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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationSat, 20 Dec 2008 08:20:24 -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/2008/Dec/20/t12297865839r367ezohoy4djt.htm/, Retrieved Wed, 22 May 2024 13:34:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35408, Retrieved Wed, 22 May 2024 13:34:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact226
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Variance Reduction Matrix] [Step 2 eigen tijd...] [2008-12-10 00:14:02] [7a4703cb85a198d9845d72899eff0288]
-   PD    [Variance Reduction Matrix] [PaperVRM1Geoffrey] [2008-12-20 15:20:24] [9bd6ffcbd02a1b442f4187c5798ef35f] [Current]
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Dataseries X:
127,84
132,43
134,13
134,78
133,13
129,08
134,48
132,86
134,08
134,54
134,51
135,97
136,09
139,14
135,63
136,55
138,83
138,84
135,37
132,22
134,75
135,98
136,06
138,05
139,59
140,58
139,81
140,77
140,96
143,59
142,7
145,11
146,7
148,53
148,99
149,65
151,11
154,82
156,56
157,6
155,24
160,68
163,22
164,55
166,76
159,05
159,82
164,95
162,89
163,55
158,68
157,97
156,59
161,56
162,31
166,26
168,45
163,63
153,2
133,52
123,28




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35408&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]2 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=35408&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35408&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Variance Reduction Matrix
V(Y[t],d=0,D=0)154.971833715847Range45.17Trim Var.120.584978229318
V(Y[t],d=1,D=0)17.2968752542373Range25.12Trim Var.6.18060614954576
V(Y[t],d=2,D=0)18.1611188194038Range19.3699999999999Trim Var.10.8912871552975
V(Y[t],d=3,D=0)49.6444931941922Range35.1599999999999Trim Var.29.0717916666666
V(Y[t],d=0,D=1)115.911799659864Range60.13Trim Var.31.4913946843854
V(Y[t],d=1,D=1)25.7786721631205Range30.37Trim Var.8.62313147502901
V(Y[t],d=2,D=1)32.857698334875Range30.7199999999999Trim Var.13.3497848780488
V(Y[t],d=3,D=1)77.3950871497582Range47.2399999999999Trim Var.29.6722230128205
V(Y[t],d=0,D=2)247.614133633633Range64.92Trim Var.123.944378030303
V(Y[t],d=1,D=2)51.5073282539682Range41.7100000000000Trim Var.18.0694926411290
V(Y[t],d=2,D=2)86.3049852100839Range48.5599999999999Trim Var.42.299764516129
V(Y[t],d=3,D=2)202.426468181818Range79.3999999999999Trim Var.91.3279057471263

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 154.971833715847 & Range & 45.17 & Trim Var. & 120.584978229318 \tabularnewline
V(Y[t],d=1,D=0) & 17.2968752542373 & Range & 25.12 & Trim Var. & 6.18060614954576 \tabularnewline
V(Y[t],d=2,D=0) & 18.1611188194038 & Range & 19.3699999999999 & Trim Var. & 10.8912871552975 \tabularnewline
V(Y[t],d=3,D=0) & 49.6444931941922 & Range & 35.1599999999999 & Trim Var. & 29.0717916666666 \tabularnewline
V(Y[t],d=0,D=1) & 115.911799659864 & Range & 60.13 & Trim Var. & 31.4913946843854 \tabularnewline
V(Y[t],d=1,D=1) & 25.7786721631205 & Range & 30.37 & Trim Var. & 8.62313147502901 \tabularnewline
V(Y[t],d=2,D=1) & 32.857698334875 & Range & 30.7199999999999 & Trim Var. & 13.3497848780488 \tabularnewline
V(Y[t],d=3,D=1) & 77.3950871497582 & Range & 47.2399999999999 & Trim Var. & 29.6722230128205 \tabularnewline
V(Y[t],d=0,D=2) & 247.614133633633 & Range & 64.92 & Trim Var. & 123.944378030303 \tabularnewline
V(Y[t],d=1,D=2) & 51.5073282539682 & Range & 41.7100000000000 & Trim Var. & 18.0694926411290 \tabularnewline
V(Y[t],d=2,D=2) & 86.3049852100839 & Range & 48.5599999999999 & Trim Var. & 42.299764516129 \tabularnewline
V(Y[t],d=3,D=2) & 202.426468181818 & Range & 79.3999999999999 & Trim Var. & 91.3279057471263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35408&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]154.971833715847[/C][C]Range[/C][C]45.17[/C][C]Trim Var.[/C][C]120.584978229318[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]17.2968752542373[/C][C]Range[/C][C]25.12[/C][C]Trim Var.[/C][C]6.18060614954576[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]18.1611188194038[/C][C]Range[/C][C]19.3699999999999[/C][C]Trim Var.[/C][C]10.8912871552975[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]49.6444931941922[/C][C]Range[/C][C]35.1599999999999[/C][C]Trim Var.[/C][C]29.0717916666666[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]115.911799659864[/C][C]Range[/C][C]60.13[/C][C]Trim Var.[/C][C]31.4913946843854[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]25.7786721631205[/C][C]Range[/C][C]30.37[/C][C]Trim Var.[/C][C]8.62313147502901[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]32.857698334875[/C][C]Range[/C][C]30.7199999999999[/C][C]Trim Var.[/C][C]13.3497848780488[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]77.3950871497582[/C][C]Range[/C][C]47.2399999999999[/C][C]Trim Var.[/C][C]29.6722230128205[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]247.614133633633[/C][C]Range[/C][C]64.92[/C][C]Trim Var.[/C][C]123.944378030303[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]51.5073282539682[/C][C]Range[/C][C]41.7100000000000[/C][C]Trim Var.[/C][C]18.0694926411290[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]86.3049852100839[/C][C]Range[/C][C]48.5599999999999[/C][C]Trim Var.[/C][C]42.299764516129[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]202.426468181818[/C][C]Range[/C][C]79.3999999999999[/C][C]Trim Var.[/C][C]91.3279057471263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35408&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35408&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)154.971833715847Range45.17Trim Var.120.584978229318
V(Y[t],d=1,D=0)17.2968752542373Range25.12Trim Var.6.18060614954576
V(Y[t],d=2,D=0)18.1611188194038Range19.3699999999999Trim Var.10.8912871552975
V(Y[t],d=3,D=0)49.6444931941922Range35.1599999999999Trim Var.29.0717916666666
V(Y[t],d=0,D=1)115.911799659864Range60.13Trim Var.31.4913946843854
V(Y[t],d=1,D=1)25.7786721631205Range30.37Trim Var.8.62313147502901
V(Y[t],d=2,D=1)32.857698334875Range30.7199999999999Trim Var.13.3497848780488
V(Y[t],d=3,D=1)77.3950871497582Range47.2399999999999Trim Var.29.6722230128205
V(Y[t],d=0,D=2)247.614133633633Range64.92Trim Var.123.944378030303
V(Y[t],d=1,D=2)51.5073282539682Range41.7100000000000Trim Var.18.0694926411290
V(Y[t],d=2,D=2)86.3049852100839Range48.5599999999999Trim Var.42.299764516129
V(Y[t],d=3,D=2)202.426468181818Range79.3999999999999Trim Var.91.3279057471263



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 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')