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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationMon, 26 Nov 2007 12:07:33 -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/26/t11961036396rhy0l4t7tsrqnj.htm/, Retrieved Thu, 02 May 2024 16:45:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6635, Retrieved Thu, 02 May 2024 16:45:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [ws7] [2007-11-26 19:07:33] [652340b756d38f2b8be1c928f9296fc3] [Current]
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Dataseries X:
110.40
96.40
101.90
106.20
81.00
94.70
101.00
109.40
102.30
90.70
96.20
96.10
106.00
103.10
102.00
104.70
86.00
92.10
106.90
112.60
101.70
92.00
97.40
97.00
105.40
102.70
98.10
104.50
87.40
89.90
109.80
111.70
98.60
96.90
95.10
97.00
112.70
102.90
97.40
111.40
87.40
96.80
114.10
110.30
103.90
101.60
94.60
95.90
104.70
102.80
98.10
113.90
80.90
95.70
113.20
105.90
108.80
102.30
99.00
100.70
115.50




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=6635&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=6635&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6635&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)65.3014316939891Range34.6Trim Var.35.5192760180996
V(Y[t],d=1,D=0)124.666720338983Range52.9Trim Var.76.1226275331936
V(Y[t],d=2,D=0)317.433477498539Range96.6Trim Var.169.309760522496
V(Y[t],d=3,D=0)945.515680580762Range165.9Trim Var.479.238533182504
V(Y[t],d=0,D=1)124.666720338983Range52.9Trim Var.76.1226275331936
V(Y[t],d=1,D=1)317.433477498539Range96.6Trim Var.169.309760522496
V(Y[t],d=2,D=1)945.515680580762Range165.9Trim Var.479.238533182504
V(Y[t],d=3,D=1)3067.33265037594Range307.6Trim Var.1513.39894901961
V(Y[t],d=0,D=2)317.433477498539Range96.6Trim Var.169.309760522496
V(Y[t],d=1,D=2)945.515680580762Range165.9Trim Var.479.238533182504
V(Y[t],d=2,D=2)3067.33265037594Range307.6Trim Var.1513.39894901961
V(Y[t],d=3,D=2)10457.6490876623Range566.1Trim Var.5061.58240408163

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 65.3014316939891 & Range & 34.6 & Trim Var. & 35.5192760180996 \tabularnewline
V(Y[t],d=1,D=0) & 124.666720338983 & Range & 52.9 & Trim Var. & 76.1226275331936 \tabularnewline
V(Y[t],d=2,D=0) & 317.433477498539 & Range & 96.6 & Trim Var. & 169.309760522496 \tabularnewline
V(Y[t],d=3,D=0) & 945.515680580762 & Range & 165.9 & Trim Var. & 479.238533182504 \tabularnewline
V(Y[t],d=0,D=1) & 124.666720338983 & Range & 52.9 & Trim Var. & 76.1226275331936 \tabularnewline
V(Y[t],d=1,D=1) & 317.433477498539 & Range & 96.6 & Trim Var. & 169.309760522496 \tabularnewline
V(Y[t],d=2,D=1) & 945.515680580762 & Range & 165.9 & Trim Var. & 479.238533182504 \tabularnewline
V(Y[t],d=3,D=1) & 3067.33265037594 & Range & 307.6 & Trim Var. & 1513.39894901961 \tabularnewline
V(Y[t],d=0,D=2) & 317.433477498539 & Range & 96.6 & Trim Var. & 169.309760522496 \tabularnewline
V(Y[t],d=1,D=2) & 945.515680580762 & Range & 165.9 & Trim Var. & 479.238533182504 \tabularnewline
V(Y[t],d=2,D=2) & 3067.33265037594 & Range & 307.6 & Trim Var. & 1513.39894901961 \tabularnewline
V(Y[t],d=3,D=2) & 10457.6490876623 & Range & 566.1 & Trim Var. & 5061.58240408163 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6635&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]65.3014316939891[/C][C]Range[/C][C]34.6[/C][C]Trim Var.[/C][C]35.5192760180996[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]124.666720338983[/C][C]Range[/C][C]52.9[/C][C]Trim Var.[/C][C]76.1226275331936[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]317.433477498539[/C][C]Range[/C][C]96.6[/C][C]Trim Var.[/C][C]169.309760522496[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]945.515680580762[/C][C]Range[/C][C]165.9[/C][C]Trim Var.[/C][C]479.238533182504[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]124.666720338983[/C][C]Range[/C][C]52.9[/C][C]Trim Var.[/C][C]76.1226275331936[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]317.433477498539[/C][C]Range[/C][C]96.6[/C][C]Trim Var.[/C][C]169.309760522496[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]945.515680580762[/C][C]Range[/C][C]165.9[/C][C]Trim Var.[/C][C]479.238533182504[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]3067.33265037594[/C][C]Range[/C][C]307.6[/C][C]Trim Var.[/C][C]1513.39894901961[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]317.433477498539[/C][C]Range[/C][C]96.6[/C][C]Trim Var.[/C][C]169.309760522496[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]945.515680580762[/C][C]Range[/C][C]165.9[/C][C]Trim Var.[/C][C]479.238533182504[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]3067.33265037594[/C][C]Range[/C][C]307.6[/C][C]Trim Var.[/C][C]1513.39894901961[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]10457.6490876623[/C][C]Range[/C][C]566.1[/C][C]Trim Var.[/C][C]5061.58240408163[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6635&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6635&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)65.3014316939891Range34.6Trim Var.35.5192760180996
V(Y[t],d=1,D=0)124.666720338983Range52.9Trim Var.76.1226275331936
V(Y[t],d=2,D=0)317.433477498539Range96.6Trim Var.169.309760522496
V(Y[t],d=3,D=0)945.515680580762Range165.9Trim Var.479.238533182504
V(Y[t],d=0,D=1)124.666720338983Range52.9Trim Var.76.1226275331936
V(Y[t],d=1,D=1)317.433477498539Range96.6Trim Var.169.309760522496
V(Y[t],d=2,D=1)945.515680580762Range165.9Trim Var.479.238533182504
V(Y[t],d=3,D=1)3067.33265037594Range307.6Trim Var.1513.39894901961
V(Y[t],d=0,D=2)317.433477498539Range96.6Trim Var.169.309760522496
V(Y[t],d=1,D=2)945.515680580762Range165.9Trim Var.479.238533182504
V(Y[t],d=2,D=2)3067.33265037594Range307.6Trim Var.1513.39894901961
V(Y[t],d=3,D=2)10457.6490876623Range566.1Trim Var.5061.58240408163



Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 1 ;
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')