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Description of Statistical Computation

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 computationSun, 18 Dec 2016 17:13:58 +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/18/t1482077699rssf728y2nl4mp3.htm/, Retrieved Fri, 01 Nov 2024 03:47:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301160, Retrieved Fri, 01 Nov 2024 03:47:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Structural Time Series Models] [Structural time s...] [2016-12-12 12:07:55] [e37f5c813d0dfcb3787d64bb91655c98]
- RMP     [Variance Reduction Matrix] [VRM F1] [2016-12-18 16:13:58] [10299735033611e1e2dae6371997f8c9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3567.2
3968.25
4285.35
4130.95
4219.4
4626.2
3860.75
4174.15
4668.65
4630.05
4553.7
4603.85
4310.7
4831.3
5145.3
4886.65
4934.05
5304.7
4419.45
4804.85
5105
5132.6
4982.5
4906.7
4506.4
5010.85
5392.25
5049.7
5143.9
5449.9
4520.4
4936.95
5358.55
5289.5
5123.55
4985.65
4682.65
5175.55
5374.7
5289
5176.15
5604.25
4608.8
4898.15
5448.65
5373.05
5078.6
5233.4
4629.2
5387.8
5736.65
5357.9
5337.95
5795.5
4804.05
5120.5
5850.45
5734.75
5539
5582.85
4983.1
5672
6185.8
5835.6
5930.4
6444.65
5171.05
5739.1
6413.9
6230.2
6015.45
6174.25
5579.25
6133.45
6478.7
6184.4
6185.65
6556
5123.25
6028.9
6499.95
6190.05
6027.95
6034
5128.75
6087.7
6628.15
6075.3
6352.1
6824
5412.35
6171.25
6521.35
6457.6
5930.95
5842.7
5120.1
5719.95
5946.7
5921.1
6072
6489.4
5291.15
5986.45
6538.15
6442.8
6169.55
5793
5254.85
6050.75
6606.15
6221.15
6293.4
6908.4
5498.95
6145.35

Tables (Output of Computation)





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=301160&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=301160&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301160&T=0

As an alternative you can also use a QR Code:  
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)515557Range3341.2Trim Var.358043
V(Y[t],d=1,D=0)279310Range2391.7Trim Var.171359
V(Y[t],d=2,D=0)760337Range4362.85Trim Var.418204
V(Y[t],d=3,D=0)2286590Range6914.5Trim Var.1366810
V(Y[t],d=0,D=1)78633.1Range1544.5Trim Var.43145.7
V(Y[t],d=1,D=1)31509.5Range891.8Trim Var.18993.5
V(Y[t],d=2,D=1)86419.7Range1529Trim Var.46727.7
V(Y[t],d=3,D=1)274256Range2654.9Trim Var.166191
V(Y[t],d=0,D=2)154884Range2387.55Trim Var.93219.2
V(Y[t],d=1,D=2)91475.8Range1672.45Trim Var.50672.6
V(Y[t],d=2,D=2)250501Range2823.7Trim Var.135644
V(Y[t],d=3,D=2)779867Range4944.85Trim Var.469412

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 515557 & Range & 3341.2 & Trim Var. & 358043 \tabularnewline
V(Y[t],d=1,D=0) & 279310 & Range & 2391.7 & Trim Var. & 171359 \tabularnewline
V(Y[t],d=2,D=0) & 760337 & Range & 4362.85 & Trim Var. & 418204 \tabularnewline
V(Y[t],d=3,D=0) & 2286590 & Range & 6914.5 & Trim Var. & 1366810 \tabularnewline
V(Y[t],d=0,D=1) & 78633.1 & Range & 1544.5 & Trim Var. & 43145.7 \tabularnewline
V(Y[t],d=1,D=1) & 31509.5 & Range & 891.8 & Trim Var. & 18993.5 \tabularnewline
V(Y[t],d=2,D=1) & 86419.7 & Range & 1529 & Trim Var. & 46727.7 \tabularnewline
V(Y[t],d=3,D=1) & 274256 & Range & 2654.9 & Trim Var. & 166191 \tabularnewline
V(Y[t],d=0,D=2) & 154884 & Range & 2387.55 & Trim Var. & 93219.2 \tabularnewline
V(Y[t],d=1,D=2) & 91475.8 & Range & 1672.45 & Trim Var. & 50672.6 \tabularnewline
V(Y[t],d=2,D=2) & 250501 & Range & 2823.7 & Trim Var. & 135644 \tabularnewline
V(Y[t],d=3,D=2) & 779867 & Range & 4944.85 & Trim Var. & 469412 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301160&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]515557[/C][C]Range[/C][C]3341.2[/C][C]Trim Var.[/C][C]358043[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]279310[/C][C]Range[/C][C]2391.7[/C][C]Trim Var.[/C][C]171359[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]760337[/C][C]Range[/C][C]4362.85[/C][C]Trim Var.[/C][C]418204[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2286590[/C][C]Range[/C][C]6914.5[/C][C]Trim Var.[/C][C]1366810[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]78633.1[/C][C]Range[/C][C]1544.5[/C][C]Trim Var.[/C][C]43145.7[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]31509.5[/C][C]Range[/C][C]891.8[/C][C]Trim Var.[/C][C]18993.5[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]86419.7[/C][C]Range[/C][C]1529[/C][C]Trim Var.[/C][C]46727.7[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]274256[/C][C]Range[/C][C]2654.9[/C][C]Trim Var.[/C][C]166191[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]154884[/C][C]Range[/C][C]2387.55[/C][C]Trim Var.[/C][C]93219.2[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]91475.8[/C][C]Range[/C][C]1672.45[/C][C]Trim Var.[/C][C]50672.6[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]250501[/C][C]Range[/C][C]2823.7[/C][C]Trim Var.[/C][C]135644[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]779867[/C][C]Range[/C][C]4944.85[/C][C]Trim Var.[/C][C]469412[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301160&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301160&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Variance Reduction Matrix
V(Y[t],d=0,D=0)515557Range3341.2Trim Var.358043
V(Y[t],d=1,D=0)279310Range2391.7Trim Var.171359
V(Y[t],d=2,D=0)760337Range4362.85Trim Var.418204
V(Y[t],d=3,D=0)2286590Range6914.5Trim Var.1366810
V(Y[t],d=0,D=1)78633.1Range1544.5Trim Var.43145.7
V(Y[t],d=1,D=1)31509.5Range891.8Trim Var.18993.5
V(Y[t],d=2,D=1)86419.7Range1529Trim Var.46727.7
V(Y[t],d=3,D=1)274256Range2654.9Trim Var.166191
V(Y[t],d=0,D=2)154884Range2387.55Trim Var.93219.2
V(Y[t],d=1,D=2)91475.8Range1672.45Trim Var.50672.6
V(Y[t],d=2,D=2)250501Range2823.7Trim Var.135644
V(Y[t],d=3,D=2)779867Range4944.85Trim Var.469412


Figures (Output of Computation)

Input Parameters & R Code

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()