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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, 16 Dec 2016 16:12:05 +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/16/t1481901164dlrjbvnbozokgs7.htm/, Retrieved Thu, 02 May 2024 17:32:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300347, Retrieved Thu, 02 May 2024 17:32:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ARIMA Backward Selection] [] [2016-12-16 13:36:55] [683f400e1b95307fc738e729f07c4fce]
-    D  [ARIMA Backward Selection] [] [2016-12-16 14:17:56] [683f400e1b95307fc738e729f07c4fce]
- R  D    [ARIMA Backward Selection] [] [2016-12-16 14:51:40] [683f400e1b95307fc738e729f07c4fce]
- RM D        [Variance Reduction Matrix] [] [2016-12-16 15:12:05] [404ac5ee4f7301873f6a96ef36861981] [Current]
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Dataseries X:
4591.48
4939.08
4898.89
4933.19
5165.89
5206.79
5282.09
4611.29
4457.38
4387.3
4742.6
4660.88
4774.8
4448.5




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300347&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300347&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300347&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 time1 seconds
R ServerBig Analytics Cloud Computing Center







Variance Reduction Matrix
V(Y[t],d=0,D=0)83965.6Range894.79Trim Var.62467.8
V(Y[t],d=1,D=0)76206.2Range1026.1Trim Var.33713.1
V(Y[t],d=2,D=0)148208Range1262.99Trim Var.91613.2
V(Y[t],d=3,D=0)448906Range2125.39Trim Var.265954
V(Y[t],d=0,D=1)227071Range673.9Trim Var.NA
V(Y[t],d=1,D=1)NARange0Trim Var.NA
V(Y[t],d=2,D=1)NARange-InfTrim Var.NA
V(Y[t],d=3,D=1)NARange-InfTrim Var.NA
V(Y[t],d=0,D=2)NARange-InfTrim Var.NA
V(Y[t],d=1,D=2)NARange-InfTrim Var.NA
V(Y[t],d=2,D=2)NARange-InfTrim Var.NA
V(Y[t],d=3,D=2)NARange-InfTrim Var.NA

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 83965.6 & Range & 894.79 & Trim Var. & 62467.8 \tabularnewline
V(Y[t],d=1,D=0) & 76206.2 & Range & 1026.1 & Trim Var. & 33713.1 \tabularnewline
V(Y[t],d=2,D=0) & 148208 & Range & 1262.99 & Trim Var. & 91613.2 \tabularnewline
V(Y[t],d=3,D=0) & 448906 & Range & 2125.39 & Trim Var. & 265954 \tabularnewline
V(Y[t],d=0,D=1) & 227071 & Range & 673.9 & Trim Var. & NA \tabularnewline
V(Y[t],d=1,D=1) & NA & Range & 0 & Trim Var. & NA \tabularnewline
V(Y[t],d=2,D=1) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
V(Y[t],d=3,D=1) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
V(Y[t],d=0,D=2) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
V(Y[t],d=1,D=2) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
V(Y[t],d=2,D=2) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
V(Y[t],d=3,D=2) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300347&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]83965.6[/C][C]Range[/C][C]894.79[/C][C]Trim Var.[/C][C]62467.8[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]76206.2[/C][C]Range[/C][C]1026.1[/C][C]Trim Var.[/C][C]33713.1[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]148208[/C][C]Range[/C][C]1262.99[/C][C]Trim Var.[/C][C]91613.2[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]448906[/C][C]Range[/C][C]2125.39[/C][C]Trim Var.[/C][C]265954[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]227071[/C][C]Range[/C][C]673.9[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]NA[/C][C]Range[/C][C]0[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300347&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300347&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)83965.6Range894.79Trim Var.62467.8
V(Y[t],d=1,D=0)76206.2Range1026.1Trim Var.33713.1
V(Y[t],d=2,D=0)148208Range1262.99Trim Var.91613.2
V(Y[t],d=3,D=0)448906Range2125.39Trim Var.265954
V(Y[t],d=0,D=1)227071Range673.9Trim Var.NA
V(Y[t],d=1,D=1)NARange0Trim Var.NA
V(Y[t],d=2,D=1)NARange-InfTrim Var.NA
V(Y[t],d=3,D=1)NARange-InfTrim Var.NA
V(Y[t],d=0,D=2)NARange-InfTrim Var.NA
V(Y[t],d=1,D=2)NARange-InfTrim Var.NA
V(Y[t],d=2,D=2)NARange-InfTrim Var.NA
V(Y[t],d=3,D=2)NARange-InfTrim Var.NA



Parameters (Session):
par1 = FALSE ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 1 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 0 ;
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()