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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 03:13:44 -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/t1259316859r04aeal7ksrqvvt.htm/, Retrieved Sun, 28 Apr 2024 19:31:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60531, Retrieved Sun, 28 Apr 2024 19:31:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193
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]
-    D          [Variance Reduction Matrix] [workshop 8 bereke...] [2009-11-27 10:13:44] [78d370e6d5f4594e9982a5085e7604c6] [Current]
-    D            [Variance Reduction Matrix] [workshop 8 variantie] [2009-11-27 14:55:21] [af8eb90b4bf1bcfcc4325c143dbee260]
-                 [Variance Reduction Matrix] [] [2009-12-12 16:54:38] [74be16979710d4c4e7c6647856088456]
-    D            [Variance Reduction Matrix] [paper VRM] [2009-12-13 09:33:03] [eaf42bcf5162b5692bb3c7f9d4636222]
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Dataseries X:
4716.99
4926.65
4920.10
5170.09
5246.24
5283.61
4979.05
4825.20
4695.12
4711.54
4727.22
4384.96
4378.75
4472.93
4564.07
4310.54
4171.38
4049.38
3591.37
3720.46
4107.23
4101.71
4162.34
4136.22
4125.88
4031.48
3761.36
3408.56
3228.47
3090.45
2741.14
2980.44
3104.33
3181.57
2863.86
2898.01
3112.33
3254.33
3513.47
3587.61
3727.45
3793.34
3817.58
3845.13
3931.86
4197.52
4307.13
4229.43
4362.28
4217.34
4361.28
4327.74
4417.65
4557.68
4650.35
4967.18
5123.42
5290.85
5535.66
5514.06
5493.88
5694.83
5850.41
6116.64
6175.00
6513.58
6383.78
6673.66
6936.61
7300.68
7392.93
7497.31
7584.71
7160.79
7196.19
7245.63
7347.51
7425.75
7778.51
7822.33
8181.22
8371.47
8347.71
8672.11
8802.79
9138.46
9123.29
9023.21
8850.41
8864.58
9163.74
8516.66
8553.44
7555.20
7851.22
7442.00
7992.53
8264.04
7517.39
7200.40
7193.69
6193.58
5104.21
4800.46
4461.61
4398.59
4243.63
4293.82




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=60531&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=60531&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60531&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)3406427.68025303Range6422.6Trim Var.2635926.14334719
V(Y[t],d=1,D=0)80765.0002516311Range1639.9Trim Var.33946.140023785
V(Y[t],d=2,D=0)127096.505811581Range2329.28Trim Var.45418.8114997597
V(Y[t],d=3,D=0)396390.867767161Range4328.78000000000Trim Var.153306.016701426
V(Y[t],d=0,D=1)2251164.67099118Range6182.66Trim Var.1412682.20122834
V(Y[t],d=1,D=1)132913.515920538Range2323.75Trim Var.58231.8652629692
V(Y[t],d=2,D=1)264259.487682601Range3118.06Trim Var.115539.415219048
V(Y[t],d=3,D=1)855875.395777794Range5071.7Trim Var.358950.121328004
V(Y[t],d=0,D=2)2669922.70269977Range8186.51Trim Var.1371360.20149263
V(Y[t],d=1,D=2)308635.903670849Range3458.64Trim Var.137757.157781963
V(Y[t],d=2,D=2)656033.100302093Range5263.63Trim Var.271229.38104552
V(Y[t],d=3,D=2)2148761.39791179Range9929.96Trim Var.835767.545676376

