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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 computationFri, 23 Dec 2016 10:50:38 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/23/t1482486878wipcennqc7gj8gc.htm/, Retrieved Wed, 08 May 2024 00:38:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302827, Retrieved Wed, 08 May 2024 00:38:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [variance reductio...] [2016-12-23 09:50:38] [bd7223969ac5b08f41438741a34686d6] [Current]
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Dataseries X:
99
102
100
98
98
99
100
99
100
99
101
104
100
101
99
100
102
99
99
100
99
105
100
101
100
101
99
100
100
100
100
101
101
100
99
101
101
101
100
100
100
101
98
99
100
101
100
100
99
100
99
101
98
100
99
103
105
100
101
100
99
100
99
105
99
102
100
100
99
102
99
101
100
100
99
101
100
100
98
99
99
98
105
98
100
101
101
100
101
102
100
100
99
102
102
98
100
101
98
99
99
101
100
99
99
101
99




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302827&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=302827&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302827&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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center







Variance Reduction Matrix
V(Y[t],d=0,D=0)2.22271Range7Trim Var.0.840301
V(Y[t],d=1,D=0)4.95238Range14Trim Var.1.89402
V(Y[t],d=2,D=0)15.4689Range23Trim Var.6.46227
V(Y[t],d=3,D=0)52.9805Range45Trim Var.24.1638
V(Y[t],d=0,D=1)4.36954Range12Trim Var.1.3375
V(Y[t],d=1,D=1)9.05193Range19Trim Var.3.58988
V(Y[t],d=2,D=1)27.8478Range33Trim Var.11.452
V(Y[t],d=3,D=1)95.2187Range64Trim Var.39.0318
V(Y[t],d=0,D=2)13.6109Range19Trim Var.5.77465
V(Y[t],d=1,D=2)28.8517Range31Trim Var.9.94245
V(Y[t],d=2,D=2)90.2611Range55Trim Var.32.1759
V(Y[t],d=3,D=2)310.711Range106Trim Var.128.365

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 2.22271 & Range & 7 & Trim Var. & 0.840301 \tabularnewline
V(Y[t],d=1,D=0) & 4.95238 & Range & 14 & Trim Var. & 1.89402 \tabularnewline
V(Y[t],d=2,D=0) & 15.4689 & Range & 23 & Trim Var. & 6.46227 \tabularnewline
V(Y[t],d=3,D=0) & 52.9805 & Range & 45 & Trim Var. & 24.1638 \tabularnewline
V(Y[t],d=0,D=1) & 4.36954 & Range & 12 & Trim Var. & 1.3375 \tabularnewline
V(Y[t],d=1,D=1) & 9.05193 & Range & 19 & Trim Var. & 3.58988 \tabularnewline
V(Y[t],d=2,D=1) & 27.8478 & Range & 33 & Trim Var. & 11.452 \tabularnewline
V(Y[t],d=3,D=1) & 95.2187 & Range & 64 & Trim Var. & 39.0318 \tabularnewline
V(Y[t],d=0,D=2) & 13.6109 & Range & 19 & Trim Var. & 5.77465 \tabularnewline
V(Y[t],d=1,D=2) & 28.8517 & Range & 31 & Trim Var. & 9.94245 \tabularnewline
V(Y[t],d=2,D=2) & 90.2611 & Range & 55 & Trim Var. & 32.1759 \tabularnewline
V(Y[t],d=3,D=2) & 310.711 & Range & 106 & Trim Var. & 128.365 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302827&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]2.22271[/C][C]Range[/C][C]7[/C][C]Trim Var.[/C][C]0.840301[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]4.95238[/C][C]Range[/C][C]14[/C][C]Trim Var.[/C][C]1.89402[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]15.4689[/C][C]Range[/C][C]23[/C][C]Trim Var.[/C][C]6.46227[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]52.9805[/C][C]Range[/C][C]45[/C][C]Trim Var.[/C][C]24.1638[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]4.36954[/C][C]Range[/C][C]12[/C][C]Trim Var.[/C][C]1.3375[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]9.05193[/C][C]Range[/C][C]19[/C][C]Trim Var.[/C][C]3.58988[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]27.8478[/C][C]Range[/C][C]33[/C][C]Trim Var.[/C][C]11.452[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]95.2187[/C][C]Range[/C][C]64[/C][C]Trim Var.[/C][C]39.0318[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]13.6109[/C][C]Range[/C][C]19[/C][C]Trim Var.[/C][C]5.77465[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]28.8517[/C][C]Range[/C][C]31[/C][C]Trim Var.[/C][C]9.94245[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]90.2611[/C][C]Range[/C][C]55[/C][C]Trim Var.[/C][C]32.1759[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]310.711[/C][C]Range[/C][C]106[/C][C]Trim Var.[/C][C]128.365[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302827&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302827&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)2.22271Range7Trim Var.0.840301
V(Y[t],d=1,D=0)4.95238Range14Trim Var.1.89402
V(Y[t],d=2,D=0)15.4689Range23Trim Var.6.46227
V(Y[t],d=3,D=0)52.9805Range45Trim Var.24.1638
V(Y[t],d=0,D=1)4.36954Range12Trim Var.1.3375
V(Y[t],d=1,D=1)9.05193Range19Trim Var.3.58988
V(Y[t],d=2,D=1)27.8478Range33Trim Var.11.452
V(Y[t],d=3,D=1)95.2187Range64Trim Var.39.0318
V(Y[t],d=0,D=2)13.6109Range19Trim Var.5.77465
V(Y[t],d=1,D=2)28.8517Range31Trim Var.9.94245
V(Y[t],d=2,D=2)90.2611Range55Trim Var.32.1759
V(Y[t],d=3,D=2)310.711Range106Trim Var.128.365



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
n.orig <- length(x)
x <- na.omit(x)
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)
if(n.orig!=n) {
a<-table.row.start(a)
a<-table.element(a,'Warning: NAs were removed from the time series! The results shown below will only be correct if the NAs are all located at the start and/or end of the time series.',6,F)
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(myx,lag=1,differences=smalld)
if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd)
a<-table.element(a,signif(var(myx), digits=6))
a<-table.element(a,'Range',header=TRUE)
a<-table.element(a,signif(max(myx)-min(myx), digits=6))
a<-table.element(a,'Trim Var.',header=TRUE)
smyx <- sort(myx)
sn <- length(smyx)
a<-table.element(a,signif(var(smyx[smyx>quantile(smyx,0.05) & smyxa<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')
bitmap(file='pic0.png')
op <- par(mfrow=c(2,2))
plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0')
plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0')
plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1')
plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1')
par(op)
dev.off()