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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationMon, 22 Dec 2008 00:33:31 -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/22/t1229931261ktn9tv56v1xxpme.htm/, Retrieved Mon, 13 May 2024 15:31:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35937, Retrieved Mon, 13 May 2024 15:31:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [VRM Olie] [2008-12-19 13:50:37] [7458e879e85b911182071700fff19fbd]
-    D  [Variance Reduction Matrix] [VRM BEL20] [2008-12-20 22:14:54] [7458e879e85b911182071700fff19fbd]
- R         [Variance Reduction Matrix] [] [2008-12-22 07:33:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
2196.72
2350.44
2440.25
2408.64
2472.81
2407.6
2454.62
2448.05
2497.84
2645.64
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34
2197.82
2014.45




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35937&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35937&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35937&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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Variance Reduction Matrix
V(Y[t],d=0,D=0)540732.286750819Range2682.51Trim Var.424099.539489623
V(Y[t],d=1,D=0)31422.1085305669Range998.81Trim Var.14519.3313959361
V(Y[t],d=2,D=0)44577.6447770418Range1260.98Trim Var.19336.8823895551
V(Y[t],d=3,D=0)119845.498404135Range1886.22Trim Var.56531.3586033727
V(Y[t],d=0,D=1)707687.80582695Range3288.69Trim Var.413491.452797735
V(Y[t],d=1,D=1)47152.0163613321Range1278.01Trim Var.18607.9855404878
V(Y[t],d=2,D=1)93095.020674058Range1774.54Trim Var.31857.3798102564
V(Y[t],d=3,D=1)229353.867365859Range3115.91Trim Var.72378.2840821862
V(Y[t],d=0,D=2)780784.525397063Range3112.59Trim Var.580910.483462903
V(Y[t],d=1,D=2)111510.617770252Range1769.31Trim Var.52781.036331613
V(Y[t],d=2,D=2)225240.110387522Range2472.07000000000Trim Var.88227.0361029886
V(Y[t],d=3,D=2)520533.799743371Range4299.74Trim Var.186845.656271429

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 540732.286750819 & Range & 2682.51 & Trim Var. & 424099.539489623 \tabularnewline
V(Y[t],d=1,D=0) & 31422.1085305669 & Range & 998.81 & Trim Var. & 14519.3313959361 \tabularnewline
V(Y[t],d=2,D=0) & 44577.6447770418 & Range & 1260.98 & Trim Var. & 19336.8823895551 \tabularnewline
V(Y[t],d=3,D=0) & 119845.498404135 & Range & 1886.22 & Trim Var. & 56531.3586033727 \tabularnewline
V(Y[t],d=0,D=1) & 707687.80582695 & Range & 3288.69 & Trim Var. & 413491.452797735 \tabularnewline
V(Y[t],d=1,D=1) & 47152.0163613321 & Range & 1278.01 & Trim Var. & 18607.9855404878 \tabularnewline
V(Y[t],d=2,D=1) & 93095.020674058 & Range & 1774.54 & Trim Var. & 31857.3798102564 \tabularnewline
V(Y[t],d=3,D=1) & 229353.867365859 & Range & 3115.91 & Trim Var. & 72378.2840821862 \tabularnewline
V(Y[t],d=0,D=2) & 780784.525397063 & Range & 3112.59 & Trim Var. & 580910.483462903 \tabularnewline
V(Y[t],d=1,D=2) & 111510.617770252 & Range & 1769.31 & Trim Var. & 52781.036331613 \tabularnewline
V(Y[t],d=2,D=2) & 225240.110387522 & Range & 2472.07000000000 & Trim Var. & 88227.0361029886 \tabularnewline
V(Y[t],d=3,D=2) & 520533.799743371 & Range & 4299.74 & Trim Var. & 186845.656271429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35937&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]540732.286750819[/C][C]Range[/C][C]2682.51[/C][C]Trim Var.[/C][C]424099.539489623[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]31422.1085305669[/C][C]Range[/C][C]998.81[/C][C]Trim Var.[/C][C]14519.3313959361[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]44577.6447770418[/C][C]Range[/C][C]1260.98[/C][C]Trim Var.[/C][C]19336.8823895551[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]119845.498404135[/C][C]Range[/C][C]1886.22[/C][C]Trim Var.[/C][C]56531.3586033727[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]707687.80582695[/C][C]Range[/C][C]3288.69[/C][C]Trim Var.[/C][C]413491.452797735[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]47152.0163613321[/C][C]Range[/C][C]1278.01[/C][C]Trim Var.[/C][C]18607.9855404878[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]93095.020674058[/C][C]Range[/C][C]1774.54[/C][C]Trim Var.[/C][C]31857.3798102564[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]229353.867365859[/C][C]Range[/C][C]3115.91[/C][C]Trim Var.[/C][C]72378.2840821862[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]780784.525397063[/C][C]Range[/C][C]3112.59[/C][C]Trim Var.[/C][C]580910.483462903[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]111510.617770252[/C][C]Range[/C][C]1769.31[/C][C]Trim Var.[/C][C]52781.036331613[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]225240.110387522[/C][C]Range[/C][C]2472.07000000000[/C][C]Trim Var.[/C][C]88227.0361029886[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]520533.799743371[/C][C]Range[/C][C]4299.74[/C][C]Trim Var.[/C][C]186845.656271429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35937&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35937&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)540732.286750819Range2682.51Trim Var.424099.539489623
V(Y[t],d=1,D=0)31422.1085305669Range998.81Trim Var.14519.3313959361
V(Y[t],d=2,D=0)44577.6447770418Range1260.98Trim Var.19336.8823895551
V(Y[t],d=3,D=0)119845.498404135Range1886.22Trim Var.56531.3586033727
V(Y[t],d=0,D=1)707687.80582695Range3288.69Trim Var.413491.452797735
V(Y[t],d=1,D=1)47152.0163613321Range1278.01Trim Var.18607.9855404878
V(Y[t],d=2,D=1)93095.020674058Range1774.54Trim Var.31857.3798102564
V(Y[t],d=3,D=1)229353.867365859Range3115.91Trim Var.72378.2840821862
V(Y[t],d=0,D=2)780784.525397063Range3112.59Trim Var.580910.483462903
V(Y[t],d=1,D=2)111510.617770252Range1769.31Trim Var.52781.036331613
V(Y[t],d=2,D=2)225240.110387522Range2472.07000000000Trim Var.88227.0361029886
V(Y[t],d=3,D=2)520533.799743371Range4299.74Trim Var.186845.656271429



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')