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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, 27 Nov 2009 08:39:14 -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/Nov/27/t1259336401s8a2h2osi21hlg9.htm/, Retrieved Sat, 20 Jul 2024 13:57:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60908, Retrieved Sat, 20 Jul 2024 13:57:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Variance Reduction Matrix] [Identifying Integ...] [2009-11-22 12:29:54] [b98453cac15ba1066b407e146608df68]
F    D        [Variance Reduction Matrix] [ws 8] [2009-11-24 20:46:29] [b5908418e3090fddbd22f5f0f774653d]
-    D            [Variance Reduction Matrix] [WS8 VRM] [2009-11-27 15:39:14] [557d56ec4b06cd0135c259898de8ce95] [Current]
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Dataseries X:
10284,5
12792
12823,61538
13845,66667
15335,63636
11188,5
13633,25
12298,46667
15353,63636
12696,15385
12213,93333
13683,72727
11214,14286
13950,23077
11179,13333
11801,875
11188,82353
16456,27273
11110,0625
16530,69231
10038,41176
11681,25
11148,88235
8631
9386,444444
9764,736842
12043,75
12948,06667
10987,125
11648,3125
10633,35294
10219,3
9037,6
10296,31579
11705,41176
10681,94444
9362,947368
11306,35294
10984,45
10062,61905
8118,583333
8867,48
8346,72
8529,307692
10697,18182
8591,84
8695,607143
8125,571429
7009,758621
7883,466667
7527,645161
6763,758621
6682,333333
7855,681818
6738,88
7895,434783
6361,884615
6935,956522
8344,454545
9107,944444




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60908&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]0 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=60908&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60908&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)6119008.24916724Range10168.807695Trim Var.4141825.80254295
V(Y[t],d=1,D=0)4538402.34802594Range11912.91036Trim Var.2092993.15491735
V(Y[t],d=2,D=0)15010511.3420054Range22679.7504Trim Var.6722994.92451039
V(Y[t],d=3,D=0)55178816.7467945Range44060.24987Trim Var.23604151.1850991
V(Y[t],d=0,D=1)5534087.41739915Range11579.16504Trim Var.2902157.90062864
V(Y[t],d=1,D=1)12112485.6209647Range18962.0358Trim Var.5218285.60296149
V(Y[t],d=2,D=1)41175470.7206387Range31751.91916Trim Var.16696334.2475767
V(Y[t],d=3,D=1)153774379.440024Range62601.15591Trim Var.59294105.8284014
V(Y[t],d=0,D=2)16702827.5300939Range17647.28966Trim Var.9414069.2926811
V(Y[t],d=1,D=2)34680739.8769287Range28878.87805Trim Var.15211362.5275116
V(Y[t],d=2,D=2)115721656.372581Range52160.43347Trim Var.47881172.63468
V(Y[t],d=3,D=2)427947588.836521Range103015.79842Trim Var.160980631.614422

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 6119008.24916724 & Range & 10168.807695 & Trim Var. & 4141825.80254295 \tabularnewline
V(Y[t],d=1,D=0) & 4538402.34802594 & Range & 11912.91036 & Trim Var. & 2092993.15491735 \tabularnewline
V(Y[t],d=2,D=0) & 15010511.3420054 & Range & 22679.7504 & Trim Var. & 6722994.92451039 \tabularnewline
V(Y[t],d=3,D=0) & 55178816.7467945 & Range & 44060.24987 & Trim Var. & 23604151.1850991 \tabularnewline
V(Y[t],d=0,D=1) & 5534087.41739915 & Range & 11579.16504 & Trim Var. & 2902157.90062864 \tabularnewline
V(Y[t],d=1,D=1) & 12112485.6209647 & Range & 18962.0358 & Trim Var. & 5218285.60296149 \tabularnewline
V(Y[t],d=2,D=1) & 41175470.7206387 & Range & 31751.91916 & Trim Var. & 16696334.2475767 \tabularnewline
V(Y[t],d=3,D=1) & 153774379.440024 & Range & 62601.15591 & Trim Var. & 59294105.8284014 \tabularnewline
V(Y[t],d=0,D=2) & 16702827.5300939 & Range & 17647.28966 & Trim Var. & 9414069.2926811 \tabularnewline
V(Y[t],d=1,D=2) & 34680739.8769287 & Range & 28878.87805 & Trim Var. & 15211362.5275116 \tabularnewline
V(Y[t],d=2,D=2) & 115721656.372581 & Range & 52160.43347 & Trim Var. & 47881172.63468 \tabularnewline
V(Y[t],d=3,D=2) & 427947588.836521 & Range & 103015.79842 & Trim Var. & 160980631.614422 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60908&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]6119008.24916724[/C][C]Range[/C][C]10168.807695[/C][C]Trim Var.[/C][C]4141825.80254295[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]4538402.34802594[/C][C]Range[/C][C]11912.91036[/C][C]Trim Var.[/C][C]2092993.15491735[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]15010511.3420054[/C][C]Range[/C][C]22679.7504[/C][C]Trim Var.[/C][C]6722994.92451039[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]55178816.7467945[/C][C]Range[/C][C]44060.24987[/C][C]Trim Var.[/C][C]23604151.1850991[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]5534087.41739915[/C][C]Range[/C][C]11579.16504[/C][C]Trim Var.[/C][C]2902157.90062864[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]12112485.6209647[/C][C]Range[/C][C]18962.0358[/C][C]Trim Var.[/C][C]5218285.60296149[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]41175470.7206387[/C][C]Range[/C][C]31751.91916[/C][C]Trim Var.[/C][C]16696334.2475767[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]153774379.440024[/C][C]Range[/C][C]62601.15591[/C][C]Trim Var.[/C][C]59294105.8284014[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]16702827.5300939[/C][C]Range[/C][C]17647.28966[/C][C]Trim Var.[/C][C]9414069.2926811[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]34680739.8769287[/C][C]Range[/C][C]28878.87805[/C][C]Trim Var.[/C][C]15211362.5275116[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]115721656.372581[/C][C]Range[/C][C]52160.43347[/C][C]Trim Var.[/C][C]47881172.63468[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]427947588.836521[/C][C]Range[/C][C]103015.79842[/C][C]Trim Var.[/C][C]160980631.614422[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60908&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60908&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)6119008.24916724Range10168.807695Trim Var.4141825.80254295
V(Y[t],d=1,D=0)4538402.34802594Range11912.91036Trim Var.2092993.15491735
V(Y[t],d=2,D=0)15010511.3420054Range22679.7504Trim Var.6722994.92451039
V(Y[t],d=3,D=0)55178816.7467945Range44060.24987Trim Var.23604151.1850991
V(Y[t],d=0,D=1)5534087.41739915Range11579.16504Trim Var.2902157.90062864
V(Y[t],d=1,D=1)12112485.6209647Range18962.0358Trim Var.5218285.60296149
V(Y[t],d=2,D=1)41175470.7206387Range31751.91916Trim Var.16696334.2475767
V(Y[t],d=3,D=1)153774379.440024Range62601.15591Trim Var.59294105.8284014
V(Y[t],d=0,D=2)16702827.5300939Range17647.28966Trim Var.9414069.2926811
V(Y[t],d=1,D=2)34680739.8769287Range28878.87805Trim Var.15211362.5275116
V(Y[t],d=2,D=2)115721656.372581Range52160.43347Trim Var.47881172.63468
V(Y[t],d=3,D=2)427947588.836521Range103015.79842Trim Var.160980631.614422



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')