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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 computationFri, 04 Dec 2009 10:23:31 -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/t1259947663lfocrjm9h8nsdwm.htm/, Retrieved Sat, 27 Apr 2024 13:49:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63947, Retrieved Sat, 27 Apr 2024 13:49:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
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] [WS9: Differentie ...] [2009-12-04 17:23:31] [b8ce264f75295a954feffaf60221d1b0] [Current]
-    D        [Variance Reduction Matrix] [ws9-2] [2009-12-11 12:29:49] [74be16979710d4c4e7c6647856088456]
-    D        [Variance Reduction Matrix] [VRM] [2009-12-19 11:44:47] [4d62210f0915d3a20cbf115865da7cd4]
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Dataseries X:
14,3
14,2
15,9
15,3
15,5
15,1
15
12,1
15,8
16,9
15,1
13,7
14,8
14,7
16
15,4
15
15,5
15,1
11,7
16,3
16,7
15
14,9
14,6
15,3
17,9
16,4
15,4
17,9
15,9
13,9
17,8
17,9
17,4
16,7
16
16,6
19,1
17,8
17,2
18,6
16,3
15,1
19,2
17,7
19,1
18
17,5
17,8
21,1
17,2
19,4
19,8
17,6
16,2
19,5
19,9
20
17,3




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=63947&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=63947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63947&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)3.74931920903955Range9.4Trim Var.2.37684136967156
V(Y[t],d=1,D=0)3.60185271770894Range8.5Trim Var.2.32102322206096
V(Y[t],d=2,D=0)9.71900786448881Range15.2Trim Var.5.98407239819005
V(Y[t],d=3,D=0)29.6387280701755Range25.5Trim Var.18.0341960784314
V(Y[t],d=0,D=1)0.708297872340425Range3.1Trim Var.0.495447154471545
V(Y[t],d=1,D=1)1.18716003700277Range5.4Trim Var.0.634455128205128
V(Y[t],d=2,D=1)3.7512077294686Range9.2Trim Var.2.03353205128205
V(Y[t],d=3,D=1)13.0074949494949Range18Trim Var.6.9825641025641
V(Y[t],d=0,D=2)1.51701587301587Range4.60000000000000Trim Var.1.04474798387097
V(Y[t],d=1,D=2)2.35063865546218Range6.7Trim Var.1.40279569892473
V(Y[t],d=2,D=2)7.27522281639928Range11.9Trim Var.4.52355172413793
V(Y[t],d=3,D=2)25.2697916666667Range20.1Trim Var.16.8540394088670

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 3.74931920903955 & Range & 9.4 & Trim Var. & 2.37684136967156 \tabularnewline
V(Y[t],d=1,D=0) & 3.60185271770894 & Range & 8.5 & Trim Var. & 2.32102322206096 \tabularnewline
V(Y[t],d=2,D=0) & 9.71900786448881 & Range & 15.2 & Trim Var. & 5.98407239819005 \tabularnewline
V(Y[t],d=3,D=0) & 29.6387280701755 & Range & 25.5 & Trim Var. & 18.0341960784314 \tabularnewline
V(Y[t],d=0,D=1) & 0.708297872340425 & Range & 3.1 & Trim Var. & 0.495447154471545 \tabularnewline
V(Y[t],d=1,D=1) & 1.18716003700277 & Range & 5.4 & Trim Var. & 0.634455128205128 \tabularnewline
V(Y[t],d=2,D=1) & 3.7512077294686 & Range & 9.2 & Trim Var. & 2.03353205128205 \tabularnewline
V(Y[t],d=3,D=1) & 13.0074949494949 & Range & 18 & Trim Var. & 6.9825641025641 \tabularnewline
V(Y[t],d=0,D=2) & 1.51701587301587 & Range & 4.60000000000000 & Trim Var. & 1.04474798387097 \tabularnewline
V(Y[t],d=1,D=2) & 2.35063865546218 & Range & 6.7 & Trim Var. & 1.40279569892473 \tabularnewline
V(Y[t],d=2,D=2) & 7.27522281639928 & Range & 11.9 & Trim Var. & 4.52355172413793 \tabularnewline
V(Y[t],d=3,D=2) & 25.2697916666667 & Range & 20.1 & Trim Var. & 16.8540394088670 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63947&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]3.74931920903955[/C][C]Range[/C][C]9.4[/C][C]Trim Var.[/C][C]2.37684136967156[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]3.60185271770894[/C][C]Range[/C][C]8.5[/C][C]Trim Var.[/C][C]2.32102322206096[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]9.71900786448881[/C][C]Range[/C][C]15.2[/C][C]Trim Var.[/C][C]5.98407239819005[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]29.6387280701755[/C][C]Range[/C][C]25.5[/C][C]Trim Var.[/C][C]18.0341960784314[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.708297872340425[/C][C]Range[/C][C]3.1[/C][C]Trim Var.[/C][C]0.495447154471545[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]1.18716003700277[/C][C]Range[/C][C]5.4[/C][C]Trim Var.[/C][C]0.634455128205128[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]3.7512077294686[/C][C]Range[/C][C]9.2[/C][C]Trim Var.[/C][C]2.03353205128205[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]13.0074949494949[/C][C]Range[/C][C]18[/C][C]Trim Var.[/C][C]6.9825641025641[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]1.51701587301587[/C][C]Range[/C][C]4.60000000000000[/C][C]Trim Var.[/C][C]1.04474798387097[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]2.35063865546218[/C][C]Range[/C][C]6.7[/C][C]Trim Var.[/C][C]1.40279569892473[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]7.27522281639928[/C][C]Range[/C][C]11.9[/C][C]Trim Var.[/C][C]4.52355172413793[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]25.2697916666667[/C][C]Range[/C][C]20.1[/C][C]Trim Var.[/C][C]16.8540394088670[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63947&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)3.74931920903955Range9.4Trim Var.2.37684136967156
V(Y[t],d=1,D=0)3.60185271770894Range8.5Trim Var.2.32102322206096
V(Y[t],d=2,D=0)9.71900786448881Range15.2Trim Var.5.98407239819005
V(Y[t],d=3,D=0)29.6387280701755Range25.5Trim Var.18.0341960784314
V(Y[t],d=0,D=1)0.708297872340425Range3.1Trim Var.0.495447154471545
V(Y[t],d=1,D=1)1.18716003700277Range5.4Trim Var.0.634455128205128
V(Y[t],d=2,D=1)3.7512077294686Range9.2Trim Var.2.03353205128205
V(Y[t],d=3,D=1)13.0074949494949Range18Trim Var.6.9825641025641
V(Y[t],d=0,D=2)1.51701587301587Range4.60000000000000Trim Var.1.04474798387097
V(Y[t],d=1,D=2)2.35063865546218Range6.7Trim Var.1.40279569892473
V(Y[t],d=2,D=2)7.27522281639928Range11.9Trim Var.4.52355172413793
V(Y[t],d=3,D=2)25.2697916666667Range20.1Trim Var.16.8540394088670



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')