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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_variancereduction.wasp

Title produced by software

Variance Reduction Matrix

Date of computation

Mon, 06 Dec 2010 13:25:13 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/06/t1291641784a6je18u3adiv4xy.htm/, Retrieved Mon, 29 Apr 2024 00:13:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105577, Retrieved Mon, 29 Apr 2024 00:13:06 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

155

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
- RM D  [Variance Reduction Matrix] [VRM suiker] [2008-12-09 16:07:08] [f77c9ab3b413812d7baee6b7ec69a15d]
-    D    [Variance Reduction Matrix] [VRM chocpasta zon...] [2008-12-18 11:26:21] [f77c9ab3b413812d7baee6b7ec69a15d]
-  M D        [Variance Reduction Matrix] [Variance Reductio...] [2010-12-06 13:25:13] [2fa539864aa87c5da4977c85c6885fac] [Current]

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Dataseries X:

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Histogram

Boxplots

1.88
1.87
1.88
1.87
1.88
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.88
1.88
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.86
1.86
1.85
1.84
1.83
1.82
1.78
1.75
1.74
1.74
1.74
1.73
1.73
1.73
1.71
1.7
1.7
1.69
1.68
1.68
1.68
1.68
1.67
1.66
1.65
1.65
1.65

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=105577&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=105577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105577&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Variance Reduction Matrix
V(Y[t],d=0,D=0)	0.00710909090909092	Range	0.23	Trim Var.	0.00618364361702129
V(Y[t],d=1,D=0)	7.29292929292925e-05	Range	0.0499999999999998	Trim Var.	2.31292517006801e-05
V(Y[t],d=2,D=0)	9.61914744933597e-05	Range	0.05	Trim Var.	3.83903792784455e-05
V(Y[t],d=3,D=0)	0.000261393323657469	Range	0.0799999999999992	Trim Var.	0.000117206290471784
V(Y[t],d=0,D=1)	0.00295031712473573	Range	0.15	Trim Var.	0.00197692307692308
V(Y[t],d=1,D=1)	0.000162901439645625	Range	0.07	Trim Var.	4.8798798798798e-05
V(Y[t],d=2,D=1)	0.000197502903600462	Range	0.0699999999999998	Trim Var.	9.66131907308358e-05
V(Y[t],d=3,D=1)	0.000509024390243894	Range	0.0999999999999994	Trim Var.	0.000224621212121209
V(Y[t],d=0,D=2)	0.00538064516129033	Range	0.22	Trim Var.	0.00358840579710145
V(Y[t],d=1,D=2)	0.000538064516129031	Range	0.11	Trim Var.	0.000203703703703701
V(Y[t],d=2,D=2)	0.000646436781609188	Range	0.119999999999999	Trim Var.	0.000333333333333327
V(Y[t],d=3,D=2)	0.00168916256157633	Range	0.169999999999999	Trim Var.	0.00101233333333332

