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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationSat, 24 Nov 2007 06:28:15 -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/2007/Nov/24/t11959104170khti4a2j14sm5l.htm/, Retrieved Fri, 03 May 2024 12:58:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6289, Retrieved Fri, 03 May 2024 12:58:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [WS7Q2] [2007-11-24 13:28:15] [77c9c0d97755c69877fabe95ec1f485a] [Current]
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Dataseries X:
91,25
91,5
91,68
91,81
91,84
91,93
92,08
92,11
92,26
92,28
92,39
92,46
92,82
93,16
93,33
93,51
93,56
93,67
93,76
93,88
94,01
94,21
94,31
94,4
94,9
95,31
95,52
95,68
95,91
95,97
96,15
96,34
96,42
96,54
96,72
96,81
97,19
97,5
97,71
97,86
98,04
98,2
98,25
98,41
98,56
98,62
98,75
98,71
99,05
99,52
99,71
99,8
100,01
99,99
100,12
100,15
100,27
100,42
100,43
100,5
100,95
101,26
101,42
101,68
101,75
101,89
102,07
102,22
102,45
102,62
102,67
102,86
104,78
104,87
105,06
105,14
105,32
105,54
105,68
105,77
106,07
106,03
106,13
106,28
106,61
106,74
107,01
107,1
107,28
107,4
107,59
107,69
107,78




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6289&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6289&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6289&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Variance Reduction Matrix
V(Y[t],d=0,D=0)25.1127817671809Range16.53Trim Var.20.3965066118131
V(Y[t],d=1,D=0)0.0450383540372672Range1.96000000000001Trim Var.0.00645445648900942
V(Y[t],d=2,D=0)0.0897079853479857Range3.56Trim Var.0.0109289715189875
V(Y[t],d=3,D=0)0.265864719101125Range5.49Trim Var.0.0383561867088621
V(Y[t],d=0,D=1)0.366023086419753Range2.26000000000001Trim Var.0.240700845070421
V(Y[t],d=1,D=1)0.0686374050632913Range3.06Trim Var.0.00706195226917077
V(Y[t],d=2,D=1)0.145903343070432Range3.31999999999999Trim Var.0.0184996780684103
V(Y[t],d=3,D=1)0.447771628371628Range6.22Trim Var.0.0645266252587987
V(Y[t],d=0,D=2)0.95002344416027Range3.92999999999999Trim Var.0.606278306010928
V(Y[t],d=1,D=2)0.191851887620720Range4.42Trim Var.0.0197675423728814
V(Y[t],d=2,D=2)0.414105924920851Range6.22Trim Var.0.052407597895967
V(Y[t],d=3,D=2)1.28785118881119Range9.74999999999997Trim Var.0.191616001209922

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 25.1127817671809 & Range & 16.53 & Trim Var. & 20.3965066118131 \tabularnewline
V(Y[t],d=1,D=0) & 0.0450383540372672 & Range & 1.96000000000001 & Trim Var. & 0.00645445648900942 \tabularnewline
V(Y[t],d=2,D=0) & 0.0897079853479857 & Range & 3.56 & Trim Var. & 0.0109289715189875 \tabularnewline
V(Y[t],d=3,D=0) & 0.265864719101125 & Range & 5.49 & Trim Var. & 0.0383561867088621 \tabularnewline
V(Y[t],d=0,D=1) & 0.366023086419753 & Range & 2.26000000000001 & Trim Var. & 0.240700845070421 \tabularnewline
V(Y[t],d=1,D=1) & 0.0686374050632913 & Range & 3.06 & Trim Var. & 0.00706195226917077 \tabularnewline
V(Y[t],d=2,D=1) & 0.145903343070432 & Range & 3.31999999999999 & Trim Var. & 0.0184996780684103 \tabularnewline
V(Y[t],d=3,D=1) & 0.447771628371628 & Range & 6.22 & Trim Var. & 0.0645266252587987 \tabularnewline
V(Y[t],d=0,D=2) & 0.95002344416027 & Range & 3.92999999999999 & Trim Var. & 0.606278306010928 \tabularnewline
V(Y[t],d=1,D=2) & 0.191851887620720 & Range & 4.42 & Trim Var. & 0.0197675423728814 \tabularnewline
V(Y[t],d=2,D=2) & 0.414105924920851 & Range & 6.22 & Trim Var. & 0.052407597895967 \tabularnewline
V(Y[t],d=3,D=2) & 1.28785118881119 & Range & 9.74999999999997 & Trim Var. & 0.191616001209922 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6289&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]25.1127817671809[/C][C]Range[/C][C]16.53[/C][C]Trim Var.[/C][C]20.3965066118131[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.0450383540372672[/C][C]Range[/C][C]1.96000000000001[/C][C]Trim Var.[/C][C]0.00645445648900942[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.0897079853479857[/C][C]Range[/C][C]3.56[/C][C]Trim Var.[/C][C]0.0109289715189875[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.265864719101125[/C][C]Range[/C][C]5.49[/C][C]Trim Var.[/C][C]0.0383561867088621[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.366023086419753[/C][C]Range[/C][C]2.26000000000001[/C][C]Trim Var.[/C][C]0.240700845070421[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.0686374050632913[/C][C]Range[/C][C]3.06[/C][C]Trim Var.[/C][C]0.00706195226917077[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.145903343070432[/C][C]Range[/C][C]3.31999999999999[/C][C]Trim Var.[/C][C]0.0184996780684103[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.447771628371628[/C][C]Range[/C][C]6.22[/C][C]Trim Var.[/C][C]0.0645266252587987[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.95002344416027[/C][C]Range[/C][C]3.92999999999999[/C][C]Trim Var.[/C][C]0.606278306010928[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.191851887620720[/C][C]Range[/C][C]4.42[/C][C]Trim Var.[/C][C]0.0197675423728814[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.414105924920851[/C][C]Range[/C][C]6.22[/C][C]Trim Var.[/C][C]0.052407597895967[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1.28785118881119[/C][C]Range[/C][C]9.74999999999997[/C][C]Trim Var.[/C][C]0.191616001209922[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6289&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6289&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)25.1127817671809Range16.53Trim Var.20.3965066118131
V(Y[t],d=1,D=0)0.0450383540372672Range1.96000000000001Trim Var.0.00645445648900942
V(Y[t],d=2,D=0)0.0897079853479857Range3.56Trim Var.0.0109289715189875
V(Y[t],d=3,D=0)0.265864719101125Range5.49Trim Var.0.0383561867088621
V(Y[t],d=0,D=1)0.366023086419753Range2.26000000000001Trim Var.0.240700845070421
V(Y[t],d=1,D=1)0.0686374050632913Range3.06Trim Var.0.00706195226917077
V(Y[t],d=2,D=1)0.145903343070432Range3.31999999999999Trim Var.0.0184996780684103
V(Y[t],d=3,D=1)0.447771628371628Range6.22Trim Var.0.0645266252587987
V(Y[t],d=0,D=2)0.95002344416027Range3.92999999999999Trim Var.0.606278306010928
V(Y[t],d=1,D=2)0.191851887620720Range4.42Trim Var.0.0197675423728814
V(Y[t],d=2,D=2)0.414105924920851Range6.22Trim Var.0.052407597895967
V(Y[t],d=3,D=2)1.28785118881119Range9.74999999999997Trim Var.0.191616001209922



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')