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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 computationSat, 23 Jan 2010 12:16:14 -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/2010/Jan/23/t1264274213tdq78kf3hwczzz9.htm/, Retrieved Sun, 05 May 2024 03:13:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72382, Retrieved Sun, 05 May 2024 03:13:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [VAC variance redu...] [2008-12-14 12:47:34] [379d6c32f73e3218fd773d79e4063d07]
-  M      [Variance Reduction Matrix] [Variance Reductio...] [2010-01-23 19:16:14] [f32a893c5a60da9308cd5d37e6977c4f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
188.5
188.6
191.9
193.5
194.9
194.9
196.2
196.2
198
198.6
201.3
203.5
204.1
204.8
206.5
207.8
208.6
209.7
210
211.7
212.4
213.7
214.8
216.4
217.5
218.6
220.4
221.8
222.5
223.4
225.5
226.5
227.8
228.5
229.1
229.9
230.8
231.9
236
237.5

Tables (Output of Computation)





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=72382&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=72382&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72382&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Variance Reduction Matrix
V(Y[t],d=0,D=0)197.031224358974Range49Trim Var.153.127642857143
V(Y[t],d=1,D=0)0.68620782726046Range4.09999999999999Trim Var.0.308689075630253
V(Y[t],d=2,D=0)1.52725462304410Range5.80000000000001Trim Var.0.838262032085558
V(Y[t],d=3,D=0)4.23863363363363Range8.90000000000003Trim Var.2.42320075757574
V(Y[t],d=0,D=1)1.44650000000001Range4.90000000000001Trim Var.0.932328629032263
V(Y[t],d=1,D=1)1.08996638655462Range5.50000000000003Trim Var.0.447462365591399
V(Y[t],d=2,D=1)1.78730837789661Range6.5Trim Var.0.892057471264363
V(Y[t],d=3,D=1)4.77267045454543Range10.6000000000001Trim Var.2.32935960591132
V(Y[t],d=0,D=2)3.86500000000002Range7.90000000000003Trim Var.2.26332010582012
V(Y[t],d=1,D=2)2.82318279569893Range8.09999999999997Trim Var.1.19410256410257
V(Y[t],d=2,D=2)4.67098850574711Range9.89999999999998Trim Var.1.99421538461537
V(Y[t],d=3,D=2)12.2101970443348Range15.0000000000001Trim Var.6.9830999999999

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 197.031224358974 & Range & 49 & Trim Var. & 153.127642857143 \tabularnewline
V(Y[t],d=1,D=0) & 0.68620782726046 & Range & 4.09999999999999 & Trim Var. & 0.308689075630253 \tabularnewline
V(Y[t],d=2,D=0) & 1.52725462304410 & Range & 5.80000000000001 & Trim Var. & 0.838262032085558 \tabularnewline
V(Y[t],d=3,D=0) & 4.23863363363363 & Range & 8.90000000000003 & Trim Var. & 2.42320075757574 \tabularnewline
V(Y[t],d=0,D=1) & 1.44650000000001 & Range & 4.90000000000001 & Trim Var. & 0.932328629032263 \tabularnewline
V(Y[t],d=1,D=1) & 1.08996638655462 & Range & 5.50000000000003 & Trim Var. & 0.447462365591399 \tabularnewline
V(Y[t],d=2,D=1) & 1.78730837789661 & Range & 6.5 & Trim Var. & 0.892057471264363 \tabularnewline
V(Y[t],d=3,D=1) & 4.77267045454543 & Range & 10.6000000000001 & Trim Var. & 2.32935960591132 \tabularnewline
V(Y[t],d=0,D=2) & 3.86500000000002 & Range & 7.90000000000003 & Trim Var. & 2.26332010582012 \tabularnewline
V(Y[t],d=1,D=2) & 2.82318279569893 & Range & 8.09999999999997 & Trim Var. & 1.19410256410257 \tabularnewline
V(Y[t],d=2,D=2) & 4.67098850574711 & Range & 9.89999999999998 & Trim Var. & 1.99421538461537 \tabularnewline
V(Y[t],d=3,D=2) & 12.2101970443348 & Range & 15.0000000000001 & Trim Var. & 6.9830999999999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72382&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]197.031224358974[/C][C]Range[/C][C]49[/C][C]Trim Var.[/C][C]153.127642857143[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.68620782726046[/C][C]Range[/C][C]4.09999999999999[/C][C]Trim Var.[/C][C]0.308689075630253[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]1.52725462304410[/C][C]Range[/C][C]5.80000000000001[/C][C]Trim Var.[/C][C]0.838262032085558[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]4.23863363363363[/C][C]Range[/C][C]8.90000000000003[/C][C]Trim Var.[/C][C]2.42320075757574[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1.44650000000001[/C][C]Range[/C][C]4.90000000000001[/C][C]Trim Var.[/C][C]0.932328629032263[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]1.08996638655462[/C][C]Range[/C][C]5.50000000000003[/C][C]Trim Var.[/C][C]0.447462365591399[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]1.78730837789661[/C][C]Range[/C][C]6.5[/C][C]Trim Var.[/C][C]0.892057471264363[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]4.77267045454543[/C][C]Range[/C][C]10.6000000000001[/C][C]Trim Var.[/C][C]2.32935960591132[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]3.86500000000002[/C][C]Range[/C][C]7.90000000000003[/C][C]Trim Var.[/C][C]2.26332010582012[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]2.82318279569893[/C][C]Range[/C][C]8.09999999999997[/C][C]Trim Var.[/C][C]1.19410256410257[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]4.67098850574711[/C][C]Range[/C][C]9.89999999999998[/C][C]Trim Var.[/C][C]1.99421538461537[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]12.2101970443348[/C][C]Range[/C][C]15.0000000000001[/C][C]Trim Var.[/C][C]6.9830999999999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72382&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72382&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)197.031224358974Range49Trim Var.153.127642857143
V(Y[t],d=1,D=0)0.68620782726046Range4.09999999999999Trim Var.0.308689075630253
V(Y[t],d=2,D=0)1.52725462304410Range5.80000000000001Trim Var.0.838262032085558
V(Y[t],d=3,D=0)4.23863363363363Range8.90000000000003Trim Var.2.42320075757574
V(Y[t],d=0,D=1)1.44650000000001Range4.90000000000001Trim Var.0.932328629032263
V(Y[t],d=1,D=1)1.08996638655462Range5.50000000000003Trim Var.0.447462365591399
V(Y[t],d=2,D=1)1.78730837789661Range6.5Trim Var.0.892057471264363
V(Y[t],d=3,D=1)4.77267045454543Range10.6000000000001Trim Var.2.32935960591132
V(Y[t],d=0,D=2)3.86500000000002Range7.90000000000003Trim Var.2.26332010582012
V(Y[t],d=1,D=2)2.82318279569893Range8.09999999999997Trim Var.1.19410256410257
V(Y[t],d=2,D=2)4.67098850574711Range9.89999999999998Trim Var.1.99421538461537
V(Y[t],d=3,D=2)12.2101970443348Range15.0000000000001Trim Var.6.9830999999999


Figures (Output of Computation)

Input Parameters & R Code

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(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')