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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 computationTue, 07 Dec 2010 09:06:27 +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/07/t129171266669js4opa8aobfj3.htm/, Retrieved Fri, 03 May 2024 19:04:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106041, Retrieved Fri, 03 May 2024 19:04:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Spectral Analysis] [Unemployment] [2010-11-29 09:21:38] [b98453cac15ba1066b407e146608df68]
- RMPD      [Variance Reduction Matrix] [WS9 VRM] [2010-12-07 09:06:27] [67e3c2d70de1dbb070b545ca6c893d5e] [Current]
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Dataseries X:
562.325
560.854
555.332
543.599
536.662
542.722
593.530
610.763
612.613
611.324
594.167
595.454
590.865
589.379
584.428
573.100
567.456
569.028
620.735
628.884
628.232
612.117
595.404
597.141
593.408
590.072
579.799
574.205
572.775
572.942
619.567
625.809
619.916
587.625
565.742
557.274
560.576
548.854
531.673
525.919
511.038
498.662
555.362
564.591
541.657
527.070
509.846
514.258
516.922
507.561
492.622
490.243
469.357
477.580
528.379
533.590
517.945
506.174
501.866
516.141
528.222
532.638
536.322
536.535
523.597
536.214
586.570
596.594
580.523
564.478
557.560
575.093




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106041&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106041&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106041&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Variance Reduction Matrix
V(Y[t],d=0,D=0)1569.54268970579Range159.527Trim Var.1105.97870690377
V(Y[t],d=1,D=0)345.569813399598Range88.991Trim Var.169.379931410138
V(Y[t],d=2,D=0)511.632707267909Range116.547Trim Var.262.276666416975
V(Y[t],d=3,D=0)1184.90066865644Range183.118Trim Var.527.006622460655
V(Y[t],d=0,D=1)1551.30653026525Range141.263Trim Var.1218.28002612334
V(Y[t],d=1,D=1)67.0912725973115Range37.6400000000000Trim Var.39.2651766676343
V(Y[t],d=2,D=1)116.864243512704Range61.2450000000001Trim Var.56.2391468186272
V(Y[t],d=3,D=1)372.019236797619Range107.877000000000Trim Var.191.095502492548
V(Y[t],d=0,D=2)2715.47229487766Range174.115Trim Var.2127.10333944077
V(Y[t],d=1,D=2)151.814537844589Range51.545Trim Var.85.5016617304881
V(Y[t],d=2,D=2)340.609574127537Range94.7980000000003Trim Var.170.980438387179
V(Y[t],d=3,D=2)1112.92479043132Range137.188000000001Trim Var.587.596472523614

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1569.54268970579 & Range & 159.527 & Trim Var. & 1105.97870690377 \tabularnewline
V(Y[t],d=1,D=0) & 345.569813399598 & Range & 88.991 & Trim Var. & 169.379931410138 \tabularnewline
V(Y[t],d=2,D=0) & 511.632707267909 & Range & 116.547 & Trim Var. & 262.276666416975 \tabularnewline
V(Y[t],d=3,D=0) & 1184.90066865644 & Range & 183.118 & Trim Var. & 527.006622460655 \tabularnewline
V(Y[t],d=0,D=1) & 1551.30653026525 & Range & 141.263 & Trim Var. & 1218.28002612334 \tabularnewline
V(Y[t],d=1,D=1) & 67.0912725973115 & Range & 37.6400000000000 & Trim Var. & 39.2651766676343 \tabularnewline
V(Y[t],d=2,D=1) & 116.864243512704 & Range & 61.2450000000001 & Trim Var. & 56.2391468186272 \tabularnewline
V(Y[t],d=3,D=1) & 372.019236797619 & Range & 107.877000000000 & Trim Var. & 191.095502492548 \tabularnewline
V(Y[t],d=0,D=2) & 2715.47229487766 & Range & 174.115 & Trim Var. & 2127.10333944077 \tabularnewline
V(Y[t],d=1,D=2) & 151.814537844589 & Range & 51.545 & Trim Var. & 85.5016617304881 \tabularnewline
V(Y[t],d=2,D=2) & 340.609574127537 & Range & 94.7980000000003 & Trim Var. & 170.980438387179 \tabularnewline
V(Y[t],d=3,D=2) & 1112.92479043132 & Range & 137.188000000001 & Trim Var. & 587.596472523614 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106041&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1569.54268970579[/C][C]Range[/C][C]159.527[/C][C]Trim Var.[/C][C]1105.97870690377[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]345.569813399598[/C][C]Range[/C][C]88.991[/C][C]Trim Var.[/C][C]169.379931410138[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]511.632707267909[/C][C]Range[/C][C]116.547[/C][C]Trim Var.[/C][C]262.276666416975[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1184.90066865644[/C][C]Range[/C][C]183.118[/C][C]Trim Var.[/C][C]527.006622460655[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1551.30653026525[/C][C]Range[/C][C]141.263[/C][C]Trim Var.[/C][C]1218.28002612334[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]67.0912725973115[/C][C]Range[/C][C]37.6400000000000[/C][C]Trim Var.[/C][C]39.2651766676343[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]116.864243512704[/C][C]Range[/C][C]61.2450000000001[/C][C]Trim Var.[/C][C]56.2391468186272[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]372.019236797619[/C][C]Range[/C][C]107.877000000000[/C][C]Trim Var.[/C][C]191.095502492548[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]2715.47229487766[/C][C]Range[/C][C]174.115[/C][C]Trim Var.[/C][C]2127.10333944077[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]151.814537844589[/C][C]Range[/C][C]51.545[/C][C]Trim Var.[/C][C]85.5016617304881[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]340.609574127537[/C][C]Range[/C][C]94.7980000000003[/C][C]Trim Var.[/C][C]170.980438387179[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1112.92479043132[/C][C]Range[/C][C]137.188000000001[/C][C]Trim Var.[/C][C]587.596472523614[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106041&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106041&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)1569.54268970579Range159.527Trim Var.1105.97870690377
V(Y[t],d=1,D=0)345.569813399598Range88.991Trim Var.169.379931410138
V(Y[t],d=2,D=0)511.632707267909Range116.547Trim Var.262.276666416975
V(Y[t],d=3,D=0)1184.90066865644Range183.118Trim Var.527.006622460655
V(Y[t],d=0,D=1)1551.30653026525Range141.263Trim Var.1218.28002612334
V(Y[t],d=1,D=1)67.0912725973115Range37.6400000000000Trim Var.39.2651766676343
V(Y[t],d=2,D=1)116.864243512704Range61.2450000000001Trim Var.56.2391468186272
V(Y[t],d=3,D=1)372.019236797619Range107.877000000000Trim Var.191.095502492548
V(Y[t],d=0,D=2)2715.47229487766Range174.115Trim Var.2127.10333944077
V(Y[t],d=1,D=2)151.814537844589Range51.545Trim Var.85.5016617304881
V(Y[t],d=2,D=2)340.609574127537Range94.7980000000003Trim Var.170.980438387179
V(Y[t],d=3,D=2)1112.92479043132Range137.188000000001Trim Var.587.596472523614



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')