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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 computationThu, 22 Dec 2016 23:17:01 +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/22/t148244509448i5ox7xb3z0cc6.htm/, Retrieved Mon, 29 Apr 2024 07:20:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302717, Retrieved Mon, 29 Apr 2024 07:20:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [variance reductio...] [2016-12-22 22:17:01] [d92250bd36540c2281a4ec15b45df1dd] [Current]
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Dataseries X:
649
655
618
640
707
730
768
753
773
797
810
794
809
828
828
849
865
879
908
961




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=302717&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=302717&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302717&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)8690.79Range343Trim Var.6243.63
V(Y[t],d=1,D=0)554.591Range104Trim Var.285.632
V(Y[t],d=2,D=0)1000.84Range112Trim Var.716.129
V(Y[t],d=3,D=0)2695.56Range191Trim Var.1776.69
V(Y[t],d=0,D=1)840.411Range70Trim Var.686.167
V(Y[t],d=1,D=1)1432.81Range119Trim Var.377.2
V(Y[t],d=2,D=1)2341.77Range127Trim Var.1196
V(Y[t],d=3,D=1)4895.8Range154Trim Var.3830.33
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) & 8690.79 & Range & 343 & Trim Var. & 6243.63 \tabularnewline
V(Y[t],d=1,D=0) & 554.591 & Range & 104 & Trim Var. & 285.632 \tabularnewline
V(Y[t],d=2,D=0) & 1000.84 & Range & 112 & Trim Var. & 716.129 \tabularnewline
V(Y[t],d=3,D=0) & 2695.56 & Range & 191 & Trim Var. & 1776.69 \tabularnewline
V(Y[t],d=0,D=1) & 840.411 & Range & 70 & Trim Var. & 686.167 \tabularnewline
V(Y[t],d=1,D=1) & 1432.81 & Range & 119 & Trim Var. & 377.2 \tabularnewline
V(Y[t],d=2,D=1) & 2341.77 & Range & 127 & Trim Var. & 1196 \tabularnewline
V(Y[t],d=3,D=1) & 4895.8 & Range & 154 & Trim Var. & 3830.33 \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=302717&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]8690.79[/C][C]Range[/C][C]343[/C][C]Trim Var.[/C][C]6243.63[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]554.591[/C][C]Range[/C][C]104[/C][C]Trim Var.[/C][C]285.632[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]1000.84[/C][C]Range[/C][C]112[/C][C]Trim Var.[/C][C]716.129[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2695.56[/C][C]Range[/C][C]191[/C][C]Trim Var.[/C][C]1776.69[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]840.411[/C][C]Range[/C][C]70[/C][C]Trim Var.[/C][C]686.167[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]1432.81[/C][C]Range[/C][C]119[/C][C]Trim Var.[/C][C]377.2[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]2341.77[/C][C]Range[/C][C]127[/C][C]Trim Var.[/C][C]1196[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]4895.8[/C][C]Range[/C][C]154[/C][C]Trim Var.[/C][C]3830.33[/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=302717&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302717&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)8690.79Range343Trim Var.6243.63
V(Y[t],d=1,D=0)554.591Range104Trim Var.285.632
V(Y[t],d=2,D=0)1000.84Range112Trim Var.716.129
V(Y[t],d=3,D=0)2695.56Range191Trim Var.1776.69
V(Y[t],d=0,D=1)840.411Range70Trim Var.686.167
V(Y[t],d=1,D=1)1432.81Range119Trim Var.377.2
V(Y[t],d=2,D=1)2341.77Range127Trim Var.1196
V(Y[t],d=3,D=1)4895.8Range154Trim Var.3830.33
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 = 1 ; par2 = 2 ; par3 = 2 ; par4 = 1 ;
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()