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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationFri, 19 Dec 2008 06:50:33 -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/2008/Dec/19/t12296947863ofs9hkumdvs0lu.htm/, Retrieved Wed, 15 May 2024 03:24:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35129, Retrieved Wed, 15 May 2024 03:24:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [VRM] [2008-12-19 13:50:33] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
29,59
30,7
30,52
32,67
33,19
37,13
35,54
37,75
41,84
42,94
49,14
44,61
40,22
44,23
45,85
53,38
53,26
51,8
55,3
57,81
63,96
63,77
59,15
56,12
57,42
63,52
61,71
63,01
68,18
72,03
69,75
74,41
74,33
64,24
60,03
59,44
62,5
55,04
58,34
61,92
67,65
67,68
70,3
75,26
71,44
76,36
81,71
92,6
90,6
92,23
94,09
102,79
109,65
124,05
132,69
135,81
116,07
101,42
75,73
55,48




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=35129&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=35129&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35129&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)620.807483474576Range106.22Trim Var.376.079337421384
V(Y[t],d=1,D=0)50.8375968439509Range40.09Trim Var.19.9237965166909
V(Y[t],d=2,D=0)42.0225373260738Range33.62Trim Var.26.0724544117647
V(Y[t],d=3,D=0)113.827851566416Range46.38Trim Var.78.647055372549
V(Y[t],d=0,D=1)349.944032934397Range99.51Trim Var.165.307647851336
V(Y[t],d=1,D=1)90.6662898242368Range46.15Trim Var.33.4565001219512
V(Y[t],d=2,D=1)76.1130666666667Range35.29Trim Var.46.2579635256411
V(Y[t],d=3,D=1)214.349335858586Range58.67Trim Var.135.457318353576
V(Y[t],d=0,D=2)892.379521587301Range132.12Trim Var.585.767286995968
V(Y[t],d=1,D=2)226.851142857143Range67.53Trim Var.107.619831612903
V(Y[t],d=2,D=2)216.691112032086Range58.67Trim Var.149.311418505747
V(Y[t],d=3,D=2)635.543714204546Range104Trim Var.424.485405172414

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 620.807483474576 & Range & 106.22 & Trim Var. & 376.079337421384 \tabularnewline
V(Y[t],d=1,D=0) & 50.8375968439509 & Range & 40.09 & Trim Var. & 19.9237965166909 \tabularnewline
V(Y[t],d=2,D=0) & 42.0225373260738 & Range & 33.62 & Trim Var. & 26.0724544117647 \tabularnewline
V(Y[t],d=3,D=0) & 113.827851566416 & Range & 46.38 & Trim Var. & 78.647055372549 \tabularnewline
V(Y[t],d=0,D=1) & 349.944032934397 & Range & 99.51 & Trim Var. & 165.307647851336 \tabularnewline
V(Y[t],d=1,D=1) & 90.6662898242368 & Range & 46.15 & Trim Var. & 33.4565001219512 \tabularnewline
V(Y[t],d=2,D=1) & 76.1130666666667 & Range & 35.29 & Trim Var. & 46.2579635256411 \tabularnewline
V(Y[t],d=3,D=1) & 214.349335858586 & Range & 58.67 & Trim Var. & 135.457318353576 \tabularnewline
V(Y[t],d=0,D=2) & 892.379521587301 & Range & 132.12 & Trim Var. & 585.767286995968 \tabularnewline
V(Y[t],d=1,D=2) & 226.851142857143 & Range & 67.53 & Trim Var. & 107.619831612903 \tabularnewline
V(Y[t],d=2,D=2) & 216.691112032086 & Range & 58.67 & Trim Var. & 149.311418505747 \tabularnewline
V(Y[t],d=3,D=2) & 635.543714204546 & Range & 104 & Trim Var. & 424.485405172414 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35129&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]620.807483474576[/C][C]Range[/C][C]106.22[/C][C]Trim Var.[/C][C]376.079337421384[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]50.8375968439509[/C][C]Range[/C][C]40.09[/C][C]Trim Var.[/C][C]19.9237965166909[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]42.0225373260738[/C][C]Range[/C][C]33.62[/C][C]Trim Var.[/C][C]26.0724544117647[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]113.827851566416[/C][C]Range[/C][C]46.38[/C][C]Trim Var.[/C][C]78.647055372549[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]349.944032934397[/C][C]Range[/C][C]99.51[/C][C]Trim Var.[/C][C]165.307647851336[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]90.6662898242368[/C][C]Range[/C][C]46.15[/C][C]Trim Var.[/C][C]33.4565001219512[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]76.1130666666667[/C][C]Range[/C][C]35.29[/C][C]Trim Var.[/C][C]46.2579635256411[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]214.349335858586[/C][C]Range[/C][C]58.67[/C][C]Trim Var.[/C][C]135.457318353576[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]892.379521587301[/C][C]Range[/C][C]132.12[/C][C]Trim Var.[/C][C]585.767286995968[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]226.851142857143[/C][C]Range[/C][C]67.53[/C][C]Trim Var.[/C][C]107.619831612903[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]216.691112032086[/C][C]Range[/C][C]58.67[/C][C]Trim Var.[/C][C]149.311418505747[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]635.543714204546[/C][C]Range[/C][C]104[/C][C]Trim Var.[/C][C]424.485405172414[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35129&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35129&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)620.807483474576Range106.22Trim Var.376.079337421384
V(Y[t],d=1,D=0)50.8375968439509Range40.09Trim Var.19.9237965166909
V(Y[t],d=2,D=0)42.0225373260738Range33.62Trim Var.26.0724544117647
V(Y[t],d=3,D=0)113.827851566416Range46.38Trim Var.78.647055372549
V(Y[t],d=0,D=1)349.944032934397Range99.51Trim Var.165.307647851336
V(Y[t],d=1,D=1)90.6662898242368Range46.15Trim Var.33.4565001219512
V(Y[t],d=2,D=1)76.1130666666667Range35.29Trim Var.46.2579635256411
V(Y[t],d=3,D=1)214.349335858586Range58.67Trim Var.135.457318353576
V(Y[t],d=0,D=2)892.379521587301Range132.12Trim Var.585.767286995968
V(Y[t],d=1,D=2)226.851142857143Range67.53Trim Var.107.619831612903
V(Y[t],d=2,D=2)216.691112032086Range58.67Trim Var.149.311418505747
V(Y[t],d=3,D=2)635.543714204546Range104Trim Var.424.485405172414



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')