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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationMon, 30 Nov 2009 13:15:00 -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/2009/Nov/30/t1259612147mpk52zo62cthpof.htm/, Retrieved Wed, 01 May 2024 23:39:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61884, Retrieved Wed, 01 May 2024 23:39:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Variance Reduction Matrix] [] [2009-11-26 15:13:39] [0750c128064677e728c9436fc3f45ae7]
-   P     [Variance Reduction Matrix] [review 8] [2009-11-30 20:15:00] [6198946fb53eb5eb18db46bb758f7fde] [Current]
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Dataseries X:
1.3
1.2
1.1
1.4
1.2
1.5
1.1
1.3
1.5
1.1
1.4
1.3
1.5
1.6
1.7
1.1
1.6
1.3
1.7
1.6
1.7
1.9
1.8
1.9
1.6
1.5
1.6
1.6
1.7
2
2
1.9
1.7
1.8
1.9
1.7
2
2.1
2.4
2.5
2.5
2.6
2.2
2.5
2.8
2.8
2.9
3
3.1
2.9
2.7
2.2
2.5
2.3
2.6
2.3
2.2
1.8
1.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61884&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61884&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61884&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)0.296160140268849Range2Trim Var.0.199207843137255
V(Y[t],d=1,D=0)0.0604506957047792Range1.1Trim Var.0.0397874149659864
V(Y[t],d=2,D=0)0.172675438596491Range1.9Trim Var.0.097312925170068
V(Y[t],d=3,D=0)0.611220779220779Range3.7Trim Var.0.352548758865248
V(Y[t],d=0,D=1)0.271951896392229Range2.4Trim Var.0.143756097560976
V(Y[t],d=1,D=1)0.174072463768116Range1.7Trim Var.0.114304993252362
V(Y[t],d=2,D=1)0.491090909090909Range2.9Trim Var.0.302388663967611
V(Y[t],d=3,D=1)1.75041754756871Range5.6Trim Var.0.992716927453769
V(Y[t],d=0,D=2)0.790285714285714Range3.6Trim Var.0.476505747126437
V(Y[t],d=1,D=2)0.497040998217469Range2.7Trim Var.0.344413793103448
V(Y[t],d=2,D=2)1.37210227272727Range4.9Trim Var.0.826847290640394
V(Y[t],d=3,D=2)4.88322580645161Range9.6Trim Var.2.6510582010582

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.296160140268849 & Range & 2 & Trim Var. & 0.199207843137255 \tabularnewline
V(Y[t],d=1,D=0) & 0.0604506957047792 & Range & 1.1 & Trim Var. & 0.0397874149659864 \tabularnewline
V(Y[t],d=2,D=0) & 0.172675438596491 & Range & 1.9 & Trim Var. & 0.097312925170068 \tabularnewline
V(Y[t],d=3,D=0) & 0.611220779220779 & Range & 3.7 & Trim Var. & 0.352548758865248 \tabularnewline
V(Y[t],d=0,D=1) & 0.271951896392229 & Range & 2.4 & Trim Var. & 0.143756097560976 \tabularnewline
V(Y[t],d=1,D=1) & 0.174072463768116 & Range & 1.7 & Trim Var. & 0.114304993252362 \tabularnewline
V(Y[t],d=2,D=1) & 0.491090909090909 & Range & 2.9 & Trim Var. & 0.302388663967611 \tabularnewline
V(Y[t],d=3,D=1) & 1.75041754756871 & Range & 5.6 & Trim Var. & 0.992716927453769 \tabularnewline
V(Y[t],d=0,D=2) & 0.790285714285714 & Range & 3.6 & Trim Var. & 0.476505747126437 \tabularnewline
V(Y[t],d=1,D=2) & 0.497040998217469 & Range & 2.7 & Trim Var. & 0.344413793103448 \tabularnewline
V(Y[t],d=2,D=2) & 1.37210227272727 & Range & 4.9 & Trim Var. & 0.826847290640394 \tabularnewline
V(Y[t],d=3,D=2) & 4.88322580645161 & Range & 9.6 & Trim Var. & 2.6510582010582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61884&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.296160140268849[/C][C]Range[/C][C]2[/C][C]Trim Var.[/C][C]0.199207843137255[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.0604506957047792[/C][C]Range[/C][C]1.1[/C][C]Trim Var.[/C][C]0.0397874149659864[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.172675438596491[/C][C]Range[/C][C]1.9[/C][C]Trim Var.[/C][C]0.097312925170068[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.611220779220779[/C][C]Range[/C][C]3.7[/C][C]Trim Var.[/C][C]0.352548758865248[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.271951896392229[/C][C]Range[/C][C]2.4[/C][C]Trim Var.[/C][C]0.143756097560976[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.174072463768116[/C][C]Range[/C][C]1.7[/C][C]Trim Var.[/C][C]0.114304993252362[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.491090909090909[/C][C]Range[/C][C]2.9[/C][C]Trim Var.[/C][C]0.302388663967611[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1.75041754756871[/C][C]Range[/C][C]5.6[/C][C]Trim Var.[/C][C]0.992716927453769[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.790285714285714[/C][C]Range[/C][C]3.6[/C][C]Trim Var.[/C][C]0.476505747126437[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.497040998217469[/C][C]Range[/C][C]2.7[/C][C]Trim Var.[/C][C]0.344413793103448[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]1.37210227272727[/C][C]Range[/C][C]4.9[/C][C]Trim Var.[/C][C]0.826847290640394[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]4.88322580645161[/C][C]Range[/C][C]9.6[/C][C]Trim Var.[/C][C]2.6510582010582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61884&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61884&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)0.296160140268849Range2Trim Var.0.199207843137255
V(Y[t],d=1,D=0)0.0604506957047792Range1.1Trim Var.0.0397874149659864
V(Y[t],d=2,D=0)0.172675438596491Range1.9Trim Var.0.097312925170068
V(Y[t],d=3,D=0)0.611220779220779Range3.7Trim Var.0.352548758865248
V(Y[t],d=0,D=1)0.271951896392229Range2.4Trim Var.0.143756097560976
V(Y[t],d=1,D=1)0.174072463768116Range1.7Trim Var.0.114304993252362
V(Y[t],d=2,D=1)0.491090909090909Range2.9Trim Var.0.302388663967611
V(Y[t],d=3,D=1)1.75041754756871Range5.6Trim Var.0.992716927453769
V(Y[t],d=0,D=2)0.790285714285714Range3.6Trim Var.0.476505747126437
V(Y[t],d=1,D=2)0.497040998217469Range2.7Trim Var.0.344413793103448
V(Y[t],d=2,D=2)1.37210227272727Range4.9Trim Var.0.826847290640394
V(Y[t],d=3,D=2)4.88322580645161Range9.6Trim Var.2.6510582010582



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')