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.00710909090909092 & Range & 0.23 & Trim Var. & 0.00618364361702129 \tabularnewline
V(Y[t],d=1,D=0) & 7.29292929292925e-05 & Range & 0.0499999999999998 & Trim Var. & 2.31292517006801e-05 \tabularnewline
V(Y[t],d=2,D=0) & 9.61914744933597e-05 & Range & 0.05 & Trim Var. & 3.83903792784455e-05 \tabularnewline
V(Y[t],d=3,D=0) & 0.000261393323657469 & Range & 0.0799999999999992 & Trim Var. & 0.000117206290471784 \tabularnewline
V(Y[t],d=0,D=1) & 0.00295031712473573 & Range & 0.15 & Trim Var. & 0.00197692307692308 \tabularnewline
V(Y[t],d=1,D=1) & 0.000162901439645625 & Range & 0.07 & Trim Var. & 4.8798798798798e-05 \tabularnewline
V(Y[t],d=2,D=1) & 0.000197502903600462 & Range & 0.0699999999999998 & Trim Var. & 9.66131907308358e-05 \tabularnewline
V(Y[t],d=3,D=1) & 0.000509024390243894 & Range & 0.0999999999999994 & Trim Var. & 0.000224621212121209 \tabularnewline
V(Y[t],d=0,D=2) & 0.00538064516129033 & Range & 0.22 & Trim Var. & 0.00358840579710145 \tabularnewline
V(Y[t],d=1,D=2) & 0.000538064516129031 & Range & 0.11 & Trim Var. & 0.000203703703703701 \tabularnewline
V(Y[t],d=2,D=2) & 0.000646436781609188 & Range & 0.119999999999999 & Trim Var. & 0.000333333333333327 \tabularnewline
V(Y[t],d=3,D=2) & 0.00168916256157633 & Range & 0.169999999999999 & Trim Var. & 0.00101233333333332 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105577&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.00710909090909092[/C][C]Range[/C][C]0.23[/C][C]Trim Var.[/C][C]0.00618364361702129[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]7.29292929292925e-05[/C][C]Range[/C][C]0.0499999999999998[/C][C]Trim Var.[/C][C]2.31292517006801e-05[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]9.61914744933597e-05[/C][C]Range[/C][C]0.05[/C][C]Trim Var.[/C][C]3.83903792784455e-05[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.000261393323657469[/C][C]Range[/C][C]0.0799999999999992[/C][C]Trim Var.[/C][C]0.000117206290471784[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.00295031712473573[/C][C]Range[/C][C]0.15[/C][C]Trim Var.[/C][C]0.00197692307692308[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.000162901439645625[/C][C]Range[/C][C]0.07[/C][C]Trim Var.[/C][C]4.8798798798798e-05[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.000197502903600462[/C][C]Range[/C][C]0.0699999999999998[/C][C]Trim Var.[/C][C]9.66131907308358e-05[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.000509024390243894[/C][C]Range[/C][C]0.0999999999999994[/C][C]Trim Var.[/C][C]0.000224621212121209[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.00538064516129033[/C][C]Range[/C][C]0.22[/C][C]Trim Var.[/C][C]0.00358840579710145[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.000538064516129031[/C][C]Range[/C][C]0.11[/C][C]Trim Var.[/C][C]0.000203703703703701[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.000646436781609188[/C][C]Range[/C][C]0.119999999999999[/C][C]Trim Var.[/C][C]0.000333333333333327[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.00168916256157633[/C][C]Range[/C][C]0.169999999999999[/C][C]Trim Var.[/C][C]0.00101233333333332[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105577&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)	0.00710909090909092	Range	0.23	Trim Var.	0.00618364361702129
V(Y[t],d=1,D=0)	7.29292929292925e-05	Range	0.0499999999999998	Trim Var.	2.31292517006801e-05
V(Y[t],d=2,D=0)	9.61914744933597e-05	Range	0.05	Trim Var.	3.83903792784455e-05
V(Y[t],d=3,D=0)	0.000261393323657469	Range	0.0799999999999992	Trim Var.	0.000117206290471784
V(Y[t],d=0,D=1)	0.00295031712473573	Range	0.15	Trim Var.	0.00197692307692308
V(Y[t],d=1,D=1)	0.000162901439645625	Range	0.07	Trim Var.	4.8798798798798e-05
V(Y[t],d=2,D=1)	0.000197502903600462	Range	0.0699999999999998	Trim Var.	9.66131907308358e-05
V(Y[t],d=3,D=1)	0.000509024390243894	Range	0.0999999999999994	Trim Var.	0.000224621212121209
V(Y[t],d=0,D=2)	0.00538064516129033	Range	0.22	Trim Var.	0.00358840579710145
V(Y[t],d=1,D=2)	0.000538064516129031	Range	0.11	Trim Var.	0.000203703703703701
V(Y[t],d=2,D=2)	0.000646436781609188	Range	0.119999999999999	Trim Var.	0.000333333333333327
V(Y[t],d=3,D=2)	0.00168916256157633	Range	0.169999999999999	Trim Var.	0.00101233333333332

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')

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code