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Description of Statistical Computation

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, 19 Dec 2008 06:18:18 -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/t1229692939e1s2tldxlpnge9w.htm/, Retrieved Wed, 15 May 2024 03:28:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35112, Retrieved Wed, 15 May 2024 03:28:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
- RMPD  [Spectral Analysis] [Spectrum suiker m...] [2008-12-09 16:30:42] [f77c9ab3b413812d7baee6b7ec69a15d]
- RMPD      [Variance Reduction Matrix] [VRM Chocopasta] [2008-12-19 13:18:18] [d300b7a0882cee7d84584ad37a3d4ede] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.73
101.63
101.43
101.34
101.01
100.89
100.93
100.77
100.3
99.86
99.71
99.93
99.88
99.92
99.87
99.63
100.05
99.88
100.11
100.05
100.07
100.2
100.21
99.76
99.41
99.24
99.65
99.7
99.79
99.84
101
101.62
101.98
101.46
102.28
102.14
102.02
102.21
101.61
102.38
102.19
102.04
101.76
101.9
102.01
102.37
103.04
103.42
103.76
104.41
104.75
104.28
103.89
104.09
103.8
105.03
105.86
106.04
106.03
106.13
107.21
107.66
108.08
108.76
108.26
108.71
108.65
108.61
108.86
109.54
108.22
108.77
109.9
110.13
109.6
110.42
110.6
109.73
110.72
111.08
111.14
111.01
110.56
111.57

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35112&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35112&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35112&T=0

As an alternative you can also use a QR Code:  
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'George Udny Yule' @ 72.249.76.132






Variance Reduction Matrix
V(Y[t],d=0,D=0)15.5147756741251Range12.33Trim Var.12.7436261569789
V(Y[t],d=1,D=0)0.231444225683221Range2.55000000000001Trim Var.0.132227473363775
V(Y[t],d=2,D=0)0.479628078891902Range3.87000000000002Trim Var.0.242845931142412
V(Y[t],d=3,D=0)1.39038694444445Range6.36Trim Var.0.67000845070423
V(Y[t],d=0,D=1)2.70360749217527Range6.70000000000002Trim Var.1.78417142857143
V(Y[t],d=1,D=1)0.391973682092556Range2.59000000000000Trim Var.0.251199539170508
V(Y[t],d=2,D=1)0.860546915113872Range4.54999999999995Trim Var.0.501143019566371
V(Y[t],d=3,D=1)2.62244475703325Range7.38999999999987Trim Var.1.57200524590166
V(Y[t],d=0,D=2)3.1549765819209Range7.41999999999997Trim Var.2.25560111809923
V(Y[t],d=1,D=2)1.13938918760959Range4.75999999999999Trim Var.0.707574963715532
V(Y[t],d=2,D=2)2.42911518451301Range7.4Trim Var.1.60309573906486
V(Y[t],d=3,D=2)7.24785344611531Range11.71Trim Var.4.50086901960788

