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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationWed, 03 Dec 2008 10:55:55 -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/2008/Dec/03/t1228327043m03hkx8fek4i2s5.htm/, Retrieved Sun, 19 May 2024 06:01:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28823, Retrieved Sun, 19 May 2024 06:01:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [Variance Reductio...] [2008-12-03 17:55:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
98.4
99.4
108.8
112.6
104.4
112.2
81.1
97.1
112.6
113.8
107.8
103.2
103.3
101.2
107.7
110.4
101.9
115.9
89.9
88.6
117.2
123.9
100
103.6
94.1
98.7
119.5
112.7
104.4
124.7
89.1
97
121.6
118.8
114
111.5
97.2
102.5
113.4
109.8
104.9
126.1
80
96.8
117.2
112.3
117.3
111.1
102.2
104.3
122.9
107.6
121.3
131.5
89
104.4
128.9
135.9
133.3
121.3
120.5
120.4
137.9
126.1
133.2
151.1
105
119
140.4
156.6
137.1
122.7
125.8




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=28823&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=28823&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28823&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)229.557705479452Range76.6Trim Var.132.677846153846
V(Y[t],d=1,D=0)270.946940532081Range74.7Trim Var.147.466577380952
V(Y[t],d=2,D=0)712.330969818913Range130.2Trim Var.357.959498207885
V(Y[t],d=3,D=0)2147.64097101449Range223.6Trim Var.1115.43624537282
V(Y[t],d=0,D=1)66.0722349726776Range32.8Trim Var.42.9512554426705
V(Y[t],d=1,D=1)70.581988700565Range37Trim Var.44.2219881201957
V(Y[t],d=2,D=1)218.864301578025Range60Trim Var.150.813519593614
V(Y[t],d=3,D=1)738.98997277677Range112.7Trim Var.509.854852941176
V(Y[t],d=0,D=2)127.016454081633Range48Trim Var.86.480919158361
V(Y[t],d=1,D=2)167.957974290780Range62.2Trim Var.96.214663182346
V(Y[t],d=2,D=2)529.970647548566Range103.3Trim Var.297.081780487805
V(Y[t],d=3,D=2)1855.89041545894Range187.6Trim Var.1148.41528205128

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 229.557705479452 & Range & 76.6 & Trim Var. & 132.677846153846 \tabularnewline
V(Y[t],d=1,D=0) & 270.946940532081 & Range & 74.7 & Trim Var. & 147.466577380952 \tabularnewline
V(Y[t],d=2,D=0) & 712.330969818913 & Range & 130.2 & Trim Var. & 357.959498207885 \tabularnewline
V(Y[t],d=3,D=0) & 2147.64097101449 & Range & 223.6 & Trim Var. & 1115.43624537282 \tabularnewline
V(Y[t],d=0,D=1) & 66.0722349726776 & Range & 32.8 & Trim Var. & 42.9512554426705 \tabularnewline
V(Y[t],d=1,D=1) & 70.581988700565 & Range & 37 & Trim Var. & 44.2219881201957 \tabularnewline
V(Y[t],d=2,D=1) & 218.864301578025 & Range & 60 & Trim Var. & 150.813519593614 \tabularnewline
V(Y[t],d=3,D=1) & 738.98997277677 & Range & 112.7 & Trim Var. & 509.854852941176 \tabularnewline
V(Y[t],d=0,D=2) & 127.016454081633 & Range & 48 & Trim Var. & 86.480919158361 \tabularnewline
V(Y[t],d=1,D=2) & 167.957974290780 & Range & 62.2 & Trim Var. & 96.214663182346 \tabularnewline
V(Y[t],d=2,D=2) & 529.970647548566 & Range & 103.3 & Trim Var. & 297.081780487805 \tabularnewline
V(Y[t],d=3,D=2) & 1855.89041545894 & Range & 187.6 & Trim Var. & 1148.41528205128 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28823&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]229.557705479452[/C][C]Range[/C][C]76.6[/C][C]Trim Var.[/C][C]132.677846153846[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]270.946940532081[/C][C]Range[/C][C]74.7[/C][C]Trim Var.[/C][C]147.466577380952[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]712.330969818913[/C][C]Range[/C][C]130.2[/C][C]Trim Var.[/C][C]357.959498207885[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2147.64097101449[/C][C]Range[/C][C]223.6[/C][C]Trim Var.[/C][C]1115.43624537282[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]66.0722349726776[/C][C]Range[/C][C]32.8[/C][C]Trim Var.[/C][C]42.9512554426705[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]70.581988700565[/C][C]Range[/C][C]37[/C][C]Trim Var.[/C][C]44.2219881201957[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]218.864301578025[/C][C]Range[/C][C]60[/C][C]Trim Var.[/C][C]150.813519593614[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]738.98997277677[/C][C]Range[/C][C]112.7[/C][C]Trim Var.[/C][C]509.854852941176[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]127.016454081633[/C][C]Range[/C][C]48[/C][C]Trim Var.[/C][C]86.480919158361[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]167.957974290780[/C][C]Range[/C][C]62.2[/C][C]Trim Var.[/C][C]96.214663182346[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]529.970647548566[/C][C]Range[/C][C]103.3[/C][C]Trim Var.[/C][C]297.081780487805[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1855.89041545894[/C][C]Range[/C][C]187.6[/C][C]Trim Var.[/C][C]1148.41528205128[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28823&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28823&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)229.557705479452Range76.6Trim Var.132.677846153846
V(Y[t],d=1,D=0)270.946940532081Range74.7Trim Var.147.466577380952
V(Y[t],d=2,D=0)712.330969818913Range130.2Trim Var.357.959498207885
V(Y[t],d=3,D=0)2147.64097101449Range223.6Trim Var.1115.43624537282
V(Y[t],d=0,D=1)66.0722349726776Range32.8Trim Var.42.9512554426705
V(Y[t],d=1,D=1)70.581988700565Range37Trim Var.44.2219881201957
V(Y[t],d=2,D=1)218.864301578025Range60Trim Var.150.813519593614
V(Y[t],d=3,D=1)738.98997277677Range112.7Trim Var.509.854852941176
V(Y[t],d=0,D=2)127.016454081633Range48Trim Var.86.480919158361
V(Y[t],d=1,D=2)167.957974290780Range62.2Trim Var.96.214663182346
V(Y[t],d=2,D=2)529.970647548566Range103.3Trim Var.297.081780487805
V(Y[t],d=3,D=2)1855.89041545894Range187.6Trim Var.1148.41528205128



Parameters (Session):
par1 = -0.4 ; par2 = 0 ; par3 = 1 ; par4 = 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')