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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 computationFri, 27 Nov 2009 14:40:05 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/27/t1259358045ng5w16npjpq9q3a.htm/, Retrieved Mon, 29 Apr 2024 20:42:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61295, Retrieved Mon, 29 Apr 2024 20:42:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [] [2009-11-27 21:40:05] [4c719cde102be108d35939b6cdb81c0f] [Current]
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Dataseries X:
95.6
74.3
88.5
88
84.3
112.8
105.3
97.2
112.4
123.2
143.7
205.1
102.8
89.4
90.7
101.1
93.6
119.3
106.4
105.2
106.5
117.6
144.2
195.5
109.5
84.9
102.9
93.9
104.6
115.2
104.9
114.9
115.1
126.4
156.7
197.3
116.1
89.1
107.8
100.4
113.6
128.3
113.3
113.7
116.1
133.6
167.7
214.6
120.3
106
103.9
118
116.3
134.8
117.8
123.3
125.2
135.8
158.9
217.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61295&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61295&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61295&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)1018.15230225989Range143.6Trim Var.553.721285814116
V(Y[t],d=1,D=0)1010.97338983051Range163.7Trim Var.408.220384615385
V(Y[t],d=2,D=0)2203.41221113128Range252.6Trim Var.792.238054298643
V(Y[t],d=3,D=0)6409.41994987469Range457.2Trim Var.2288.76851764706
V(Y[t],d=0,D=1)1010.97338983051Range163.7Trim Var.408.220384615385
V(Y[t],d=1,D=1)2203.41221113128Range252.6Trim Var.792.238054298643
V(Y[t],d=2,D=1)6409.41994987469Range457.2Trim Var.2288.76851764706
V(Y[t],d=3,D=1)20935.2594285714Range784Trim Var.8658.5375877551
V(Y[t],d=0,D=2)2203.41221113128Range252.6Trim Var.792.238054298643
V(Y[t],d=1,D=2)6409.41994987469Range457.2Trim Var.2288.76851764706
V(Y[t],d=2,D=2)20935.2594285714Range784Trim Var.8658.5375877551
V(Y[t],d=3,D=2)72493.7723030303Range1477Trim Var.30921.5377210885

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1018.15230225989 & Range & 143.6 & Trim Var. & 553.721285814116 \tabularnewline
V(Y[t],d=1,D=0) & 1010.97338983051 & Range & 163.7 & Trim Var. & 408.220384615385 \tabularnewline
V(Y[t],d=2,D=0) & 2203.41221113128 & Range & 252.6 & Trim Var. & 792.238054298643 \tabularnewline
V(Y[t],d=3,D=0) & 6409.41994987469 & Range & 457.2 & Trim Var. & 2288.76851764706 \tabularnewline
V(Y[t],d=0,D=1) & 1010.97338983051 & Range & 163.7 & Trim Var. & 408.220384615385 \tabularnewline
V(Y[t],d=1,D=1) & 2203.41221113128 & Range & 252.6 & Trim Var. & 792.238054298643 \tabularnewline
V(Y[t],d=2,D=1) & 6409.41994987469 & Range & 457.2 & Trim Var. & 2288.76851764706 \tabularnewline
V(Y[t],d=3,D=1) & 20935.2594285714 & Range & 784 & Trim Var. & 8658.5375877551 \tabularnewline
V(Y[t],d=0,D=2) & 2203.41221113128 & Range & 252.6 & Trim Var. & 792.238054298643 \tabularnewline
V(Y[t],d=1,D=2) & 6409.41994987469 & Range & 457.2 & Trim Var. & 2288.76851764706 \tabularnewline
V(Y[t],d=2,D=2) & 20935.2594285714 & Range & 784 & Trim Var. & 8658.5375877551 \tabularnewline
V(Y[t],d=3,D=2) & 72493.7723030303 & Range & 1477 & Trim Var. & 30921.5377210885 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61295&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1018.15230225989[/C][C]Range[/C][C]143.6[/C][C]Trim Var.[/C][C]553.721285814116[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]1010.97338983051[/C][C]Range[/C][C]163.7[/C][C]Trim Var.[/C][C]408.220384615385[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]2203.41221113128[/C][C]Range[/C][C]252.6[/C][C]Trim Var.[/C][C]792.238054298643[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]6409.41994987469[/C][C]Range[/C][C]457.2[/C][C]Trim Var.[/C][C]2288.76851764706[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1010.97338983051[/C][C]Range[/C][C]163.7[/C][C]Trim Var.[/C][C]408.220384615385[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]2203.41221113128[/C][C]Range[/C][C]252.6[/C][C]Trim Var.[/C][C]792.238054298643[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]6409.41994987469[/C][C]Range[/C][C]457.2[/C][C]Trim Var.[/C][C]2288.76851764706[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]20935.2594285714[/C][C]Range[/C][C]784[/C][C]Trim Var.[/C][C]8658.5375877551[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]2203.41221113128[/C][C]Range[/C][C]252.6[/C][C]Trim Var.[/C][C]792.238054298643[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]6409.41994987469[/C][C]Range[/C][C]457.2[/C][C]Trim Var.[/C][C]2288.76851764706[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]20935.2594285714[/C][C]Range[/C][C]784[/C][C]Trim Var.[/C][C]8658.5375877551[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]72493.7723030303[/C][C]Range[/C][C]1477[/C][C]Trim Var.[/C][C]30921.5377210885[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61295&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61295&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)1018.15230225989Range143.6Trim Var.553.721285814116
V(Y[t],d=1,D=0)1010.97338983051Range163.7Trim Var.408.220384615385
V(Y[t],d=2,D=0)2203.41221113128Range252.6Trim Var.792.238054298643
V(Y[t],d=3,D=0)6409.41994987469Range457.2Trim Var.2288.76851764706
V(Y[t],d=0,D=1)1010.97338983051Range163.7Trim Var.408.220384615385
V(Y[t],d=1,D=1)2203.41221113128Range252.6Trim Var.792.238054298643
V(Y[t],d=2,D=1)6409.41994987469Range457.2Trim Var.2288.76851764706
V(Y[t],d=3,D=1)20935.2594285714Range784Trim Var.8658.5375877551
V(Y[t],d=0,D=2)2203.41221113128Range252.6Trim Var.792.238054298643
V(Y[t],d=1,D=2)6409.41994987469Range457.2Trim Var.2288.76851764706
V(Y[t],d=2,D=2)20935.2594285714Range784Trim Var.8658.5375877551
V(Y[t],d=3,D=2)72493.7723030303Range1477Trim Var.30921.5377210885



Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 1 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
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)
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(x,lag=1,differences=smalld)
if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd)
a<-table.element(a,var(myx))
a<-table.element(a,'Range',header=TRUE)
a<-table.element(a,max(myx)-min(myx))
a<-table.element(a,'Trim Var.',header=TRUE)
smyx <- sort(myx)
sn <- length(smyx)
a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyxa<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')