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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 computationSat, 04 Dec 2010 21:57:22 +0000
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/Dec/04/t1291499900w62whuc0ql7nlx1.htm/, Retrieved Sun, 05 May 2024 03:28:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105272, Retrieved Sun, 05 May 2024 03:28:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [W9 - VRM] [2010-12-04 21:57:22] [6f3869f9d1e39c73f93153f1f7803f84] [Current]
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Dataseries X:
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
528
533
536
537
524
536
587
597
581
564
558
575
580
575
563
552
537
545
601
604
586
564




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=105272&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=105272&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105272&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)1415.77650273224Range157Trim Var.902.496371552975
V(Y[t],d=1,D=0)373.722033898305Range88Trim Var.201.102322206096
V(Y[t],d=2,D=0)557.596142606663Range121Trim Var.314.061683599419
V(Y[t],d=3,D=0)1252.03297035693Range179Trim Var.617.792986425339
V(Y[t],d=0,D=1)1881.99234693878Range141Trim Var.1436.52729384437
V(Y[t],d=1,D=1)80.8936170212766Range38Trim Var.49.8861788617886
V(Y[t],d=2,D=1)132.304347826087Range61Trim Var.57.3487804878049
V(Y[t],d=3,D=1)419.351207729469Range109Trim Var.189.025
V(Y[t],d=0,D=2)2451.9009009009Range155Trim Var.2017.53030303030
V(Y[t],d=1,D=2)206.592857142857Range66Trim Var.109.055913978495
V(Y[t],d=2,D=2)335.680672268908Range80Trim Var.185.958620689655
V(Y[t],d=3,D=2)1083.02317290553Range133Trim Var.643.429885057471

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1415.77650273224 & Range & 157 & Trim Var. & 902.496371552975 \tabularnewline
V(Y[t],d=1,D=0) & 373.722033898305 & Range & 88 & Trim Var. & 201.102322206096 \tabularnewline
V(Y[t],d=2,D=0) & 557.596142606663 & Range & 121 & Trim Var. & 314.061683599419 \tabularnewline
V(Y[t],d=3,D=0) & 1252.03297035693 & Range & 179 & Trim Var. & 617.792986425339 \tabularnewline
V(Y[t],d=0,D=1) & 1881.99234693878 & Range & 141 & Trim Var. & 1436.52729384437 \tabularnewline
V(Y[t],d=1,D=1) & 80.8936170212766 & Range & 38 & Trim Var. & 49.8861788617886 \tabularnewline
V(Y[t],d=2,D=1) & 132.304347826087 & Range & 61 & Trim Var. & 57.3487804878049 \tabularnewline
V(Y[t],d=3,D=1) & 419.351207729469 & Range & 109 & Trim Var. & 189.025 \tabularnewline
V(Y[t],d=0,D=2) & 2451.9009009009 & Range & 155 & Trim Var. & 2017.53030303030 \tabularnewline
V(Y[t],d=1,D=2) & 206.592857142857 & Range & 66 & Trim Var. & 109.055913978495 \tabularnewline
V(Y[t],d=2,D=2) & 335.680672268908 & Range & 80 & Trim Var. & 185.958620689655 \tabularnewline
V(Y[t],d=3,D=2) & 1083.02317290553 & Range & 133 & Trim Var. & 643.429885057471 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105272&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1415.77650273224[/C][C]Range[/C][C]157[/C][C]Trim Var.[/C][C]902.496371552975[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]373.722033898305[/C][C]Range[/C][C]88[/C][C]Trim Var.[/C][C]201.102322206096[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]557.596142606663[/C][C]Range[/C][C]121[/C][C]Trim Var.[/C][C]314.061683599419[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1252.03297035693[/C][C]Range[/C][C]179[/C][C]Trim Var.[/C][C]617.792986425339[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1881.99234693878[/C][C]Range[/C][C]141[/C][C]Trim Var.[/C][C]1436.52729384437[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]80.8936170212766[/C][C]Range[/C][C]38[/C][C]Trim Var.[/C][C]49.8861788617886[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]132.304347826087[/C][C]Range[/C][C]61[/C][C]Trim Var.[/C][C]57.3487804878049[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]419.351207729469[/C][C]Range[/C][C]109[/C][C]Trim Var.[/C][C]189.025[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]2451.9009009009[/C][C]Range[/C][C]155[/C][C]Trim Var.[/C][C]2017.53030303030[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]206.592857142857[/C][C]Range[/C][C]66[/C][C]Trim Var.[/C][C]109.055913978495[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]335.680672268908[/C][C]Range[/C][C]80[/C][C]Trim Var.[/C][C]185.958620689655[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1083.02317290553[/C][C]Range[/C][C]133[/C][C]Trim Var.[/C][C]643.429885057471[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105272&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105272&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)1415.77650273224Range157Trim Var.902.496371552975
V(Y[t],d=1,D=0)373.722033898305Range88Trim Var.201.102322206096
V(Y[t],d=2,D=0)557.596142606663Range121Trim Var.314.061683599419
V(Y[t],d=3,D=0)1252.03297035693Range179Trim Var.617.792986425339
V(Y[t],d=0,D=1)1881.99234693878Range141Trim Var.1436.52729384437
V(Y[t],d=1,D=1)80.8936170212766Range38Trim Var.49.8861788617886
V(Y[t],d=2,D=1)132.304347826087Range61Trim Var.57.3487804878049
V(Y[t],d=3,D=1)419.351207729469Range109Trim Var.189.025
V(Y[t],d=0,D=2)2451.9009009009Range155Trim Var.2017.53030303030
V(Y[t],d=1,D=2)206.592857142857Range66Trim Var.109.055913978495
V(Y[t],d=2,D=2)335.680672268908Range80Trim Var.185.958620689655
V(Y[t],d=3,D=2)1083.02317290553Range133Trim Var.643.429885057471



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')