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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 computationThu, 03 Dec 2009 02:29:52 -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/03/t1259832657jz3olnay8dkr7lf.htm/, Retrieved Thu, 28 Mar 2024 21:41:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62644, Retrieved Thu, 28 Mar 2024 21:41:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBasisjaar 2000 = 100
Estimated Impact160
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]
- R  D      [Variance Reduction Matrix] [Grondstofprijsind...] [2009-12-03 09:29:52] [c483349466b1550829c7523719d2d027] [Current]
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Dataseries X:
117.1
118.7
126.5
127.5
134.6
131.8
135.9
142.7
141.7
153.4
145
137.7
148.3
152.2
169.4
168.6
161.1
174.1
179
190.6
190
181.6
174.8
180.5
196.8
193.8
197
216.3
221.4
217.9
229.7
227.4
204.2
196.6
198.8
207.5
190.7
201.6
210.5
223.5
223.8
231.2
244
234.7
250.2
265.7
287.6
283.3
295.4
312.3
333.8
347.7
383.2
407.1
413.6
362.7
321.9
239.4
191
159.7
163.4




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=62644&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=62644&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62644&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)5224.14528961749Range296.5Trim Var.2857.67643686502
V(Y[t],d=1,D=0)375.895624293785Range118Trim Var.146.486820405311
V(Y[t],d=2,D=0)303.837849210988Range92.4Trim Var.167.881015965167
V(Y[t],d=3,D=0)746.46735632184Range127.6Trim Var.470.789543740574
V(Y[t],d=0,D=1)3696.08593537415Range307.9Trim Var.1248.50095238095
V(Y[t],d=1,D=1)628.22255319149Range136.7Trim Var.213.483205574913
V(Y[t],d=2,D=1)539.575957446809Range88.7Trim Var.358.370609756098
V(Y[t],d=3,D=1)1331.48655555556Range147.9Trim Var.810.242506410257
V(Y[t],d=0,D=2)8429.58591591592Range399.3Trim Var.4825.30625
V(Y[t],d=1,D=2)1476.00025396825Range183.1Trim Var.688.650806451613
V(Y[t],d=2,D=2)1514.46852100840Range147.9Trim Var.1034.45879569892
V(Y[t],d=3,D=2)3953.97922459893Range252.6Trim Var.2695.1841954023

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 5224.14528961749 & Range & 296.5 & Trim Var. & 2857.67643686502 \tabularnewline
V(Y[t],d=1,D=0) & 375.895624293785 & Range & 118 & Trim Var. & 146.486820405311 \tabularnewline
V(Y[t],d=2,D=0) & 303.837849210988 & Range & 92.4 & Trim Var. & 167.881015965167 \tabularnewline
V(Y[t],d=3,D=0) & 746.46735632184 & Range & 127.6 & Trim Var. & 470.789543740574 \tabularnewline
V(Y[t],d=0,D=1) & 3696.08593537415 & Range & 307.9 & Trim Var. & 1248.50095238095 \tabularnewline
V(Y[t],d=1,D=1) & 628.22255319149 & Range & 136.7 & Trim Var. & 213.483205574913 \tabularnewline
V(Y[t],d=2,D=1) & 539.575957446809 & Range & 88.7 & Trim Var. & 358.370609756098 \tabularnewline
V(Y[t],d=3,D=1) & 1331.48655555556 & Range & 147.9 & Trim Var. & 810.242506410257 \tabularnewline
V(Y[t],d=0,D=2) & 8429.58591591592 & Range & 399.3 & Trim Var. & 4825.30625 \tabularnewline
V(Y[t],d=1,D=2) & 1476.00025396825 & Range & 183.1 & Trim Var. & 688.650806451613 \tabularnewline
V(Y[t],d=2,D=2) & 1514.46852100840 & Range & 147.9 & Trim Var. & 1034.45879569892 \tabularnewline
V(Y[t],d=3,D=2) & 3953.97922459893 & Range & 252.6 & Trim Var. & 2695.1841954023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62644&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]5224.14528961749[/C][C]Range[/C][C]296.5[/C][C]Trim Var.[/C][C]2857.67643686502[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]375.895624293785[/C][C]Range[/C][C]118[/C][C]Trim Var.[/C][C]146.486820405311[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]303.837849210988[/C][C]Range[/C][C]92.4[/C][C]Trim Var.[/C][C]167.881015965167[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]746.46735632184[/C][C]Range[/C][C]127.6[/C][C]Trim Var.[/C][C]470.789543740574[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]3696.08593537415[/C][C]Range[/C][C]307.9[/C][C]Trim Var.[/C][C]1248.50095238095[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]628.22255319149[/C][C]Range[/C][C]136.7[/C][C]Trim Var.[/C][C]213.483205574913[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]539.575957446809[/C][C]Range[/C][C]88.7[/C][C]Trim Var.[/C][C]358.370609756098[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1331.48655555556[/C][C]Range[/C][C]147.9[/C][C]Trim Var.[/C][C]810.242506410257[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]8429.58591591592[/C][C]Range[/C][C]399.3[/C][C]Trim Var.[/C][C]4825.30625[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]1476.00025396825[/C][C]Range[/C][C]183.1[/C][C]Trim Var.[/C][C]688.650806451613[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]1514.46852100840[/C][C]Range[/C][C]147.9[/C][C]Trim Var.[/C][C]1034.45879569892[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]3953.97922459893[/C][C]Range[/C][C]252.6[/C][C]Trim Var.[/C][C]2695.1841954023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62644&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62644&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)5224.14528961749Range296.5Trim Var.2857.67643686502
V(Y[t],d=1,D=0)375.895624293785Range118Trim Var.146.486820405311
V(Y[t],d=2,D=0)303.837849210988Range92.4Trim Var.167.881015965167
V(Y[t],d=3,D=0)746.46735632184Range127.6Trim Var.470.789543740574
V(Y[t],d=0,D=1)3696.08593537415Range307.9Trim Var.1248.50095238095
V(Y[t],d=1,D=1)628.22255319149Range136.7Trim Var.213.483205574913
V(Y[t],d=2,D=1)539.575957446809Range88.7Trim Var.358.370609756098
V(Y[t],d=3,D=1)1331.48655555556Range147.9Trim Var.810.242506410257
V(Y[t],d=0,D=2)8429.58591591592Range399.3Trim Var.4825.30625
V(Y[t],d=1,D=2)1476.00025396825Range183.1Trim Var.688.650806451613
V(Y[t],d=2,D=2)1514.46852100840Range147.9Trim Var.1034.45879569892
V(Y[t],d=3,D=2)3953.97922459893Range252.6Trim Var.2695.1841954023



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')