714.03
10394.48
10817.9
11251.2
11281.26
10539.68
10483.39
10947.43
10580.27
10582.92
10654.41
11014.51
10967.87
10433.56
10665.78
10666.71
10682.74
10777.22
10052.6
10213.97
10546.82
10767.2
10444.5
10314.68
9042.56
9220.75
9721.84
9978.53
9923.81
9892.56
10500.98
10179.35
10080.48
9492.44
8616.49
8685.4
8160.67
8048.1
8641.21
8526.63
8474.21
7916.13
7977.64
8334.59
8623.36
9098.03
9154.34
9284.73
9492.49
9682.35
9762.12
10124.63
10540.05
10601.61
10323.73
10418.4
10092.96
10364.91
10152.09
10032.8
10204.59
10001.6
10411.75
10673.38
10539.51
10723.78
10682.06
10283.19
10377.18
10486.64
10545.38
10554.27
10532.54
10324.31
10695.25
10827.81
10872.48
10971.19
11145.65
11234.68
11333.88
10997.97
11036.89
11257.35
11533.59
11963.12
12185.15
12377.62
12512.89
12631.48
12268.53
12754.8
13407.75
13480.21
13673.28
13239.71
13557.69
13901.28
13200.58
13406.97
12538.12
12419.57
12193.88
12656.63
12812.48
12056.67
11322.38
11530.75
11114.08
9181.73
8614.55

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33542&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33542&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33542&T=0

As an alternative you can also use a QR Code:  
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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Variance Reduction Matrix
V(Y[t],d=0,D=0)1729038.65585795Range5985.15Trim Var.1008337.98235840
V(Y[t],d=1,D=0)160626.471349552Range2622.22Trim Var.83639.5946165023
V(Y[t],d=2,D=0)272240.827215041Range2965.99Trim Var.162491.624099118
V(Y[t],d=3,D=0)760802.30387562Range4863.18Trim Var.445272.797770396
V(Y[t],d=0,D=1)1878431.67884912Range7405.03Trim Var.1047122.24389128
V(Y[t],d=1,D=1)275602.527133403Range3608.98Trim Var.147006.840862094
V(Y[t],d=2,D=1)484584.983075983Range4225.5Trim Var.241860.301645733
V(Y[t],d=3,D=1)1303662.35615307Range7225.56Trim Var.684809.839926059
V(Y[t],d=0,D=2)4057823.70531364Range11527.14Trim Var.2015678.81981783
V(Y[t],d=1,D=2)716456.72372148Range4191.37Trim Var.453081.81519498
V(Y[t],d=2,D=2)1246124.54461429Range6222.38Trim Var.642020.311326694
V(Y[t],d=3,D=2)3265035.09026140Range9804.71999999999Trim Var.1680382.79623722

