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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 computationWed, 22 Dec 2010 14:11:28 +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/22/t1293026962i8ia414lw43v4ru.htm/, Retrieved Mon, 06 May 2024 08:39:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114224, Retrieved Mon, 06 May 2024 08:39:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
-   PD  [Variance Reduction Matrix] [WS9 - Variance Re...] [2010-12-04 11:04:59] [8ef49741e164ec6343c90c7935194465]
-   P     [Variance Reduction Matrix] [WS 9 VRM] [2010-12-05 14:01:21] [8214fe6d084e5ad7598b249a26cc9f06]
-    D      [Variance Reduction Matrix] [paper VRM ] [2010-12-10 10:35:54] [8214fe6d084e5ad7598b249a26cc9f06]
-    D        [Variance Reduction Matrix] [vrm] [2010-12-20 19:36:17] [8214fe6d084e5ad7598b249a26cc9f06]
-   PD          [Variance Reduction Matrix] [vrm laaggeschoolden] [2010-12-21 19:19:07] [8214fe6d084e5ad7598b249a26cc9f06]
-   PD              [Variance Reduction Matrix] [vrm middengeschoo...] [2010-12-22 14:11:28] [b47314d83d48c7bf812ec2bcd743b159] [Current]
-    D                [Variance Reduction Matrix] [vrm hooggeschoolden] [2010-12-22 14:16:32] [8214fe6d084e5ad7598b249a26cc9f06]
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Dataseries X:
56190
54300
51362
49802
48088
46696
56586
64148
56449
52538
49359
49583
51050
49610
48321
47692
46243
46248
56381
62329
60673
58393
55742
57135
57961
56571
55615
53494
52623
52820
66825
70695
65660
63238
61741
63642
65521
64006
62728
62438
61109
63422
78094
82030
75892
72431
69194
71171
72545
71503
69624
67407
66103
67466
81088
86781
79964
80407
76589
78083
78000
76431
75461
73739
71988
72929
85785
89261
84012
80924
76588
77546
73054
73430
71093
72202
70872
70452
80506
80400
77613
69056
65321
64018
64767
61099
58329
56396
54656
55259
66912
66631
59907
56274
54045
55792
55499
53216
52259
51257
48150
51125
61046
61022
56742
54485
53862
58228
61951
62874
64013
62937
61897
65267
75228
76161
71480
69070
68293
74685
72664
71965
69238
67738
65187
66170
77309
77134
70957
67749
65081




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114224&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114224&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114224&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Variance Reduction Matrix
V(Y[t],d=0,D=0)103919027.753611Range43018Trim Var.74624415.36089
V(Y[t],d=1,D=0)19802072.8449016Range23229Trim Var.9512947.75052474
V(Y[t],d=2,D=0)30179544.108406Range29069Trim Var.16554195.8100687
V(Y[t],d=3,D=0)69249963.7234252Range43713Trim Var.34806815.2002018
V(Y[t],d=0,D=1)65069217.5836775Range34163Trim Var.45797637.8670428
V(Y[t],d=1,D=1)4268829.61060409Range11787Trim Var.2245047.17708895
V(Y[t],d=2,D=1)8974839.97406425Range18146Trim Var.4257441.40238095
V(Y[t],d=3,D=1)29858977.9586207Range30788Trim Var.15463637.6586072
V(Y[t],d=0,D=2)93191565.5187798Range38391Trim Var.66460245.1075028
V(Y[t],d=1,D=2)10744719.7728661Range20153Trim Var.4819894.33127431
V(Y[t],d=2,D=2)24713327.3512821Range32431Trim Var.11971984.115942
V(Y[t],d=3,D=2)82757047.8655713Range53612Trim Var.39424995.0974678

