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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 computationSun, 14 Dec 2008 13:04:12 -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/14/t1229285104fgzjzxpoahln8tu.htm/, Retrieved Wed, 15 May 2024 12:40:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33551, Retrieved Wed, 15 May 2024 12:40:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Mean plot vervaar...] [2007-11-09 12:25:12] [74be16979710d4c4e7c6647856088456]
- R  D  [Mean Plot] [Mean plot Vlaams ...] [2008-12-13 21:24:44] [005293453b571dbccb80b45226e44173]
- RMPD    [Variance Reduction Matrix] [Variance Reductio...] [2008-12-14 16:50:50] [005293453b571dbccb80b45226e44173]
-    D      [Variance Reduction Matrix] [Variance Reductio...] [2008-12-14 17:00:55] [005293453b571dbccb80b45226e44173]
-   PD        [Variance Reduction Matrix] [variance reductio...] [2008-12-14 19:54:08] [005293453b571dbccb80b45226e44173]
-    D          [Variance Reduction Matrix] [variance reductio...] [2008-12-14 19:55:58] [005293453b571dbccb80b45226e44173]
-    D              [Variance Reduction Matrix] [variance reductio...] [2008-12-14 20:04:12] [b0654df83a8a0e1de3ceb7bf60f0d58f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945

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'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=33551&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=33551&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33551&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'Gwilym Jenkins' @ 72.249.127.135






Variance Reduction Matrix
V(Y[t],d=0,D=0)1623748631.48559Range159527Trim Var.1168837088.62753
V(Y[t],d=1,D=0)348633332.831677Range88991Trim Var.181239810.447750
V(Y[t],d=2,D=0)531775214.890805Range116547Trim Var.286770406.794495
V(Y[t],d=3,D=0)1267858122.02694Range183118Trim Var.640450811.083137
V(Y[t],d=0,D=1)1180405122.55984Range125082Trim Var.851739051.649245
V(Y[t],d=1,D=1)64002069.8464385Range37640Trim Var.31065342.8548780
V(Y[t],d=2,D=1)139794583.677295Range61245Trim Var.64557191.4461538
V(Y[t],d=3,D=1)440596683.619192Range107877Trim Var.213025239.147099
V(Y[t],d=0,D=2)1063271388.69206Range132741Trim Var.646870357.483871
V(Y[t],d=1,D=2)155893232.810084Range51545Trim Var.87628045.655914
V(Y[t],d=2,D=2)330171842.49287Range94798Trim Var.153829650.022988
V(Y[t],d=3,D=2)972125097.058712Range137188Trim Var.475748346.955665

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1623748631.48559 & Range & 159527 & Trim Var. & 1168837088.62753 \tabularnewline
V(Y[t],d=1,D=0) & 348633332.831677 & Range & 88991 & Trim Var. & 181239810.447750 \tabularnewline
V(Y[t],d=2,D=0) & 531775214.890805 & Range & 116547 & Trim Var. & 286770406.794495 \tabularnewline
V(Y[t],d=3,D=0) & 1267858122.02694 & Range & 183118 & Trim Var. & 640450811.083137 \tabularnewline
V(Y[t],d=0,D=1) & 1180405122.55984 & Range & 125082 & Trim Var. & 851739051.649245 \tabularnewline
V(Y[t],d=1,D=1) & 64002069.8464385 & Range & 37640 & Trim Var. & 31065342.8548780 \tabularnewline
V(Y[t],d=2,D=1) & 139794583.677295 & Range & 61245 & Trim Var. & 64557191.4461538 \tabularnewline
V(Y[t],d=3,D=1) & 440596683.619192 & Range & 107877 & Trim Var. & 213025239.147099 \tabularnewline
V(Y[t],d=0,D=2) & 1063271388.69206 & Range & 132741 & Trim Var. & 646870357.483871 \tabularnewline
V(Y[t],d=1,D=2) & 155893232.810084 & Range & 51545 & Trim Var. & 87628045.655914 \tabularnewline
V(Y[t],d=2,D=2) & 330171842.49287 & Range & 94798 & Trim Var. & 153829650.022988 \tabularnewline
V(Y[t],d=3,D=2) & 972125097.058712 & Range & 137188 & Trim Var. & 475748346.955665 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33551&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1623748631.48559[/C][C]Range[/C][C]159527[/C][C]Trim Var.[/C][C]1168837088.62753[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]348633332.831677[/C][C]Range[/C][C]88991[/C][C]Trim Var.[/C][C]181239810.447750[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]531775214.890805[/C][C]Range[/C][C]116547[/C][C]Trim Var.[/C][C]286770406.794495[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1267858122.02694[/C][C]Range[/C][C]183118[/C][C]Trim Var.[/C][C]640450811.083137[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1180405122.55984[/C][C]Range[/C][C]125082[/C][C]Trim Var.[/C][C]851739051.649245[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]64002069.8464385[/C][C]Range[/C][C]37640[/C][C]Trim Var.[/C][C]31065342.8548780[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]139794583.677295[/C][C]Range[/C][C]61245[/C][C]Trim Var.[/C][C]64557191.4461538[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]440596683.619192[/C][C]Range[/C][C]107877[/C][C]Trim Var.[/C][C]213025239.147099[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]1063271388.69206[/C][C]Range[/C][C]132741[/C][C]Trim Var.[/C][C]646870357.483871[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]155893232.810084[/C][C]Range[/C][C]51545[/C][C]Trim Var.[/C][C]87628045.655914[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]330171842.49287[/C][C]Range[/C][C]94798[/C][C]Trim Var.[/C][C]153829650.022988[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]972125097.058712[/C][C]Range[/C][C]137188[/C][C]Trim Var.[/C][C]475748346.955665[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33551&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33551&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)1623748631.48559Range159527Trim Var.1168837088.62753
V(Y[t],d=1,D=0)348633332.831677Range88991Trim Var.181239810.447750
V(Y[t],d=2,D=0)531775214.890805Range116547Trim Var.286770406.794495
V(Y[t],d=3,D=0)1267858122.02694Range183118Trim Var.640450811.083137
V(Y[t],d=0,D=1)1180405122.55984Range125082Trim Var.851739051.649245
V(Y[t],d=1,D=1)64002069.8464385Range37640Trim Var.31065342.8548780
V(Y[t],d=2,D=1)139794583.677295Range61245Trim Var.64557191.4461538
V(Y[t],d=3,D=1)440596683.619192Range107877Trim Var.213025239.147099
V(Y[t],d=0,D=2)1063271388.69206Range132741Trim Var.646870357.483871
V(Y[t],d=1,D=2)155893232.810084Range51545Trim Var.87628045.655914
V(Y[t],d=2,D=2)330171842.49287Range94798Trim Var.153829650.022988
V(Y[t],d=3,D=2)972125097.058712Range137188Trim Var.475748346.955665


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')