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 3406427.68025303 & Range & 6422.6 & Trim Var. & 2635926.14334719 \tabularnewline
V(Y[t],d=1,D=0) & 80765.0002516311 & Range & 1639.9 & Trim Var. & 33946.140023785 \tabularnewline
V(Y[t],d=2,D=0) & 127096.505811581 & Range & 2329.28 & Trim Var. & 45418.8114997597 \tabularnewline
V(Y[t],d=3,D=0) & 396390.867767161 & Range & 4328.78000000000 & Trim Var. & 153306.016701426 \tabularnewline
V(Y[t],d=0,D=1) & 2251164.67099118 & Range & 6182.66 & Trim Var. & 1412682.20122834 \tabularnewline
V(Y[t],d=1,D=1) & 132913.515920538 & Range & 2323.75 & Trim Var. & 58231.8652629692 \tabularnewline
V(Y[t],d=2,D=1) & 264259.487682601 & Range & 3118.06 & Trim Var. & 115539.415219048 \tabularnewline
V(Y[t],d=3,D=1) & 855875.395777794 & Range & 5071.7 & Trim Var. & 358950.121328004 \tabularnewline
V(Y[t],d=0,D=2) & 2669922.70269977 & Range & 8186.51 & Trim Var. & 1371360.20149263 \tabularnewline
V(Y[t],d=1,D=2) & 308635.903670849 & Range & 3458.64 & Trim Var. & 137757.157781963 \tabularnewline
V(Y[t],d=2,D=2) & 656033.100302093 & Range & 5263.63 & Trim Var. & 271229.38104552 \tabularnewline
V(Y[t],d=3,D=2) & 2148761.39791179 & Range & 9929.96 & Trim Var. & 835767.545676376 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60531&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]3406427.68025303[/C][C]Range[/C][C]6422.6[/C][C]Trim Var.[/C][C]2635926.14334719[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]80765.0002516311[/C][C]Range[/C][C]1639.9[/C][C]Trim Var.[/C][C]33946.140023785[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]127096.505811581[/C][C]Range[/C][C]2329.28[/C][C]Trim Var.[/C][C]45418.8114997597[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]396390.867767161[/C][C]Range[/C][C]4328.78000000000[/C][C]Trim Var.[/C][C]153306.016701426[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]2251164.67099118[/C][C]Range[/C][C]6182.66[/C][C]Trim Var.[/C][C]1412682.20122834[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]132913.515920538[/C][C]Range[/C][C]2323.75[/C][C]Trim Var.[/C][C]58231.8652629692[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]264259.487682601[/C][C]Range[/C][C]3118.06[/C][C]Trim Var.[/C][C]115539.415219048[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]855875.395777794[/C][C]Range[/C][C]5071.7[/C][C]Trim Var.[/C][C]358950.121328004[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]2669922.70269977[/C][C]Range[/C][C]8186.51[/C][C]Trim Var.[/C][C]1371360.20149263[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]308635.903670849[/C][C]Range[/C][C]3458.64[/C][C]Trim Var.[/C][C]137757.157781963[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]656033.100302093[/C][C]Range[/C][C]5263.63[/C][C]Trim Var.[/C][C]271229.38104552[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]2148761.39791179[/C][C]Range[/C][C]9929.96[/C][C]Trim Var.[/C][C]835767.545676376[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60531&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60531&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)3406427.68025303Range6422.6Trim Var.2635926.14334719
V(Y[t],d=1,D=0)80765.0002516311Range1639.9Trim Var.33946.140023785
V(Y[t],d=2,D=0)127096.505811581Range2329.28Trim Var.45418.8114997597
V(Y[t],d=3,D=0)396390.867767161Range4328.78000000000Trim Var.153306.016701426
V(Y[t],d=0,D=1)2251164.67099118Range6182.66Trim Var.1412682.20122834
V(Y[t],d=1,D=1)132913.515920538Range2323.75Trim Var.58231.8652629692
V(Y[t],d=2,D=1)264259.487682601Range3118.06Trim Var.115539.415219048
V(Y[t],d=3,D=1)855875.395777794Range5071.7Trim Var.358950.121328004
V(Y[t],d=0,D=2)2669922.70269977Range8186.51Trim Var.1371360.20149263
V(Y[t],d=1,D=2)308635.903670849Range3458.64Trim Var.137757.157781963
V(Y[t],d=2,D=2)656033.100302093Range5263.63Trim Var.271229.38104552
V(Y[t],d=3,D=2)2148761.39791179Range9929.96Trim Var.835767.545676376



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')