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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 computationMon, 17 Dec 2018 13:53:22 +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/2018/Dec/17/t15450512391xomx48nvd9t5oi.htm/, Retrieved Thu, 02 May 2024 01:02:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315914, Retrieved Thu, 02 May 2024 01:02:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVRM van bedrijf x60
Estimated Impact105

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [VRM bedrijf 3] [2018-12-17 12:53:22] [47345ce27c85849acb4e002f9fcbccb4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.1
105
120.3
97
109.9
111.7
74
82.8
116.1
117.6
112.2
100
95.4
102.3
118.3
98.2
119
112.8
73.3
89
111.8
115.4
111.2
99.9
95.2
99.8
108.5
102.7
100.7
107.9
78.5
75.3
110.4
110.5
93.4
92.7
92.2
93.3
95.5
100.6
89.3
96
80
79.1
112.4
110.2
93.3
95.3
86.5
94.1
108.2
91.3
84.9
105.9
81
78.8
111.7
105.3
98.8
100.3
84.5
94.1
102.5
96.8
93.4
111
71.5
81.2
117.3
104.8
116.9
105.9
96.8
101.6
116.2
100.3
107.7
108.4
75.1
88.3
115.4
116.4
109.5
101.8
91.9
96.5
111.5
91.7
99
112
74.4
92.8
115.9
126.6
112
106.6
85.8
95.6
106
105.3
100
106.4
84.5
82.9
118.3
124.8
88.5
86.7
82
84.6
98.9
90.3
86.6
103.9
71.7
78.7
108.5
102.9
98.7
95
83.2
86.3
108.8
93.8
87.9
110.6
84.6
83.3
115.9
112.4
111.8
121.4
96.8
108.7
124.4
97.2
117.3
105.3
94.9
101.4
130.6
110.4
112.3
107.8
100.9
116.7
126.5
104.7
109.6
131.5
93.3
97.1
122.6
119
117.5
104.1
94.1
103.5
111.3
110.7
107.7
108.5
85.4
83.2
105.4
111.8
104
102.1
92
102.5
109.1
98.5
95.1
101.6
84.4
78.7
114.7
116.4
93.2
106
87.9
97.5
108.2
103.5
93.1
113.7
73.2
77.3
107.1
106.9
96.6
101
87.5
101.8
110.8
96.3
97.9
114.8
77.4
87
106.6
101.8
96.6
96.4
85.4
88.9
108.6
86.7
90.7
105.1
76.8
78.7

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=315914&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=315914&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315914&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)167.253Range60Trim Var.113.581
V(Y[t],d=1,D=0)264.66Range76.6Trim Var.152.748
V(Y[t],d=2,D=0)664.584Range117.1Trim Var.452.767
V(Y[t],d=3,D=0)1903.12Range198.7Trim Var.1246.41
V(Y[t],d=0,D=1)80.3747Range52.9Trim Var.45.5883
V(Y[t],d=1,D=1)110.581Range68.6Trim Var.63.0788
V(Y[t],d=2,D=1)338.004Range112Trim Var.195.551
V(Y[t],d=3,D=1)1130.52Range221.8Trim Var.668.998
V(Y[t],d=0,D=2)194.726Range82.9Trim Var.112.491
V(Y[t],d=1,D=2)305.527Range123.6Trim Var.160.765
V(Y[t],d=2,D=2)926.507Range221.8Trim Var.519.686
V(Y[t],d=3,D=2)3084.97Range390.4Trim Var.1710.16

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 167.253 & Range & 60 & Trim Var. & 113.581 \tabularnewline
V(Y[t],d=1,D=0) & 264.66 & Range & 76.6 & Trim Var. & 152.748 \tabularnewline
V(Y[t],d=2,D=0) & 664.584 & Range & 117.1 & Trim Var. & 452.767 \tabularnewline
V(Y[t],d=3,D=0) & 1903.12 & Range & 198.7 & Trim Var. & 1246.41 \tabularnewline
V(Y[t],d=0,D=1) & 80.3747 & Range & 52.9 & Trim Var. & 45.5883 \tabularnewline
V(Y[t],d=1,D=1) & 110.581 & Range & 68.6 & Trim Var. & 63.0788 \tabularnewline
V(Y[t],d=2,D=1) & 338.004 & Range & 112 & Trim Var. & 195.551 \tabularnewline
V(Y[t],d=3,D=1) & 1130.52 & Range & 221.8 & Trim Var. & 668.998 \tabularnewline
V(Y[t],d=0,D=2) & 194.726 & Range & 82.9 & Trim Var. & 112.491 \tabularnewline
V(Y[t],d=1,D=2) & 305.527 & Range & 123.6 & Trim Var. & 160.765 \tabularnewline
V(Y[t],d=2,D=2) & 926.507 & Range & 221.8 & Trim Var. & 519.686 \tabularnewline
V(Y[t],d=3,D=2) & 3084.97 & Range & 390.4 & Trim Var. & 1710.16 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315914&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]167.253[/C][C]Range[/C][C]60[/C][C]Trim Var.[/C][C]113.581[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]264.66[/C][C]Range[/C][C]76.6[/C][C]Trim Var.[/C][C]152.748[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]664.584[/C][C]Range[/C][C]117.1[/C][C]Trim Var.[/C][C]452.767[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1903.12[/C][C]Range[/C][C]198.7[/C][C]Trim Var.[/C][C]1246.41[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]80.3747[/C][C]Range[/C][C]52.9[/C][C]Trim Var.[/C][C]45.5883[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]110.581[/C][C]Range[/C][C]68.6[/C][C]Trim Var.[/C][C]63.0788[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]338.004[/C][C]Range[/C][C]112[/C][C]Trim Var.[/C][C]195.551[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1130.52[/C][C]Range[/C][C]221.8[/C][C]Trim Var.[/C][C]668.998[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]194.726[/C][C]Range[/C][C]82.9[/C][C]Trim Var.[/C][C]112.491[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]305.527[/C][C]Range[/C][C]123.6[/C][C]Trim Var.[/C][C]160.765[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]926.507[/C][C]Range[/C][C]221.8[/C][C]Trim Var.[/C][C]519.686[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]3084.97[/C][C]Range[/C][C]390.4[/C][C]Trim Var.[/C][C]1710.16[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315914&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315914&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)167.253Range60Trim Var.113.581
V(Y[t],d=1,D=0)264.66Range76.6Trim Var.152.748
V(Y[t],d=2,D=0)664.584Range117.1Trim Var.452.767
V(Y[t],d=3,D=0)1903.12Range198.7Trim Var.1246.41
V(Y[t],d=0,D=1)80.3747Range52.9Trim Var.45.5883
V(Y[t],d=1,D=1)110.581Range68.6Trim Var.63.0788
V(Y[t],d=2,D=1)338.004Range112Trim Var.195.551
V(Y[t],d=3,D=1)1130.52Range221.8Trim Var.668.998
V(Y[t],d=0,D=2)194.726Range82.9Trim Var.112.491
V(Y[t],d=1,D=2)305.527Range123.6Trim Var.160.765
V(Y[t],d=2,D=2)926.507Range221.8Trim Var.519.686
V(Y[t],d=3,D=2)3084.97Range390.4Trim Var.1710.16


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()