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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 computationTue, 29 Nov 2016 21:55:29 +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/Nov/29/t1480453213x68pyu4d2jc9w7u.htm/, Retrieved Tue, 07 May 2024 06:48:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297291, Retrieved Tue, 07 May 2024 06:48:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD    [Variance Reduction Matrix] [VRM times series ...] [2016-11-29 20:55:29] [fd005a509166a1985dac46f39e8d81c5] [Current]
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Dataseries X:
6908
6694
6564
6800
6820
6752
6632
6756
6898
6844
6750
6892
7104
7022
6858
7018
7218
7134
7006
7160
7374
7276
7128
7272
7462
7366
7218
7366
7546
7464
7332
7502
7736
7628
7494
7668
7888
7774
7644
7826
8056
7990
7814
7978
8238
8138
8000
8176
8412
8332
8194
8354
8576
8500
8376
8538




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=297291&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=297291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297291&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)329967Range2012Trim Var.257497
V(Y[t],d=1,D=0)23947Range474Trim Var.21161.6
V(Y[t],d=2,D=0)47185.9Range726Trim Var.38037.9
V(Y[t],d=3,D=0)96494.8Range1032Trim Var.82802.7
V(Y[t],d=0,D=1)8417.95Range366Trim Var.5284.78
V(Y[t],d=1,D=1)1935.97Range256Trim Var.449.457
V(Y[t],d=2,D=1)4369.38Range452Trim Var.788.657
V(Y[t],d=3,D=1)11461Range750Trim Var.2027.64
V(Y[t],d=0,D=2)7369.03Range310Trim Var.5345.5
V(Y[t],d=1,D=2)3699.72Range296Trim Var.1360.41
V(Y[t],d=2,D=2)7519.66Range482Trim Var.2175.78
V(Y[t],d=3,D=2)18961.9Range760Trim Var.6211.91

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 329967 & Range & 2012 & Trim Var. & 257497 \tabularnewline
V(Y[t],d=1,D=0) & 23947 & Range & 474 & Trim Var. & 21161.6 \tabularnewline
V(Y[t],d=2,D=0) & 47185.9 & Range & 726 & Trim Var. & 38037.9 \tabularnewline
V(Y[t],d=3,D=0) & 96494.8 & Range & 1032 & Trim Var. & 82802.7 \tabularnewline
V(Y[t],d=0,D=1) & 8417.95 & Range & 366 & Trim Var. & 5284.78 \tabularnewline
V(Y[t],d=1,D=1) & 1935.97 & Range & 256 & Trim Var. & 449.457 \tabularnewline
V(Y[t],d=2,D=1) & 4369.38 & Range & 452 & Trim Var. & 788.657 \tabularnewline
V(Y[t],d=3,D=1) & 11461 & Range & 750 & Trim Var. & 2027.64 \tabularnewline
V(Y[t],d=0,D=2) & 7369.03 & Range & 310 & Trim Var. & 5345.5 \tabularnewline
V(Y[t],d=1,D=2) & 3699.72 & Range & 296 & Trim Var. & 1360.41 \tabularnewline
V(Y[t],d=2,D=2) & 7519.66 & Range & 482 & Trim Var. & 2175.78 \tabularnewline
V(Y[t],d=3,D=2) & 18961.9 & Range & 760 & Trim Var. & 6211.91 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297291&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]329967[/C][C]Range[/C][C]2012[/C][C]Trim Var.[/C][C]257497[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]23947[/C][C]Range[/C][C]474[/C][C]Trim Var.[/C][C]21161.6[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]47185.9[/C][C]Range[/C][C]726[/C][C]Trim Var.[/C][C]38037.9[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]96494.8[/C][C]Range[/C][C]1032[/C][C]Trim Var.[/C][C]82802.7[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]8417.95[/C][C]Range[/C][C]366[/C][C]Trim Var.[/C][C]5284.78[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]1935.97[/C][C]Range[/C][C]256[/C][C]Trim Var.[/C][C]449.457[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]4369.38[/C][C]Range[/C][C]452[/C][C]Trim Var.[/C][C]788.657[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]11461[/C][C]Range[/C][C]750[/C][C]Trim Var.[/C][C]2027.64[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]7369.03[/C][C]Range[/C][C]310[/C][C]Trim Var.[/C][C]5345.5[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]3699.72[/C][C]Range[/C][C]296[/C][C]Trim Var.[/C][C]1360.41[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]7519.66[/C][C]Range[/C][C]482[/C][C]Trim Var.[/C][C]2175.78[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]18961.9[/C][C]Range[/C][C]760[/C][C]Trim Var.[/C][C]6211.91[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297291&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)329967Range2012Trim Var.257497
V(Y[t],d=1,D=0)23947Range474Trim Var.21161.6
V(Y[t],d=2,D=0)47185.9Range726Trim Var.38037.9
V(Y[t],d=3,D=0)96494.8Range1032Trim Var.82802.7
V(Y[t],d=0,D=1)8417.95Range366Trim Var.5284.78
V(Y[t],d=1,D=1)1935.97Range256Trim Var.449.457
V(Y[t],d=2,D=1)4369.38Range452Trim Var.788.657
V(Y[t],d=3,D=1)11461Range750Trim Var.2027.64
V(Y[t],d=0,D=2)7369.03Range310Trim Var.5345.5
V(Y[t],d=1,D=2)3699.72Range296Trim Var.1360.41
V(Y[t],d=2,D=2)7519.66Range482Trim Var.2175.78
V(Y[t],d=3,D=2)18961.9Range760Trim Var.6211.91



Parameters (Session):
par1 = additive ; par2 = 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()