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1729038.65585795 & Range & 5985.15 & Trim Var. & 1008337.98235840 \tabularnewline
V(Y[t],d=1,D=0) & 160626.471349552 & Range & 2622.22 & Trim Var. & 83639.5946165023 \tabularnewline
V(Y[t],d=2,D=0) & 272240.827215041 & Range & 2965.99 & Trim Var. & 162491.624099118 \tabularnewline
V(Y[t],d=3,D=0) & 760802.30387562 & Range & 4863.18 & Trim Var. & 445272.797770396 \tabularnewline
V(Y[t],d=0,D=1) & 1878431.67884912 & Range & 7405.03 & Trim Var. & 1047122.24389128 \tabularnewline
V(Y[t],d=1,D=1) & 275602.527133403 & Range & 3608.98 & Trim Var. & 147006.840862094 \tabularnewline
V(Y[t],d=2,D=1) & 484584.983075983 & Range & 4225.5 & Trim Var. & 241860.301645733 \tabularnewline
V(Y[t],d=3,D=1) & 1303662.35615307 & Range & 7225.56 & Trim Var. & 684809.839926059 \tabularnewline
V(Y[t],d=0,D=2) & 4057823.70531364 & Range & 11527.14 & Trim Var. & 2015678.81981783 \tabularnewline
V(Y[t],d=1,D=2) & 716456.72372148 & Range & 4191.37 & Trim Var. & 453081.81519498 \tabularnewline
V(Y[t],d=2,D=2) & 1246124.54461429 & Range & 6222.38 & Trim Var. & 642020.311326694 \tabularnewline
V(Y[t],d=3,D=2) & 3265035.09026140 & Range & 9804.71999999999 & Trim Var. & 1680382.79623722 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33542&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1729038.65585795[/C][C]Range[/C][C]5985.15[/C][C]Trim Var.[/C][C]1008337.98235840[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]160626.471349552[/C][C]Range[/C][C]2622.22[/C][C]Trim Var.[/C][C]83639.5946165023[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]272240.827215041[/C][C]Range[/C][C]2965.99[/C][C]Trim Var.[/C][C]162491.624099118[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]760802.30387562[/C][C]Range[/C][C]4863.18[/C][C]Trim Var.[/C][C]445272.797770396[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1878431.67884912[/C][C]Range[/C][C]7405.03[/C][C]Trim Var.[/C][C]1047122.24389128[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]275602.527133403[/C][C]Range[/C][C]3608.98[/C][C]Trim Var.[/C][C]147006.840862094[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]484584.983075983[/C][C]Range[/C][C]4225.5[/C][C]Trim Var.[/C][C]241860.301645733[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1303662.35615307[/C][C]Range[/C][C]7225.56[/C][C]Trim Var.[/C][C]684809.839926059[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]4057823.70531364[/C][C]Range[/C][C]11527.14[/C][C]Trim Var.[/C][C]2015678.81981783[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]716456.72372148[/C][C]Range[/C][C]4191.37[/C][C]Trim Var.[/C][C]453081.81519498[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]1246124.54461429[/C][C]Range[/C][C]6222.38[/C][C]Trim Var.[/C][C]642020.311326694[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]3265035.09026140[/C][C]Range[/C][C]9804.71999999999[/C][C]Trim Var.[/C][C]1680382.79623722[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33542&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33542&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Variance Reduction Matrix
V(Y[t],d=0,D=0)1729038.65585795Range5985.15Trim Var.1008337.98235840
V(Y[t],d=1,D=0)160626.471349552Range2622.22Trim Var.83639.5946165023
V(Y[t],d=2,D=0)272240.827215041Range2965.99Trim Var.162491.624099118
V(Y[t],d=3,D=0)760802.30387562Range4863.18Trim Var.445272.797770396
V(Y[t],d=0,D=1)1878431.67884912Range7405.03Trim Var.1047122.24389128
V(Y[t],d=1,D=1)275602.527133403Range3608.98Trim Var.147006.840862094
V(Y[t],d=2,D=1)484584.983075983Range4225.5Trim Var.241860.301645733
V(Y[t],d=3,D=1)1303662.35615307Range7225.56Trim Var.684809.839926059
V(Y[t],d=0,D=2)4057823.70531364Range11527.14Trim Var.2015678.81981783
V(Y[t],d=1,D=2)716456.72372148Range4191.37Trim Var.453081.81519498
V(Y[t],d=2,D=2)1246124.54461429Range6222.38Trim Var.642020.311326694
V(Y[t],d=3,D=2)3265035.09026140Range9804.71999999999Trim Var.1680382.79623722


Figures (Output of Computation)

Input Parameters & R Code

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(x,lag=1,differences=smalld)
if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd)
a<-table.element(a,var(myx))
a<-table.element(a,'Range',header=TRUE)
a<-table.element(a,max(myx)-min(myx))
a<-table.element(a,'Trim Var.',header=TRUE)
smyx <- sort(myx)
sn <- length(smyx)
a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyxa<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')