Free Statistics

of Irreproducible Research!

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 computationFri, 04 Dec 2009 06:59:11 -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/Dec/04/t12599355364u3ae7vg4thfc32.htm/, Retrieved Sun, 28 Apr 2024 06:24:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63546, Retrieved Sun, 28 Apr 2024 06:24:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Variance Reduction Matrix] [] [2009-11-27 14:44:05] [b98453cac15ba1066b407e146608df68]
-    D      [Variance Reduction Matrix] [] [2009-12-04 13:59:11] [efd540d63f04881f500eb7fad70c8699] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.7
2.4
2.0
2.1
2.0
1.8
2.7
2.3
1.9
2.0
2.3
2.8
2.4
2.3
2.7
2.7
2.9
3.0
2.2
2.3
2.8
2.8
2.8
2.2
2.6
2.8
2.5
2.4
2.3
1.9
1.7
2.0
2.1
1.7
1.8
1.8
1.8
1.3
1.3
1.3
1.2
1.4
2.2
2.9
3.1
3.5
3.6
4.4
4.1
5.1
5.8
5.9
5.4
5.5
4.8
3.2
2.7
2.1
1.9
0.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63546&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63546&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63546&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'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)1.34044067796610Range5.3Trim Var.0.756240573152338
V(Y[t],d=1,D=0)0.243267095265926Range2.6Trim Var.0.120282805429864
V(Y[t],d=2,D=0)0.36194797338173Range2.6Trim Var.0.225082352941176
V(Y[t],d=3,D=0)0.998928571428571Range4.8Trim Var.0.62753725490196
V(Y[t],d=0,D=1)3.10669769503546Range8.4Trim Var.1.74255516840883
V(Y[t],d=1,D=1)0.631720629047179Range3.8Trim Var.0.319024390243902
V(Y[t],d=2,D=1)0.918961352657005Range4.2Trim Var.0.523076923076923
V(Y[t],d=3,D=1)2.48688888888889Range6.8Trim Var.1.48094466936572
V(Y[t],d=0,D=2)7.79473015873016Range12.1Trim Var.5.00603830645161
V(Y[t],d=1,D=2)1.52868907563025Range5.2Trim Var.0.87989247311828
V(Y[t],d=2,D=2)2.15422459893048Range6Trim Var.1.44529885057471
V(Y[t],d=3,D=2)5.741875Range9.8Trim Var.3.77480295566502

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1.34044067796610 & Range & 5.3 & Trim Var. & 0.756240573152338 \tabularnewline
V(Y[t],d=1,D=0) & 0.243267095265926 & Range & 2.6 & Trim Var. & 0.120282805429864 \tabularnewline
V(Y[t],d=2,D=0) & 0.36194797338173 & Range & 2.6 & Trim Var. & 0.225082352941176 \tabularnewline
V(Y[t],d=3,D=0) & 0.998928571428571 & Range & 4.8 & Trim Var. & 0.62753725490196 \tabularnewline
V(Y[t],d=0,D=1) & 3.10669769503546 & Range & 8.4 & Trim Var. & 1.74255516840883 \tabularnewline
V(Y[t],d=1,D=1) & 0.631720629047179 & Range & 3.8 & Trim Var. & 0.319024390243902 \tabularnewline
V(Y[t],d=2,D=1) & 0.918961352657005 & Range & 4.2 & Trim Var. & 0.523076923076923 \tabularnewline
V(Y[t],d=3,D=1) & 2.48688888888889 & Range & 6.8 & Trim Var. & 1.48094466936572 \tabularnewline
V(Y[t],d=0,D=2) & 7.79473015873016 & Range & 12.1 & Trim Var. & 5.00603830645161 \tabularnewline
V(Y[t],d=1,D=2) & 1.52868907563025 & Range & 5.2 & Trim Var. & 0.87989247311828 \tabularnewline
V(Y[t],d=2,D=2) & 2.15422459893048 & Range & 6 & Trim Var. & 1.44529885057471 \tabularnewline
V(Y[t],d=3,D=2) & 5.741875 & Range & 9.8 & Trim Var. & 3.77480295566502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63546&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1.34044067796610[/C][C]Range[/C][C]5.3[/C][C]Trim Var.[/C][C]0.756240573152338[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.243267095265926[/C][C]Range[/C][C]2.6[/C][C]Trim Var.[/C][C]0.120282805429864[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.36194797338173[/C][C]Range[/C][C]2.6[/C][C]Trim Var.[/C][C]0.225082352941176[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.998928571428571[/C][C]Range[/C][C]4.8[/C][C]Trim Var.[/C][C]0.62753725490196[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]3.10669769503546[/C][C]Range[/C][C]8.4[/C][C]Trim Var.[/C][C]1.74255516840883[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.631720629047179[/C][C]Range[/C][C]3.8[/C][C]Trim Var.[/C][C]0.319024390243902[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.918961352657005[/C][C]Range[/C][C]4.2[/C][C]Trim Var.[/C][C]0.523076923076923[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]2.48688888888889[/C][C]Range[/C][C]6.8[/C][C]Trim Var.[/C][C]1.48094466936572[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]7.79473015873016[/C][C]Range[/C][C]12.1[/C][C]Trim Var.[/C][C]5.00603830645161[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]1.52868907563025[/C][C]Range[/C][C]5.2[/C][C]Trim Var.[/C][C]0.87989247311828[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]2.15422459893048[/C][C]Range[/C][C]6[/C][C]Trim Var.[/C][C]1.44529885057471[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]5.741875[/C][C]Range[/C][C]9.8[/C][C]Trim Var.[/C][C]3.77480295566502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63546&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63546&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)1.34044067796610Range5.3Trim Var.0.756240573152338
V(Y[t],d=1,D=0)0.243267095265926Range2.6Trim Var.0.120282805429864
V(Y[t],d=2,D=0)0.36194797338173Range2.6Trim Var.0.225082352941176
V(Y[t],d=3,D=0)0.998928571428571Range4.8Trim Var.0.62753725490196
V(Y[t],d=0,D=1)3.10669769503546Range8.4Trim Var.1.74255516840883
V(Y[t],d=1,D=1)0.631720629047179Range3.8Trim Var.0.319024390243902
V(Y[t],d=2,D=1)0.918961352657005Range4.2Trim Var.0.523076923076923
V(Y[t],d=3,D=1)2.48688888888889Range6.8Trim Var.1.48094466936572
V(Y[t],d=0,D=2)7.79473015873016Range12.1Trim Var.5.00603830645161
V(Y[t],d=1,D=2)1.52868907563025Range5.2Trim Var.0.87989247311828
V(Y[t],d=2,D=2)2.15422459893048Range6Trim Var.1.44529885057471
V(Y[t],d=3,D=2)5.741875Range9.8Trim Var.3.77480295566502



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')