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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 computationTue, 28 Dec 2010 16:20:38 +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/2010/Dec/28/t1293553097polvvoucja6eiqw.htm/, Retrieved Sat, 04 May 2024 21:56:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116402, Retrieved Sat, 04 May 2024 21:56:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [] [2010-12-28 16:20:38] [a8b9961884f5001e2816791dd4ebd90c] [Current]
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Dataseries X:
11100
8962
9173
8738
8459
8078
8411
8291
7810
8616
8312
9692
9911
8915
9452
9112
8472
8230
8384
8625
8221
8649
8625
10443
10357
8586
8892
8329
8101
7922
8120
7838
7735
8406
8209
9451
10041
9411
10405
8467
8464
8102
7627
7513
7510
8291
8064
9383
9706
8579
9474
8318
8213
8059
9111
7708
7680
8014
8007
8718
9486
9113
9025
8476
7952
7759
7835
7600
7651
8319
8812
8630




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=116402&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=116402&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116402&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)601550.046165884Range3590Trim Var.353833.795386905
V(Y[t],d=1,D=0)528938.711871227Range3956Trim Var.244723.187916027
V(Y[t],d=2,D=0)1241706.43146998Range5281Trim Var.745499.06530936
V(Y[t],d=3,D=0)3909971.49872123Range9423Trim Var.2275416.52786885
V(Y[t],d=0,D=1)290565.419209040Range2789Trim Var.147726.506289308
V(Y[t],d=1,D=1)344305.538281707Range2902Trim Var.201078.002177068
V(Y[t],d=2,D=1)812837.869630974Range4960Trim Var.421655.391779789
V(Y[t],d=3,D=1)2484929.78822055Range8215Trim Var.1271616.28313725
V(Y[t],d=0,D=2)963965.615248227Range4833Trim Var.436201.837398374
V(Y[t],d=1,D=2)1056860.77705828Range4960Trim Var.510167.83902439
V(Y[t],d=2,D=2)2337006.83285024Range8617Trim Var.1099811.40448718
V(Y[t],d=3,D=2)7016010.4949495Range14529Trim Var.2861402.30499325

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 601550.046165884 & Range & 3590 & Trim Var. & 353833.795386905 \tabularnewline
V(Y[t],d=1,D=0) & 528938.711871227 & Range & 3956 & Trim Var. & 244723.187916027 \tabularnewline
V(Y[t],d=2,D=0) & 1241706.43146998 & Range & 5281 & Trim Var. & 745499.06530936 \tabularnewline
V(Y[t],d=3,D=0) & 3909971.49872123 & Range & 9423 & Trim Var. & 2275416.52786885 \tabularnewline
V(Y[t],d=0,D=1) & 290565.419209040 & Range & 2789 & Trim Var. & 147726.506289308 \tabularnewline
V(Y[t],d=1,D=1) & 344305.538281707 & Range & 2902 & Trim Var. & 201078.002177068 \tabularnewline
V(Y[t],d=2,D=1) & 812837.869630974 & Range & 4960 & Trim Var. & 421655.391779789 \tabularnewline
V(Y[t],d=3,D=1) & 2484929.78822055 & Range & 8215 & Trim Var. & 1271616.28313725 \tabularnewline
V(Y[t],d=0,D=2) & 963965.615248227 & Range & 4833 & Trim Var. & 436201.837398374 \tabularnewline
V(Y[t],d=1,D=2) & 1056860.77705828 & Range & 4960 & Trim Var. & 510167.83902439 \tabularnewline
V(Y[t],d=2,D=2) & 2337006.83285024 & Range & 8617 & Trim Var. & 1099811.40448718 \tabularnewline
V(Y[t],d=3,D=2) & 7016010.4949495 & Range & 14529 & Trim Var. & 2861402.30499325 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116402&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]601550.046165884[/C][C]Range[/C][C]3590[/C][C]Trim Var.[/C][C]353833.795386905[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]528938.711871227[/C][C]Range[/C][C]3956[/C][C]Trim Var.[/C][C]244723.187916027[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]1241706.43146998[/C][C]Range[/C][C]5281[/C][C]Trim Var.[/C][C]745499.06530936[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]3909971.49872123[/C][C]Range[/C][C]9423[/C][C]Trim Var.[/C][C]2275416.52786885[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]290565.419209040[/C][C]Range[/C][C]2789[/C][C]Trim Var.[/C][C]147726.506289308[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]344305.538281707[/C][C]Range[/C][C]2902[/C][C]Trim Var.[/C][C]201078.002177068[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]812837.869630974[/C][C]Range[/C][C]4960[/C][C]Trim Var.[/C][C]421655.391779789[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]2484929.78822055[/C][C]Range[/C][C]8215[/C][C]Trim Var.[/C][C]1271616.28313725[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]963965.615248227[/C][C]Range[/C][C]4833[/C][C]Trim Var.[/C][C]436201.837398374[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]1056860.77705828[/C][C]Range[/C][C]4960[/C][C]Trim Var.[/C][C]510167.83902439[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]2337006.83285024[/C][C]Range[/C][C]8617[/C][C]Trim Var.[/C][C]1099811.40448718[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]7016010.4949495[/C][C]Range[/C][C]14529[/C][C]Trim Var.[/C][C]2861402.30499325[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116402&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116402&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)601550.046165884Range3590Trim Var.353833.795386905
V(Y[t],d=1,D=0)528938.711871227Range3956Trim Var.244723.187916027
V(Y[t],d=2,D=0)1241706.43146998Range5281Trim Var.745499.06530936
V(Y[t],d=3,D=0)3909971.49872123Range9423Trim Var.2275416.52786885
V(Y[t],d=0,D=1)290565.419209040Range2789Trim Var.147726.506289308
V(Y[t],d=1,D=1)344305.538281707Range2902Trim Var.201078.002177068
V(Y[t],d=2,D=1)812837.869630974Range4960Trim Var.421655.391779789
V(Y[t],d=3,D=1)2484929.78822055Range8215Trim Var.1271616.28313725
V(Y[t],d=0,D=2)963965.615248227Range4833Trim Var.436201.837398374
V(Y[t],d=1,D=2)1056860.77705828Range4960Trim Var.510167.83902439
V(Y[t],d=2,D=2)2337006.83285024Range8617Trim Var.1099811.40448718
V(Y[t],d=3,D=2)7016010.4949495Range14529Trim Var.2861402.30499325



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,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')
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()