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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 computationThu, 03 Dec 2009 14:00:42 -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/2009/Dec/03/t1259874094r8d22a1khavtjzd.htm/, Retrieved Thu, 18 Apr 2024 23:09:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63120, Retrieved Thu, 18 Apr 2024 23:09:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124
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   [Variance Reduction Matrix] [] [2009-11-27 14:44:05] [b98453cac15ba1066b407e146608df68]
-    D      [Variance Reduction Matrix] [workshop 9] [2009-12-03 21:00:42] [6c94b261890ba36343a04d1029691995] [Current]
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Dataseries X:
283.042
276.687
277.915
277.128
277.103
275.037
270.150
267.140
264.993
287.259
291.186
292.300
288.186
281.477
282.656
280.190
280.408
276.836
275.216
274.352
271.311
289.802
290.726
292.300
278.506
269.826
265.861
269.034
264.176
255.198
253.353
246.057
235.372
258.556
260.993
254.663
250.643
243.422
247.105
248.541
245.039
237.080
237.085
225.554
226.839
247.934
248.333
246.969
245.098
246.263
255.765
264.319
268.347
273.046
273.963
267.430
271.993
292.710
295.881
293.299




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=63120&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=63120&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63120&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)328.554092850565Range70.327Trim Var.243.101309470300
V(Y[t],d=1,D=0)62.8111052004676Range36.978Trim Var.33.1036453207547
V(Y[t],d=2,D=0)111.560459663944Range54.6159999999999Trim Var.57.888152734163
V(Y[t],d=3,D=0)300.719671320176Range91.8739999999998Trim Var.156.371803880001
V(Y[t],d=0,D=1)533.040478423759Range85.185Trim Var.359.017573003484
V(Y[t],d=1,D=1)25.8335323006475Range22.338Trim Var.14.6449013256097
V(Y[t],d=2,D=1)47.2923068405797Range31.7370000000000Trim Var.24.2981944512821
V(Y[t],d=3,D=1)156.129111207071Range57.35900Trim Var.85.9425586045883
V(Y[t],d=0,D=2)1064.20703312063Range104.636Trim Var.869.676428829637
V(Y[t],d=1,D=2)64.1189046100839Range28.3059999999999Trim Var.44.3920951978494
V(Y[t],d=2,D=2)165.631706649733Range54.2139999999999Trim Var.112.834153688506
V(Y[t],d=3,D=2)561.714542251894Range84.5400000000002Trim Var.401.771145187193

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 328.554092850565 & Range & 70.327 & Trim Var. & 243.101309470300 \tabularnewline
V(Y[t],d=1,D=0) & 62.8111052004676 & Range & 36.978 & Trim Var. & 33.1036453207547 \tabularnewline
V(Y[t],d=2,D=0) & 111.560459663944 & Range & 54.6159999999999 & Trim Var. & 57.888152734163 \tabularnewline
V(Y[t],d=3,D=0) & 300.719671320176 & Range & 91.8739999999998 & Trim Var. & 156.371803880001 \tabularnewline
V(Y[t],d=0,D=1) & 533.040478423759 & Range & 85.185 & Trim Var. & 359.017573003484 \tabularnewline
V(Y[t],d=1,D=1) & 25.8335323006475 & Range & 22.338 & Trim Var. & 14.6449013256097 \tabularnewline
V(Y[t],d=2,D=1) & 47.2923068405797 & Range & 31.7370000000000 & Trim Var. & 24.2981944512821 \tabularnewline
V(Y[t],d=3,D=1) & 156.129111207071 & Range & 57.35900 & Trim Var. & 85.9425586045883 \tabularnewline
V(Y[t],d=0,D=2) & 1064.20703312063 & Range & 104.636 & Trim Var. & 869.676428829637 \tabularnewline
V(Y[t],d=1,D=2) & 64.1189046100839 & Range & 28.3059999999999 & Trim Var. & 44.3920951978494 \tabularnewline
V(Y[t],d=2,D=2) & 165.631706649733 & Range & 54.2139999999999 & Trim Var. & 112.834153688506 \tabularnewline
V(Y[t],d=3,D=2) & 561.714542251894 & Range & 84.5400000000002 & Trim Var. & 401.771145187193 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63120&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]328.554092850565[/C][C]Range[/C][C]70.327[/C][C]Trim Var.[/C][C]243.101309470300[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]62.8111052004676[/C][C]Range[/C][C]36.978[/C][C]Trim Var.[/C][C]33.1036453207547[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]111.560459663944[/C][C]Range[/C][C]54.6159999999999[/C][C]Trim Var.[/C][C]57.888152734163[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]300.719671320176[/C][C]Range[/C][C]91.8739999999998[/C][C]Trim Var.[/C][C]156.371803880001[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]533.040478423759[/C][C]Range[/C][C]85.185[/C][C]Trim Var.[/C][C]359.017573003484[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]25.8335323006475[/C][C]Range[/C][C]22.338[/C][C]Trim Var.[/C][C]14.6449013256097[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]47.2923068405797[/C][C]Range[/C][C]31.7370000000000[/C][C]Trim Var.[/C][C]24.2981944512821[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]156.129111207071[/C][C]Range[/C][C]57.35900[/C][C]Trim Var.[/C][C]85.9425586045883[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]1064.20703312063[/C][C]Range[/C][C]104.636[/C][C]Trim Var.[/C][C]869.676428829637[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]64.1189046100839[/C][C]Range[/C][C]28.3059999999999[/C][C]Trim Var.[/C][C]44.3920951978494[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]165.631706649733[/C][C]Range[/C][C]54.2139999999999[/C][C]Trim Var.[/C][C]112.834153688506[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]561.714542251894[/C][C]Range[/C][C]84.5400000000002[/C][C]Trim Var.[/C][C]401.771145187193[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63120&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63120&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)328.554092850565Range70.327Trim Var.243.101309470300
V(Y[t],d=1,D=0)62.8111052004676Range36.978Trim Var.33.1036453207547
V(Y[t],d=2,D=0)111.560459663944Range54.6159999999999Trim Var.57.888152734163
V(Y[t],d=3,D=0)300.719671320176Range91.8739999999998Trim Var.156.371803880001
V(Y[t],d=0,D=1)533.040478423759Range85.185Trim Var.359.017573003484
V(Y[t],d=1,D=1)25.8335323006475Range22.338Trim Var.14.6449013256097
V(Y[t],d=2,D=1)47.2923068405797Range31.7370000000000Trim Var.24.2981944512821
V(Y[t],d=3,D=1)156.129111207071Range57.35900Trim Var.85.9425586045883
V(Y[t],d=0,D=2)1064.20703312063Range104.636Trim Var.869.676428829637
V(Y[t],d=1,D=2)64.1189046100839Range28.3059999999999Trim Var.44.3920951978494
V(Y[t],d=2,D=2)165.631706649733Range54.2139999999999Trim Var.112.834153688506
V(Y[t],d=3,D=2)561.714542251894Range84.5400000000002Trim Var.401.771145187193



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')