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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationWed, 19 Dec 2007 07:41:41 -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/Dec/19/t1198074277jbg6g0om8669w9y.htm/, Retrieved Mon, 06 May 2024 12:47:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4665, Retrieved Mon, 06 May 2024 12:47:43 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [variance reduction] [2007-12-19 14:41:41] [7c5f7a910a5108d789a748f71ee8daf4] [Current]
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Dataseries X:
101,2
93,1
84,2
85,8
91,8
92,4
80,3
79,7
62,5
57,1
100,8
100,7
86,2
83,2
71,7
77,5
89,8
80,3
78,7
93,8
57,6
60,6
91,0
85,3
77,4
77,3
68,3
69,9
81,7
75,1
69,9
84,0
54,3
60,0
89,9
77,0
85,3
77,6
69,2
75,5
85,7
72,2
79,9
85,3
52,2
61,2
82,4
85,4
78,2
70,2
70,2
69,3
77,5
66,1
69,0
79,2
56,2
64,5
77,4
88,5




Summary of compuational 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 compuational 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=4665&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]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=4665&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4665&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)139.803081920904Range49Trim Var.93.8397798742138
V(Y[t],d=1,D=0)203.232349503214Range79.9Trim Var.91.6980551523948
V(Y[t],d=2,D=0)497.109195402299Range100.4Trim Var.316.439106334842
V(Y[t],d=3,D=0)1433.87361528822Range183.4Trim Var.831.670870588235
V(Y[t],d=0,D=1)43.8912721631206Range29.5Trim Var.26.1961265969802
V(Y[t],d=1,D=1)65.6934690101757Range35.2Trim Var.37.0249878048780
V(Y[t],d=2,D=1)196.899652173913Range62.1Trim Var.107.514198717949
V(Y[t],d=3,D=1)644.145525252525Range118.1Trim Var.346.303252361673
V(Y[t],d=0,D=2)102.340658730159Range42.7Trim Var.61.9238709677419
V(Y[t],d=1,D=2)151.456806722689Range57.2Trim Var.88.2525591397849
V(Y[t],d=2,D=2)461.567807486631Range97Trim Var.274.286850574712
V(Y[t],d=3,D=2)1552.62467803030Range179.9Trim Var.883.485911330048

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 139.803081920904 & Range & 49 & Trim Var. & 93.8397798742138 \tabularnewline
V(Y[t],d=1,D=0) & 203.232349503214 & Range & 79.9 & Trim Var. & 91.6980551523948 \tabularnewline
V(Y[t],d=2,D=0) & 497.109195402299 & Range & 100.4 & Trim Var. & 316.439106334842 \tabularnewline
V(Y[t],d=3,D=0) & 1433.87361528822 & Range & 183.4 & Trim Var. & 831.670870588235 \tabularnewline
V(Y[t],d=0,D=1) & 43.8912721631206 & Range & 29.5 & Trim Var. & 26.1961265969802 \tabularnewline
V(Y[t],d=1,D=1) & 65.6934690101757 & Range & 35.2 & Trim Var. & 37.0249878048780 \tabularnewline
V(Y[t],d=2,D=1) & 196.899652173913 & Range & 62.1 & Trim Var. & 107.514198717949 \tabularnewline
V(Y[t],d=3,D=1) & 644.145525252525 & Range & 118.1 & Trim Var. & 346.303252361673 \tabularnewline
V(Y[t],d=0,D=2) & 102.340658730159 & Range & 42.7 & Trim Var. & 61.9238709677419 \tabularnewline
V(Y[t],d=1,D=2) & 151.456806722689 & Range & 57.2 & Trim Var. & 88.2525591397849 \tabularnewline
V(Y[t],d=2,D=2) & 461.567807486631 & Range & 97 & Trim Var. & 274.286850574712 \tabularnewline
V(Y[t],d=3,D=2) & 1552.62467803030 & Range & 179.9 & Trim Var. & 883.485911330048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4665&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]139.803081920904[/C][C]Range[/C][C]49[/C][C]Trim Var.[/C][C]93.8397798742138[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]203.232349503214[/C][C]Range[/C][C]79.9[/C][C]Trim Var.[/C][C]91.6980551523948[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]497.109195402299[/C][C]Range[/C][C]100.4[/C][C]Trim Var.[/C][C]316.439106334842[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1433.87361528822[/C][C]Range[/C][C]183.4[/C][C]Trim Var.[/C][C]831.670870588235[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]43.8912721631206[/C][C]Range[/C][C]29.5[/C][C]Trim Var.[/C][C]26.1961265969802[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]65.6934690101757[/C][C]Range[/C][C]35.2[/C][C]Trim Var.[/C][C]37.0249878048780[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]196.899652173913[/C][C]Range[/C][C]62.1[/C][C]Trim Var.[/C][C]107.514198717949[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]644.145525252525[/C][C]Range[/C][C]118.1[/C][C]Trim Var.[/C][C]346.303252361673[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]102.340658730159[/C][C]Range[/C][C]42.7[/C][C]Trim Var.[/C][C]61.9238709677419[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]151.456806722689[/C][C]Range[/C][C]57.2[/C][C]Trim Var.[/C][C]88.2525591397849[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]461.567807486631[/C][C]Range[/C][C]97[/C][C]Trim Var.[/C][C]274.286850574712[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1552.62467803030[/C][C]Range[/C][C]179.9[/C][C]Trim Var.[/C][C]883.485911330048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4665&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4665&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)139.803081920904Range49Trim Var.93.8397798742138
V(Y[t],d=1,D=0)203.232349503214Range79.9Trim Var.91.6980551523948
V(Y[t],d=2,D=0)497.109195402299Range100.4Trim Var.316.439106334842
V(Y[t],d=3,D=0)1433.87361528822Range183.4Trim Var.831.670870588235
V(Y[t],d=0,D=1)43.8912721631206Range29.5Trim Var.26.1961265969802
V(Y[t],d=1,D=1)65.6934690101757Range35.2Trim Var.37.0249878048780
V(Y[t],d=2,D=1)196.899652173913Range62.1Trim Var.107.514198717949
V(Y[t],d=3,D=1)644.145525252525Range118.1Trim Var.346.303252361673
V(Y[t],d=0,D=2)102.340658730159Range42.7Trim Var.61.9238709677419
V(Y[t],d=1,D=2)151.456806722689Range57.2Trim Var.88.2525591397849
V(Y[t],d=2,D=2)461.567807486631Range97Trim Var.274.286850574712
V(Y[t],d=3,D=2)1552.62467803030Range179.9Trim Var.883.485911330048



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')