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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 computationTue, 07 Dec 2010 19:17:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/07/t1291749312vptaw1h1alg33om.htm/, Retrieved Fri, 03 May 2024 23:35:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106657, Retrieved Fri, 03 May 2024 23:35:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [workshop 9: varia...] [2010-12-04 15:36:23] [87d60b8864dc39f7ed759c345edfb471]
-    D  [Variance Reduction Matrix] [] [2010-12-07 08:53:07] [1251ac2db27b84d4a3ba43449388906b]
-    D      [Variance Reduction Matrix] [computation 5] [2010-12-07 19:17:05] [4f70e6cd0867f10d298e58e8e27859b5] [Current]
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Dataseries X:
45
61
66
59
58
61
41
27
58
70
49
59
44
36
72
45
56
54
53
35
61
52
47
51
52
63
74
45
51
64
36
30
55
64
39
40
63
45
59
55
40
64
27
28
45
57
45
69
60
56
58
50
51
53
37
22
55
70
62
58
39
49
58
47
42
62
39
40
72
70
54
65




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106657&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106657&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106657&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'George Udny Yule' @ 72.249.76.132







Variance Reduction Matrix
V(Y[t],d=0,D=0)145.642996870110Range52Trim Var.87.7760444209413
V(Y[t],d=1,D=0)271.948088531187Range73Trim Var.176.576036866359
V(Y[t],d=2,D=0)726.849896480331Range111Trim Var.483.098907103825
V(Y[t],d=3,D=0)2184.48635976130Range208Trim Var.1418.76338797814
V(Y[t],d=0,D=1)130.884463276836Range54Trim Var.79.1821480406386
V(Y[t],d=1,D=1)262.843366452367Range63Trim Var.201.459361393324
V(Y[t],d=2,D=1)793.382032667877Range110Trim Var.587.843137254902
V(Y[t],d=3,D=1)2641.00062656642Range207Trim Var.2009.92313725490
V(Y[t],d=0,D=2)389.329343971631Range97Trim Var.210.702090592334
V(Y[t],d=1,D=2)828.67992599445Range99Trim Var.597
V(Y[t],d=2,D=2)2518.71111111111Range196Trim Var.1816.76346153846
V(Y[t],d=3,D=2)8280.52222222222Range332Trim Var.5954.8677462888

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 145.642996870110 & Range & 52 & Trim Var. & 87.7760444209413 \tabularnewline
V(Y[t],d=1,D=0) & 271.948088531187 & Range & 73 & Trim Var. & 176.576036866359 \tabularnewline
V(Y[t],d=2,D=0) & 726.849896480331 & Range & 111 & Trim Var. & 483.098907103825 \tabularnewline
V(Y[t],d=3,D=0) & 2184.48635976130 & Range & 208 & Trim Var. & 1418.76338797814 \tabularnewline
V(Y[t],d=0,D=1) & 130.884463276836 & Range & 54 & Trim Var. & 79.1821480406386 \tabularnewline
V(Y[t],d=1,D=1) & 262.843366452367 & Range & 63 & Trim Var. & 201.459361393324 \tabularnewline
V(Y[t],d=2,D=1) & 793.382032667877 & Range & 110 & Trim Var. & 587.843137254902 \tabularnewline
V(Y[t],d=3,D=1) & 2641.00062656642 & Range & 207 & Trim Var. & 2009.92313725490 \tabularnewline
V(Y[t],d=0,D=2) & 389.329343971631 & Range & 97 & Trim Var. & 210.702090592334 \tabularnewline
V(Y[t],d=1,D=2) & 828.67992599445 & Range & 99 & Trim Var. & 597 \tabularnewline
V(Y[t],d=2,D=2) & 2518.71111111111 & Range & 196 & Trim Var. & 1816.76346153846 \tabularnewline
V(Y[t],d=3,D=2) & 8280.52222222222 & Range & 332 & Trim Var. & 5954.8677462888 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106657&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]145.642996870110[/C][C]Range[/C][C]52[/C][C]Trim Var.[/C][C]87.7760444209413[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]271.948088531187[/C][C]Range[/C][C]73[/C][C]Trim Var.[/C][C]176.576036866359[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]726.849896480331[/C][C]Range[/C][C]111[/C][C]Trim Var.[/C][C]483.098907103825[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2184.48635976130[/C][C]Range[/C][C]208[/C][C]Trim Var.[/C][C]1418.76338797814[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]130.884463276836[/C][C]Range[/C][C]54[/C][C]Trim Var.[/C][C]79.1821480406386[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]262.843366452367[/C][C]Range[/C][C]63[/C][C]Trim Var.[/C][C]201.459361393324[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]793.382032667877[/C][C]Range[/C][C]110[/C][C]Trim Var.[/C][C]587.843137254902[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]2641.00062656642[/C][C]Range[/C][C]207[/C][C]Trim Var.[/C][C]2009.92313725490[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]389.329343971631[/C][C]Range[/C][C]97[/C][C]Trim Var.[/C][C]210.702090592334[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]828.67992599445[/C][C]Range[/C][C]99[/C][C]Trim Var.[/C][C]597[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]2518.71111111111[/C][C]Range[/C][C]196[/C][C]Trim Var.[/C][C]1816.76346153846[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]8280.52222222222[/C][C]Range[/C][C]332[/C][C]Trim Var.[/C][C]5954.8677462888[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106657&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106657&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)145.642996870110Range52Trim Var.87.7760444209413
V(Y[t],d=1,D=0)271.948088531187Range73Trim Var.176.576036866359
V(Y[t],d=2,D=0)726.849896480331Range111Trim Var.483.098907103825
V(Y[t],d=3,D=0)2184.48635976130Range208Trim Var.1418.76338797814
V(Y[t],d=0,D=1)130.884463276836Range54Trim Var.79.1821480406386
V(Y[t],d=1,D=1)262.843366452367Range63Trim Var.201.459361393324
V(Y[t],d=2,D=1)793.382032667877Range110Trim Var.587.843137254902
V(Y[t],d=3,D=1)2641.00062656642Range207Trim Var.2009.92313725490
V(Y[t],d=0,D=2)389.329343971631Range97Trim Var.210.702090592334
V(Y[t],d=1,D=2)828.67992599445Range99Trim Var.597
V(Y[t],d=2,D=2)2518.71111111111Range196Trim Var.1816.76346153846
V(Y[t],d=3,D=2)8280.52222222222Range332Trim Var.5954.8677462888



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')