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 103919027.753611 & Range & 43018 & Trim Var. & 74624415.36089 \tabularnewline
V(Y[t],d=1,D=0) & 19802072.8449016 & Range & 23229 & Trim Var. & 9512947.75052474 \tabularnewline
V(Y[t],d=2,D=0) & 30179544.108406 & Range & 29069 & Trim Var. & 16554195.8100687 \tabularnewline
V(Y[t],d=3,D=0) & 69249963.7234252 & Range & 43713 & Trim Var. & 34806815.2002018 \tabularnewline
V(Y[t],d=0,D=1) & 65069217.5836775 & Range & 34163 & Trim Var. & 45797637.8670428 \tabularnewline
V(Y[t],d=1,D=1) & 4268829.61060409 & Range & 11787 & Trim Var. & 2245047.17708895 \tabularnewline
V(Y[t],d=2,D=1) & 8974839.97406425 & Range & 18146 & Trim Var. & 4257441.40238095 \tabularnewline
V(Y[t],d=3,D=1) & 29858977.9586207 & Range & 30788 & Trim Var. & 15463637.6586072 \tabularnewline
V(Y[t],d=0,D=2) & 93191565.5187798 & Range & 38391 & Trim Var. & 66460245.1075028 \tabularnewline
V(Y[t],d=1,D=2) & 10744719.7728661 & Range & 20153 & Trim Var. & 4819894.33127431 \tabularnewline
V(Y[t],d=2,D=2) & 24713327.3512821 & Range & 32431 & Trim Var. & 11971984.115942 \tabularnewline
V(Y[t],d=3,D=2) & 82757047.8655713 & Range & 53612 & Trim Var. & 39424995.0974678 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114224&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]103919027.753611[/C][C]Range[/C][C]43018[/C][C]Trim Var.[/C][C]74624415.36089[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]19802072.8449016[/C][C]Range[/C][C]23229[/C][C]Trim Var.[/C][C]9512947.75052474[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]30179544.108406[/C][C]Range[/C][C]29069[/C][C]Trim Var.[/C][C]16554195.8100687[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]69249963.7234252[/C][C]Range[/C][C]43713[/C][C]Trim Var.[/C][C]34806815.2002018[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]65069217.5836775[/C][C]Range[/C][C]34163[/C][C]Trim Var.[/C][C]45797637.8670428[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]4268829.61060409[/C][C]Range[/C][C]11787[/C][C]Trim Var.[/C][C]2245047.17708895[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]8974839.97406425[/C][C]Range[/C][C]18146[/C][C]Trim Var.[/C][C]4257441.40238095[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]29858977.9586207[/C][C]Range[/C][C]30788[/C][C]Trim Var.[/C][C]15463637.6586072[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]93191565.5187798[/C][C]Range[/C][C]38391[/C][C]Trim Var.[/C][C]66460245.1075028[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]10744719.7728661[/C][C]Range[/C][C]20153[/C][C]Trim Var.[/C][C]4819894.33127431[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]24713327.3512821[/C][C]Range[/C][C]32431[/C][C]Trim Var.[/C][C]11971984.115942[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]82757047.8655713[/C][C]Range[/C][C]53612[/C][C]Trim Var.[/C][C]39424995.0974678[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114224&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114224&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)103919027.753611Range43018Trim Var.74624415.36089
V(Y[t],d=1,D=0)19802072.8449016Range23229Trim Var.9512947.75052474
V(Y[t],d=2,D=0)30179544.108406Range29069Trim Var.16554195.8100687
V(Y[t],d=3,D=0)69249963.7234252Range43713Trim Var.34806815.2002018
V(Y[t],d=0,D=1)65069217.5836775Range34163Trim Var.45797637.8670428
V(Y[t],d=1,D=1)4268829.61060409Range11787Trim Var.2245047.17708895
V(Y[t],d=2,D=1)8974839.97406425Range18146Trim Var.4257441.40238095
V(Y[t],d=3,D=1)29858977.9586207Range30788Trim Var.15463637.6586072
V(Y[t],d=0,D=2)93191565.5187798Range38391Trim Var.66460245.1075028
V(Y[t],d=1,D=2)10744719.7728661Range20153Trim Var.4819894.33127431
V(Y[t],d=2,D=2)24713327.3512821Range32431Trim Var.11971984.115942
V(Y[t],d=3,D=2)82757047.8655713Range53612Trim Var.39424995.0974678



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')