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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationThu, 06 Dec 2007 06:56:02 -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/2007/Dec/06/t1196948641nkiiiflwb1x6zy6.htm/, Retrieved Fri, 03 May 2024 11:28:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2610, Retrieved Fri, 03 May 2024 11:28:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact215

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] [WS4: Q2 werkloosheid] [2007-12-06 13:56:02] [9b75aacdafaeee3fe66fbd4de075ccd6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2610&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2610&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2610&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Variance Reduction Matrix
V(Y[t],d=0,D=0)1319.04406779661Range130Trim Var.1022.86792452830
V(Y[t],d=1,D=0)353.172998246639Range94Trim Var.166.914368650218
V(Y[t],d=2,D=0)533.896249243799Range119Trim Var.264.339366515837
V(Y[t],d=3,D=0)1284.87280701754Range179Trim Var.586.336326530612
V(Y[t],d=0,D=1)1335.09530141844Range125Trim Var.961.278164924506
V(Y[t],d=1,D=1)45.4967622571693Range28Trim Var.25.8967948717949
V(Y[t],d=2,D=1)88.2497584541063Range42Trim Var.50.0282051282051
V(Y[t],d=3,D=1)233.461616161616Range64Trim Var.153.406207827260
V(Y[t],d=0,D=2)449.564285714286Range87Trim Var.298.479838709677
V(Y[t],d=1,D=2)85.0588235294118Range39Trim Var.53.9591397849462
V(Y[t],d=2,D=2)162.606951871658Range51Trim Var.104.906896551724
V(Y[t],d=3,D=2)424.460227272727Range85Trim Var.266.004926108374

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1319.04406779661 & Range & 130 & Trim Var. & 1022.86792452830 \tabularnewline
V(Y[t],d=1,D=0) & 353.172998246639 & Range & 94 & Trim Var. & 166.914368650218 \tabularnewline
V(Y[t],d=2,D=0) & 533.896249243799 & Range & 119 & Trim Var. & 264.339366515837 \tabularnewline
V(Y[t],d=3,D=0) & 1284.87280701754 & Range & 179 & Trim Var. & 586.336326530612 \tabularnewline
V(Y[t],d=0,D=1) & 1335.09530141844 & Range & 125 & Trim Var. & 961.278164924506 \tabularnewline
V(Y[t],d=1,D=1) & 45.4967622571693 & Range & 28 & Trim Var. & 25.8967948717949 \tabularnewline
V(Y[t],d=2,D=1) & 88.2497584541063 & Range & 42 & Trim Var. & 50.0282051282051 \tabularnewline
V(Y[t],d=3,D=1) & 233.461616161616 & Range & 64 & Trim Var. & 153.406207827260 \tabularnewline
V(Y[t],d=0,D=2) & 449.564285714286 & Range & 87 & Trim Var. & 298.479838709677 \tabularnewline
V(Y[t],d=1,D=2) & 85.0588235294118 & Range & 39 & Trim Var. & 53.9591397849462 \tabularnewline
V(Y[t],d=2,D=2) & 162.606951871658 & Range & 51 & Trim Var. & 104.906896551724 \tabularnewline
V(Y[t],d=3,D=2) & 424.460227272727 & Range & 85 & Trim Var. & 266.004926108374 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2610&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1319.04406779661[/C][C]Range[/C][C]130[/C][C]Trim Var.[/C][C]1022.86792452830[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]353.172998246639[/C][C]Range[/C][C]94[/C][C]Trim Var.[/C][C]166.914368650218[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]533.896249243799[/C][C]Range[/C][C]119[/C][C]Trim Var.[/C][C]264.339366515837[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1284.87280701754[/C][C]Range[/C][C]179[/C][C]Trim Var.[/C][C]586.336326530612[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1335.09530141844[/C][C]Range[/C][C]125[/C][C]Trim Var.[/C][C]961.278164924506[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]45.4967622571693[/C][C]Range[/C][C]28[/C][C]Trim Var.[/C][C]25.8967948717949[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]88.2497584541063[/C][C]Range[/C][C]42[/C][C]Trim Var.[/C][C]50.0282051282051[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]233.461616161616[/C][C]Range[/C][C]64[/C][C]Trim Var.[/C][C]153.406207827260[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]449.564285714286[/C][C]Range[/C][C]87[/C][C]Trim Var.[/C][C]298.479838709677[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]85.0588235294118[/C][C]Range[/C][C]39[/C][C]Trim Var.[/C][C]53.9591397849462[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]162.606951871658[/C][C]Range[/C][C]51[/C][C]Trim Var.[/C][C]104.906896551724[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]424.460227272727[/C][C]Range[/C][C]85[/C][C]Trim Var.[/C][C]266.004926108374[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2610&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2610&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)1319.04406779661Range130Trim Var.1022.86792452830
V(Y[t],d=1,D=0)353.172998246639Range94Trim Var.166.914368650218
V(Y[t],d=2,D=0)533.896249243799Range119Trim Var.264.339366515837
V(Y[t],d=3,D=0)1284.87280701754Range179Trim Var.586.336326530612
V(Y[t],d=0,D=1)1335.09530141844Range125Trim Var.961.278164924506
V(Y[t],d=1,D=1)45.4967622571693Range28Trim Var.25.8967948717949
V(Y[t],d=2,D=1)88.2497584541063Range42Trim Var.50.0282051282051
V(Y[t],d=3,D=1)233.461616161616Range64Trim Var.153.406207827260
V(Y[t],d=0,D=2)449.564285714286Range87Trim Var.298.479838709677
V(Y[t],d=1,D=2)85.0588235294118Range39Trim Var.53.9591397849462
V(Y[t],d=2,D=2)162.606951871658Range51Trim Var.104.906896551724
V(Y[t],d=3,D=2)424.460227272727Range85Trim Var.266.004926108374


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')