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 15.5147756741251 & Range & 12.33 & Trim Var. & 12.7436261569789 \tabularnewline
V(Y[t],d=1,D=0) & 0.231444225683221 & Range & 2.55000000000001 & Trim Var. & 0.132227473363775 \tabularnewline
V(Y[t],d=2,D=0) & 0.479628078891902 & Range & 3.87000000000002 & Trim Var. & 0.242845931142412 \tabularnewline
V(Y[t],d=3,D=0) & 1.39038694444445 & Range & 6.36 & Trim Var. & 0.67000845070423 \tabularnewline
V(Y[t],d=0,D=1) & 2.70360749217527 & Range & 6.70000000000002 & Trim Var. & 1.78417142857143 \tabularnewline
V(Y[t],d=1,D=1) & 0.391973682092556 & Range & 2.59000000000000 & Trim Var. & 0.251199539170508 \tabularnewline
V(Y[t],d=2,D=1) & 0.860546915113872 & Range & 4.54999999999995 & Trim Var. & 0.501143019566371 \tabularnewline
V(Y[t],d=3,D=1) & 2.62244475703325 & Range & 7.38999999999987 & Trim Var. & 1.57200524590166 \tabularnewline
V(Y[t],d=0,D=2) & 3.1549765819209 & Range & 7.41999999999997 & Trim Var. & 2.25560111809923 \tabularnewline
V(Y[t],d=1,D=2) & 1.13938918760959 & Range & 4.75999999999999 & Trim Var. & 0.707574963715532 \tabularnewline
V(Y[t],d=2,D=2) & 2.42911518451301 & Range & 7.4 & Trim Var. & 1.60309573906486 \tabularnewline
V(Y[t],d=3,D=2) & 7.24785344611531 & Range & 11.71 & Trim Var. & 4.50086901960788 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35112&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]15.5147756741251[/C][C]Range[/C][C]12.33[/C][C]Trim Var.[/C][C]12.7436261569789[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.231444225683221[/C][C]Range[/C][C]2.55000000000001[/C][C]Trim Var.[/C][C]0.132227473363775[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.479628078891902[/C][C]Range[/C][C]3.87000000000002[/C][C]Trim Var.[/C][C]0.242845931142412[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1.39038694444445[/C][C]Range[/C][C]6.36[/C][C]Trim Var.[/C][C]0.67000845070423[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]2.70360749217527[/C][C]Range[/C][C]6.70000000000002[/C][C]Trim Var.[/C][C]1.78417142857143[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.391973682092556[/C][C]Range[/C][C]2.59000000000000[/C][C]Trim Var.[/C][C]0.251199539170508[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.860546915113872[/C][C]Range[/C][C]4.54999999999995[/C][C]Trim Var.[/C][C]0.501143019566371[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]2.62244475703325[/C][C]Range[/C][C]7.38999999999987[/C][C]Trim Var.[/C][C]1.57200524590166[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]3.1549765819209[/C][C]Range[/C][C]7.41999999999997[/C][C]Trim Var.[/C][C]2.25560111809923[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]1.13938918760959[/C][C]Range[/C][C]4.75999999999999[/C][C]Trim Var.[/C][C]0.707574963715532[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]2.42911518451301[/C][C]Range[/C][C]7.4[/C][C]Trim Var.[/C][C]1.60309573906486[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]7.24785344611531[/C][C]Range[/C][C]11.71[/C][C]Trim Var.[/C][C]4.50086901960788[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35112&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35112&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Variance Reduction Matrix
V(Y[t],d=0,D=0)15.5147756741251Range12.33Trim Var.12.7436261569789
V(Y[t],d=1,D=0)0.231444225683221Range2.55000000000001Trim Var.0.132227473363775
V(Y[t],d=2,D=0)0.479628078891902Range3.87000000000002Trim Var.0.242845931142412
V(Y[t],d=3,D=0)1.39038694444445Range6.36Trim Var.0.67000845070423
V(Y[t],d=0,D=1)2.70360749217527Range6.70000000000002Trim Var.1.78417142857143
V(Y[t],d=1,D=1)0.391973682092556Range2.59000000000000Trim Var.0.251199539170508
V(Y[t],d=2,D=1)0.860546915113872Range4.54999999999995Trim Var.0.501143019566371
V(Y[t],d=3,D=1)2.62244475703325Range7.38999999999987Trim Var.1.57200524590166
V(Y[t],d=0,D=2)3.1549765819209Range7.41999999999997Trim Var.2.25560111809923
V(Y[t],d=1,D=2)1.13938918760959Range4.75999999999999Trim Var.0.707574963715532
V(Y[t],d=2,D=2)2.42911518451301Range7.4Trim Var.1.60309573906486
V(Y[t],d=3,D=2)7.24785344611531Range11.71Trim Var.4.50086901960788


Figures (Output of Computation)

Input Parameters & R Code

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')