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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 computationSun, 20 Nov 2016 14:05:14 +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/20/t1479648520v3wvmkdfkru2uny.htm/, Retrieved Mon, 06 May 2024 07:44:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296866, Retrieved Mon, 06 May 2024 07:44:39 +0000
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Original text written by user:D=0 en d=1 er is dus sprake van een lange termijn trend. KAN JE ZIEN door dat trim. var daar het laagste is !!
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Skewness and Kurtosis Test] [F1 competitie n 1...] [2016-11-18 16:59:44] [95b24d8e95676a05c34b365fb6729343]
- RM      [Variance Reduction Matrix] [F1 competitie var...] [2016-11-20 13:05:14] [673dd365cbcfe0c4e35658a2fe545652] [Current]
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Dataseries X:
3106.78
3235.94
2998.12
2896.3
2952
3060.24
2988.32
2889
2881.82
2969.22
3026.2
3146.08
3032.48
2719.74
2785.18
2797.28
2783.7
2822.84
2835.8
2823.22
2879.14
3003.5
2910.7
2895.54
2982.36
3087.2
3195.28
3272.72
3390.6
3676.12
4052.18
4431.2
4554.96
4279.7
4391.86
4482.82
4530.68
4580.66
4623.5
4720.14
4811.82
4980.18
5174.28
5181.24




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=296866&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=296866&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296866&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)646921Range2461.5Trim Var.494489
V(Y[t],d=1,D=0)19104.4Range691.76Trim Var.5896.2
V(Y[t],d=2,D=0)24737.1Range786.44Trim Var.9550.77
V(Y[t],d=3,D=0)53994.8Range1217.96Trim Var.14886.2
V(Y[t],d=0,D=1)547161Range2192.02Trim Var.474914
V(Y[t],d=1,D=1)44836.6Range859.48Trim Var.25274.7
V(Y[t],d=2,D=1)61903.3Range1212.62Trim Var.20324.7
V(Y[t],d=3,D=1)124293Range2006.54Trim Var.33806.9
V(Y[t],d=0,D=2)460347Range2695.76Trim Var.276611
V(Y[t],d=1,D=2)154688Range1623.14Trim Var.90449.8
V(Y[t],d=2,D=2)159534Range1911.42Trim Var.58194.7
V(Y[t],d=3,D=2)307755Range2237.04Trim Var.168818

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 646921 & Range & 2461.5 & Trim Var. & 494489 \tabularnewline
V(Y[t],d=1,D=0) & 19104.4 & Range & 691.76 & Trim Var. & 5896.2 \tabularnewline
V(Y[t],d=2,D=0) & 24737.1 & Range & 786.44 & Trim Var. & 9550.77 \tabularnewline
V(Y[t],d=3,D=0) & 53994.8 & Range & 1217.96 & Trim Var. & 14886.2 \tabularnewline
V(Y[t],d=0,D=1) & 547161 & Range & 2192.02 & Trim Var. & 474914 \tabularnewline
V(Y[t],d=1,D=1) & 44836.6 & Range & 859.48 & Trim Var. & 25274.7 \tabularnewline
V(Y[t],d=2,D=1) & 61903.3 & Range & 1212.62 & Trim Var. & 20324.7 \tabularnewline
V(Y[t],d=3,D=1) & 124293 & Range & 2006.54 & Trim Var. & 33806.9 \tabularnewline
V(Y[t],d=0,D=2) & 460347 & Range & 2695.76 & Trim Var. & 276611 \tabularnewline
V(Y[t],d=1,D=2) & 154688 & Range & 1623.14 & Trim Var. & 90449.8 \tabularnewline
V(Y[t],d=2,D=2) & 159534 & Range & 1911.42 & Trim Var. & 58194.7 \tabularnewline
V(Y[t],d=3,D=2) & 307755 & Range & 2237.04 & Trim Var. & 168818 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296866&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]646921[/C][C]Range[/C][C]2461.5[/C][C]Trim Var.[/C][C]494489[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]19104.4[/C][C]Range[/C][C]691.76[/C][C]Trim Var.[/C][C]5896.2[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]24737.1[/C][C]Range[/C][C]786.44[/C][C]Trim Var.[/C][C]9550.77[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]53994.8[/C][C]Range[/C][C]1217.96[/C][C]Trim Var.[/C][C]14886.2[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]547161[/C][C]Range[/C][C]2192.02[/C][C]Trim Var.[/C][C]474914[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]44836.6[/C][C]Range[/C][C]859.48[/C][C]Trim Var.[/C][C]25274.7[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]61903.3[/C][C]Range[/C][C]1212.62[/C][C]Trim Var.[/C][C]20324.7[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]124293[/C][C]Range[/C][C]2006.54[/C][C]Trim Var.[/C][C]33806.9[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]460347[/C][C]Range[/C][C]2695.76[/C][C]Trim Var.[/C][C]276611[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]154688[/C][C]Range[/C][C]1623.14[/C][C]Trim Var.[/C][C]90449.8[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]159534[/C][C]Range[/C][C]1911.42[/C][C]Trim Var.[/C][C]58194.7[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]307755[/C][C]Range[/C][C]2237.04[/C][C]Trim Var.[/C][C]168818[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296866&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296866&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)646921Range2461.5Trim Var.494489
V(Y[t],d=1,D=0)19104.4Range691.76Trim Var.5896.2
V(Y[t],d=2,D=0)24737.1Range786.44Trim Var.9550.77
V(Y[t],d=3,D=0)53994.8Range1217.96Trim Var.14886.2
V(Y[t],d=0,D=1)547161Range2192.02Trim Var.474914
V(Y[t],d=1,D=1)44836.6Range859.48Trim Var.25274.7
V(Y[t],d=2,D=1)61903.3Range1212.62Trim Var.20324.7
V(Y[t],d=3,D=1)124293Range2006.54Trim Var.33806.9
V(Y[t],d=0,D=2)460347Range2695.76Trim Var.276611
V(Y[t],d=1,D=2)154688Range1623.14Trim Var.90449.8
V(Y[t],d=2,D=2)159534Range1911.42Trim Var.58194.7
V(Y[t],d=3,D=2)307755Range2237.04Trim Var.168818



Parameters (Session):
par1 = 8 ; par2 = 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()