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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 computationFri, 24 Dec 2010 13:10:04 +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/24/t1293196116dx0x9khpiqgdws8.htm/, Retrieved Tue, 30 Apr 2024 03:15:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114898, Retrieved Tue, 30 Apr 2024 03:15:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [LKI VRM] [2010-12-24 13:10:04] [b6992a7b26e556359948e164e4227eba] [Current]
-         [Variance Reduction Matrix] [Variantie reductie] [2011-01-25 15:55:57] [49685effa955daf04c1708d99b86c41a]
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Dataseries X:
81.71
87.703
90.09
100.639
83.042
89.956
89.561
105.38
86.554
93.131
92.812
102.195
88.925
94.184
94.196
108.932
91.134
97.149
96.415
112.432
92.47
98.61410515
97.80117197
111.8560178
95.63981455
104.1120262
104.0148224
118.1743476
102.033431
109.3138852
108.1523649
121.30381
103.8725146
112.7185207
109.0381253
122.4434864
106.6325686
113.8153852
111.1071252
130.039536
109.6121057
116.8592117
113.8982545
128.9375926
111.8120023
119.9689463
117.018539
132.4743387
116.3369106
124.6405636
121.025249
137.2054829
120.0187687
127.0443429
124.349043
143.6114438




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114898&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]2 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=114898&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114898&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)209.903997113983Range61.9014438Trim Var.143.428545714502
V(Y[t],d=1,D=0)143.472077668744Range39.6898311Trim Var.115.933284041060
V(Y[t],d=2,D=0)489.135976264140Range67.0343774Trim Var.419.292107904417
V(Y[t],d=3,D=0)1817.08242995238Range128.0348893Trim Var.1591.7106450319
V(Y[t],d=0,D=1)4.31481351785972Range10.7810496Trim Var.2.3444520054349
V(Y[t],d=1,D=1)6.13101403027443Range11.992Trim Var.3.03070384786312
V(Y[t],d=2,D=1)17.5669602615228Range22.1355622Trim Var.8.2002718238197
V(Y[t],d=3,D=1)58.4965434684523Range37.3700000000000Trim Var.29.0841806042054
V(Y[t],d=0,D=2)11.6789372222328Range18.6199930000000Trim Var.4.93978498099896
V(Y[t],d=1,D=2)18.5958967705371Range23.495Trim Var.6.99526511546405
V(Y[t],d=2,D=2)54.4096331047675Range40.364Trim Var.21.4108333599457
V(Y[t],d=3,D=2)184.157107683282Range67.438Trim Var.73.5645855076984

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 209.903997113983 & Range & 61.9014438 & Trim Var. & 143.428545714502 \tabularnewline
V(Y[t],d=1,D=0) & 143.472077668744 & Range & 39.6898311 & Trim Var. & 115.933284041060 \tabularnewline
V(Y[t],d=2,D=0) & 489.135976264140 & Range & 67.0343774 & Trim Var. & 419.292107904417 \tabularnewline
V(Y[t],d=3,D=0) & 1817.08242995238 & Range & 128.0348893 & Trim Var. & 1591.7106450319 \tabularnewline
V(Y[t],d=0,D=1) & 4.31481351785972 & Range & 10.7810496 & Trim Var. & 2.3444520054349 \tabularnewline
V(Y[t],d=1,D=1) & 6.13101403027443 & Range & 11.992 & Trim Var. & 3.03070384786312 \tabularnewline
V(Y[t],d=2,D=1) & 17.5669602615228 & Range & 22.1355622 & Trim Var. & 8.2002718238197 \tabularnewline
V(Y[t],d=3,D=1) & 58.4965434684523 & Range & 37.3700000000000 & Trim Var. & 29.0841806042054 \tabularnewline
V(Y[t],d=0,D=2) & 11.6789372222328 & Range & 18.6199930000000 & Trim Var. & 4.93978498099896 \tabularnewline
V(Y[t],d=1,D=2) & 18.5958967705371 & Range & 23.495 & Trim Var. & 6.99526511546405 \tabularnewline
V(Y[t],d=2,D=2) & 54.4096331047675 & Range & 40.364 & Trim Var. & 21.4108333599457 \tabularnewline
V(Y[t],d=3,D=2) & 184.157107683282 & Range & 67.438 & Trim Var. & 73.5645855076984 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114898&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]209.903997113983[/C][C]Range[/C][C]61.9014438[/C][C]Trim Var.[/C][C]143.428545714502[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]143.472077668744[/C][C]Range[/C][C]39.6898311[/C][C]Trim Var.[/C][C]115.933284041060[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]489.135976264140[/C][C]Range[/C][C]67.0343774[/C][C]Trim Var.[/C][C]419.292107904417[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1817.08242995238[/C][C]Range[/C][C]128.0348893[/C][C]Trim Var.[/C][C]1591.7106450319[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]4.31481351785972[/C][C]Range[/C][C]10.7810496[/C][C]Trim Var.[/C][C]2.3444520054349[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]6.13101403027443[/C][C]Range[/C][C]11.992[/C][C]Trim Var.[/C][C]3.03070384786312[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]17.5669602615228[/C][C]Range[/C][C]22.1355622[/C][C]Trim Var.[/C][C]8.2002718238197[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]58.4965434684523[/C][C]Range[/C][C]37.3700000000000[/C][C]Trim Var.[/C][C]29.0841806042054[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]11.6789372222328[/C][C]Range[/C][C]18.6199930000000[/C][C]Trim Var.[/C][C]4.93978498099896[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]18.5958967705371[/C][C]Range[/C][C]23.495[/C][C]Trim Var.[/C][C]6.99526511546405[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]54.4096331047675[/C][C]Range[/C][C]40.364[/C][C]Trim Var.[/C][C]21.4108333599457[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]184.157107683282[/C][C]Range[/C][C]67.438[/C][C]Trim Var.[/C][C]73.5645855076984[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114898&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114898&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)209.903997113983Range61.9014438Trim Var.143.428545714502
V(Y[t],d=1,D=0)143.472077668744Range39.6898311Trim Var.115.933284041060
V(Y[t],d=2,D=0)489.135976264140Range67.0343774Trim Var.419.292107904417
V(Y[t],d=3,D=0)1817.08242995238Range128.0348893Trim Var.1591.7106450319
V(Y[t],d=0,D=1)4.31481351785972Range10.7810496Trim Var.2.3444520054349
V(Y[t],d=1,D=1)6.13101403027443Range11.992Trim Var.3.03070384786312
V(Y[t],d=2,D=1)17.5669602615228Range22.1355622Trim Var.8.2002718238197
V(Y[t],d=3,D=1)58.4965434684523Range37.3700000000000Trim Var.29.0841806042054
V(Y[t],d=0,D=2)11.6789372222328Range18.6199930000000Trim Var.4.93978498099896
V(Y[t],d=1,D=2)18.5958967705371Range23.495Trim Var.6.99526511546405
V(Y[t],d=2,D=2)54.4096331047675Range40.364Trim Var.21.4108333599457
V(Y[t],d=3,D=2)184.157107683282Range67.438Trim Var.73.5645855076984



Parameters (Session):
par1 = 4 ;
Parameters (R input):
par1 = 4 ;
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(myx,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')
bitmap(file='pic0.png')
op <- par(mfrow=c(2,2))
plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0')
plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0')
plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1')
plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1')
par(op)
dev.off()