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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationWed, 28 Nov 2007 09:06:06 -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/Nov/28/t11962653518wip66texd16xe2.htm/, Retrieved Thu, 02 May 2024 10:35:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7120, Retrieved Thu, 02 May 2024 10:35:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact167
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [workshop 3] [2007-11-28 16:06:06] [9cd804c1ac16035a4cb2da1c6dfdb61e] [Current]
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Dataseries X:
39892
32194
21629
59968
45694
55756
48554
41052
49822
39191
31994
35735
38930
33658
23849
58972
59249
63955
53785
52760
44795
37348
32370
32717
40974
33591
21124
58608
46865
51378
46235
47206
45382
41227
33795
31295
42625
33625
21538
56421
53152
53536
52408
41454
38271
35306
26414
31917
38030
27534
18387
50556
43901
48572
43899
37532
40357
35489
29027
34485
42598
30306
26451
47460
50104
61465
53726
39477
43895
31481
29896
33842
39120
33702
25094
51442
45594
52518
48564
41745
49585
32747
33379
35645
37034
35681
20972
58552
54955
64540
51570
51145
46641
35704
33253
35193
41668
34865
21210
56126
49321
59723
48103
47472
50497
40059






Summary of compuational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7120&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7120&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7120&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 compuational 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)116479116.036748Range46153Trim Var.77742159.5480439
V(Y[t],d=1,D=0)151639727.301832Range55177Trim Var.69202206.246143
V(Y[t],d=2,D=0)412750505.995519Range104902Trim Var.183585173.866579
V(Y[t],d=3,D=0)1353212154.99372Range178466Trim Var.699459562.40464
V(Y[t],d=0,D=1)29013674.0435827Range26132Trim Var.17139482.1526104
V(Y[t],d=1,D=1)30414423.5135577Range31286Trim Var.16959375.0199824
V(Y[t],d=2,D=1)85940221.5904205Range43671Trim Var.52411234.6222523
V(Y[t],d=3,D=1)290543799.023443Range80805Trim Var.187234198.983642
V(Y[t],d=0,D=2)94036185.6352002Range46908Trim Var.53235470.2245696
V(Y[t],d=1,D=2)81788753.3277778Range49447Trim Var.42866211.4221328
V(Y[t],d=2,D=2)211010434.154272Range66024Trim Var.141744925.125978
V(Y[t],d=3,D=2)693824940.515092Range124716Trim Var.472188345.349698

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 116479116.036748 & Range & 46153 & Trim Var. & 77742159.5480439 \tabularnewline
V(Y[t],d=1,D=0) & 151639727.301832 & Range & 55177 & Trim Var. & 69202206.246143 \tabularnewline
V(Y[t],d=2,D=0) & 412750505.995519 & Range & 104902 & Trim Var. & 183585173.866579 \tabularnewline
V(Y[t],d=3,D=0) & 1353212154.99372 & Range & 178466 & Trim Var. & 699459562.40464 \tabularnewline
V(Y[t],d=0,D=1) & 29013674.0435827 & Range & 26132 & Trim Var. & 17139482.1526104 \tabularnewline
V(Y[t],d=1,D=1) & 30414423.5135577 & Range & 31286 & Trim Var. & 16959375.0199824 \tabularnewline
V(Y[t],d=2,D=1) & 85940221.5904205 & Range & 43671 & Trim Var. & 52411234.6222523 \tabularnewline
V(Y[t],d=3,D=1) & 290543799.023443 & Range & 80805 & Trim Var. & 187234198.983642 \tabularnewline
V(Y[t],d=0,D=2) & 94036185.6352002 & Range & 46908 & Trim Var. & 53235470.2245696 \tabularnewline
V(Y[t],d=1,D=2) & 81788753.3277778 & Range & 49447 & Trim Var. & 42866211.4221328 \tabularnewline
V(Y[t],d=2,D=2) & 211010434.154272 & Range & 66024 & Trim Var. & 141744925.125978 \tabularnewline
V(Y[t],d=3,D=2) & 693824940.515092 & Range & 124716 & Trim Var. & 472188345.349698 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7120&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]116479116.036748[/C][C]Range[/C][C]46153[/C][C]Trim Var.[/C][C]77742159.5480439[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]151639727.301832[/C][C]Range[/C][C]55177[/C][C]Trim Var.[/C][C]69202206.246143[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]412750505.995519[/C][C]Range[/C][C]104902[/C][C]Trim Var.[/C][C]183585173.866579[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1353212154.99372[/C][C]Range[/C][C]178466[/C][C]Trim Var.[/C][C]699459562.40464[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]29013674.0435827[/C][C]Range[/C][C]26132[/C][C]Trim Var.[/C][C]17139482.1526104[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]30414423.5135577[/C][C]Range[/C][C]31286[/C][C]Trim Var.[/C][C]16959375.0199824[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]85940221.5904205[/C][C]Range[/C][C]43671[/C][C]Trim Var.[/C][C]52411234.6222523[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]290543799.023443[/C][C]Range[/C][C]80805[/C][C]Trim Var.[/C][C]187234198.983642[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]94036185.6352002[/C][C]Range[/C][C]46908[/C][C]Trim Var.[/C][C]53235470.2245696[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]81788753.3277778[/C][C]Range[/C][C]49447[/C][C]Trim Var.[/C][C]42866211.4221328[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]211010434.154272[/C][C]Range[/C][C]66024[/C][C]Trim Var.[/C][C]141744925.125978[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]693824940.515092[/C][C]Range[/C][C]124716[/C][C]Trim Var.[/C][C]472188345.349698[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7120&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7120&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)116479116.036748Range46153Trim Var.77742159.5480439
V(Y[t],d=1,D=0)151639727.301832Range55177Trim Var.69202206.246143
V(Y[t],d=2,D=0)412750505.995519Range104902Trim Var.183585173.866579
V(Y[t],d=3,D=0)1353212154.99372Range178466Trim Var.699459562.40464
V(Y[t],d=0,D=1)29013674.0435827Range26132Trim Var.17139482.1526104
V(Y[t],d=1,D=1)30414423.5135577Range31286Trim Var.16959375.0199824
V(Y[t],d=2,D=1)85940221.5904205Range43671Trim Var.52411234.6222523
V(Y[t],d=3,D=1)290543799.023443Range80805Trim Var.187234198.983642
V(Y[t],d=0,D=2)94036185.6352002Range46908Trim Var.53235470.2245696
V(Y[t],d=1,D=2)81788753.3277778Range49447Trim Var.42866211.4221328
V(Y[t],d=2,D=2)211010434.154272Range66024Trim Var.141744925.125978
V(Y[t],d=3,D=2)693824940.515092Range124716Trim Var.472188345.349698



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')