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Author*The author of this computation has been verified*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationFri, 27 Nov 2009 15:55:17 -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/Nov/28/t1259363134vl4ubl7ftri2akf.htm/, Retrieved Fri, 03 May 2024 03:56:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61331, Retrieved Fri, 03 May 2024 03:56:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [variantie] [2009-11-27 22:55:17] [b42c0aeada8a5fa89825c81e73c10645] [Current]
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Dataseries X:
12.3
14.6
17.7
15.2
22.3
14.8
10
2.9
5.6
16.1
23.7
26.5
20.9
15.9
13
7.8
17.5
24.4
33.7
32.3
33.4
22.2
21.7
12.8
15.2
17.1
17.6
17.5
14.7
12.9
12
11.1
12.3
18.9
24
29.6
30.9
33
34.9
40.1
30.8
31
23.8
30.8
27.6
30.2
22.2
19.9
18.3
15.2
10.1
6.5
1.9
2
4.3
4.8
4.9
2.1
5.5
10.6




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61331&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61331&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61331&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'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)94.4230056497175Range38.2Trim Var.71.3582704402516
V(Y[t],d=1,D=0)25.3586382232613Range21.7Trim Var.17.0926705370102
V(Y[t],d=2,D=0)42.9190320629159Range29.5Trim Var.25.8863197586727
V(Y[t],d=3,D=0)135.417781954887Range48.4Trim Var.89.3208
V(Y[t],d=0,D=1)297.099250886525Range63Trim Var.218.975383275261
V(Y[t],d=1,D=1)70.5498427382054Range39.5Trim Var.42.790256097561
V(Y[t],d=2,D=1)96.7371642512077Range39.8Trim Var.61.5240769230769
V(Y[t],d=3,D=1)289.512404040404Range63.6Trim Var.211.426410256410
V(Y[t],d=0,D=2)871.463642857143Range97.1Trim Var.709.078024193548
V(Y[t],d=1,D=2)224.836352941176Range63.8Trim Var.142.646731182796
V(Y[t],d=2,D=2)272.444679144385Range73.1Trim Var.163.194816091954
V(Y[t],d=3,D=2)798.300416666667Range115.9Trim Var.534.85118226601

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 94.4230056497175 & Range & 38.2 & Trim Var. & 71.3582704402516 \tabularnewline
V(Y[t],d=1,D=0) & 25.3586382232613 & Range & 21.7 & Trim Var. & 17.0926705370102 \tabularnewline
V(Y[t],d=2,D=0) & 42.9190320629159 & Range & 29.5 & Trim Var. & 25.8863197586727 \tabularnewline
V(Y[t],d=3,D=0) & 135.417781954887 & Range & 48.4 & Trim Var. & 89.3208 \tabularnewline
V(Y[t],d=0,D=1) & 297.099250886525 & Range & 63 & Trim Var. & 218.975383275261 \tabularnewline
V(Y[t],d=1,D=1) & 70.5498427382054 & Range & 39.5 & Trim Var. & 42.790256097561 \tabularnewline
V(Y[t],d=2,D=1) & 96.7371642512077 & Range & 39.8 & Trim Var. & 61.5240769230769 \tabularnewline
V(Y[t],d=3,D=1) & 289.512404040404 & Range & 63.6 & Trim Var. & 211.426410256410 \tabularnewline
V(Y[t],d=0,D=2) & 871.463642857143 & Range & 97.1 & Trim Var. & 709.078024193548 \tabularnewline
V(Y[t],d=1,D=2) & 224.836352941176 & Range & 63.8 & Trim Var. & 142.646731182796 \tabularnewline
V(Y[t],d=2,D=2) & 272.444679144385 & Range & 73.1 & Trim Var. & 163.194816091954 \tabularnewline
V(Y[t],d=3,D=2) & 798.300416666667 & Range & 115.9 & Trim Var. & 534.85118226601 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61331&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]94.4230056497175[/C][C]Range[/C][C]38.2[/C][C]Trim Var.[/C][C]71.3582704402516[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]25.3586382232613[/C][C]Range[/C][C]21.7[/C][C]Trim Var.[/C][C]17.0926705370102[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]42.9190320629159[/C][C]Range[/C][C]29.5[/C][C]Trim Var.[/C][C]25.8863197586727[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]135.417781954887[/C][C]Range[/C][C]48.4[/C][C]Trim Var.[/C][C]89.3208[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]297.099250886525[/C][C]Range[/C][C]63[/C][C]Trim Var.[/C][C]218.975383275261[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]70.5498427382054[/C][C]Range[/C][C]39.5[/C][C]Trim Var.[/C][C]42.790256097561[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]96.7371642512077[/C][C]Range[/C][C]39.8[/C][C]Trim Var.[/C][C]61.5240769230769[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]289.512404040404[/C][C]Range[/C][C]63.6[/C][C]Trim Var.[/C][C]211.426410256410[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]871.463642857143[/C][C]Range[/C][C]97.1[/C][C]Trim Var.[/C][C]709.078024193548[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]224.836352941176[/C][C]Range[/C][C]63.8[/C][C]Trim Var.[/C][C]142.646731182796[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]272.444679144385[/C][C]Range[/C][C]73.1[/C][C]Trim Var.[/C][C]163.194816091954[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]798.300416666667[/C][C]Range[/C][C]115.9[/C][C]Trim Var.[/C][C]534.85118226601[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61331&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61331&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)94.4230056497175Range38.2Trim Var.71.3582704402516
V(Y[t],d=1,D=0)25.3586382232613Range21.7Trim Var.17.0926705370102
V(Y[t],d=2,D=0)42.9190320629159Range29.5Trim Var.25.8863197586727
V(Y[t],d=3,D=0)135.417781954887Range48.4Trim Var.89.3208
V(Y[t],d=0,D=1)297.099250886525Range63Trim Var.218.975383275261
V(Y[t],d=1,D=1)70.5498427382054Range39.5Trim Var.42.790256097561
V(Y[t],d=2,D=1)96.7371642512077Range39.8Trim Var.61.5240769230769
V(Y[t],d=3,D=1)289.512404040404Range63.6Trim Var.211.426410256410
V(Y[t],d=0,D=2)871.463642857143Range97.1Trim Var.709.078024193548
V(Y[t],d=1,D=2)224.836352941176Range63.8Trim Var.142.646731182796
V(Y[t],d=2,D=2)272.444679144385Range73.1Trim Var.163.194816091954
V(Y[t],d=3,D=2)798.300416666667Range115.9Trim Var.534.85118226601



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')