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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationThu, 22 Nov 2007 07:08:31 -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/2007/Nov/22/t1195740023xnk8qklmoy8oq0c.htm/, Retrieved Thu, 02 May 2024 17:59:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6006, Retrieved Thu, 02 May 2024 17:59:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [VRM P-index energ...] [2007-11-22 14:08:31] [4df98167d5cf79c69ce763f2d4ef5b15] [Current]
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Dataseries X:
96,8
87,0
96,3
107,1
115,2
106,1
89,5
91,3
97,6
100,7
104,6
94,7
101,8
102,5
105,3
110,3
109,8
117,3
118,8
131,3
125,9
133,1
147,0
145,8
164,4
149,8
137,7
151,7
156,8
180,0
180,4
170,4
191,6
199,5
218,2
217,5
205,0
194,0
199,3
219,3
211,1
215,2
240,2
242,2
240,7
255,4
253,0
218,2
203,7
205,6
215,6
188,5
202,9
214,0
230,3
230,0
241,0
259,6
247,8
270,3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6006&T=0

[TABLE]
[ROW][C]Summary of compuational 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]1 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=6006&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6006&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)3154.23155649718Range183.3Trim Var.2661.8578895877
V(Y[t],d=1,D=0)155.028661601403Range59.8Trim Var.95.9843686502177
V(Y[t],d=2,D=0)316.989162129462Range78.6Trim Var.209.229472096531
V(Y[t],d=3,D=0)880.390476190476Range131.6Trim Var.585.549670588235
V(Y[t],d=0,D=1)772.777163120567Range102.6Trim Var.584.584367015099
V(Y[t],d=1,D=1)322.174995374653Range104.4Trim Var.146.490487804878
V(Y[t],d=2,D=1)651.7281352657Range121.5Trim Var.327.207461538462
V(Y[t],d=3,D=1)1667.90154545455Range206.8Trim Var.820.864129554656
V(Y[t],d=0,D=2)1901.78592857143Range156Trim Var.1435.49974798387
V(Y[t],d=1,D=2)944.559462184874Range144.5Trim Var.566.965612903226
V(Y[t],d=2,D=2)1782.57286987522Range172.8Trim Var.1176.71426436782
V(Y[t],d=3,D=2)4550.49859848485Range252.4Trim Var.3108.42034482759

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 3154.23155649718 & Range & 183.3 & Trim Var. & 2661.8578895877 \tabularnewline
V(Y[t],d=1,D=0) & 155.028661601403 & Range & 59.8 & Trim Var. & 95.9843686502177 \tabularnewline
V(Y[t],d=2,D=0) & 316.989162129462 & Range & 78.6 & Trim Var. & 209.229472096531 \tabularnewline
V(Y[t],d=3,D=0) & 880.390476190476 & Range & 131.6 & Trim Var. & 585.549670588235 \tabularnewline
V(Y[t],d=0,D=1) & 772.777163120567 & Range & 102.6 & Trim Var. & 584.584367015099 \tabularnewline
V(Y[t],d=1,D=1) & 322.174995374653 & Range & 104.4 & Trim Var. & 146.490487804878 \tabularnewline
V(Y[t],d=2,D=1) & 651.7281352657 & Range & 121.5 & Trim Var. & 327.207461538462 \tabularnewline
V(Y[t],d=3,D=1) & 1667.90154545455 & Range & 206.8 & Trim Var. & 820.864129554656 \tabularnewline
V(Y[t],d=0,D=2) & 1901.78592857143 & Range & 156 & Trim Var. & 1435.49974798387 \tabularnewline
V(Y[t],d=1,D=2) & 944.559462184874 & Range & 144.5 & Trim Var. & 566.965612903226 \tabularnewline
V(Y[t],d=2,D=2) & 1782.57286987522 & Range & 172.8 & Trim Var. & 1176.71426436782 \tabularnewline
V(Y[t],d=3,D=2) & 4550.49859848485 & Range & 252.4 & Trim Var. & 3108.42034482759 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6006&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]3154.23155649718[/C][C]Range[/C][C]183.3[/C][C]Trim Var.[/C][C]2661.8578895877[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]155.028661601403[/C][C]Range[/C][C]59.8[/C][C]Trim Var.[/C][C]95.9843686502177[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]316.989162129462[/C][C]Range[/C][C]78.6[/C][C]Trim Var.[/C][C]209.229472096531[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]880.390476190476[/C][C]Range[/C][C]131.6[/C][C]Trim Var.[/C][C]585.549670588235[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]772.777163120567[/C][C]Range[/C][C]102.6[/C][C]Trim Var.[/C][C]584.584367015099[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]322.174995374653[/C][C]Range[/C][C]104.4[/C][C]Trim Var.[/C][C]146.490487804878[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]651.7281352657[/C][C]Range[/C][C]121.5[/C][C]Trim Var.[/C][C]327.207461538462[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1667.90154545455[/C][C]Range[/C][C]206.8[/C][C]Trim Var.[/C][C]820.864129554656[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]1901.78592857143[/C][C]Range[/C][C]156[/C][C]Trim Var.[/C][C]1435.49974798387[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]944.559462184874[/C][C]Range[/C][C]144.5[/C][C]Trim Var.[/C][C]566.965612903226[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]1782.57286987522[/C][C]Range[/C][C]172.8[/C][C]Trim Var.[/C][C]1176.71426436782[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]4550.49859848485[/C][C]Range[/C][C]252.4[/C][C]Trim Var.[/C][C]3108.42034482759[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6006&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6006&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)3154.23155649718Range183.3Trim Var.2661.8578895877
V(Y[t],d=1,D=0)155.028661601403Range59.8Trim Var.95.9843686502177
V(Y[t],d=2,D=0)316.989162129462Range78.6Trim Var.209.229472096531
V(Y[t],d=3,D=0)880.390476190476Range131.6Trim Var.585.549670588235
V(Y[t],d=0,D=1)772.777163120567Range102.6Trim Var.584.584367015099
V(Y[t],d=1,D=1)322.174995374653Range104.4Trim Var.146.490487804878
V(Y[t],d=2,D=1)651.7281352657Range121.5Trim Var.327.207461538462
V(Y[t],d=3,D=1)1667.90154545455Range206.8Trim Var.820.864129554656
V(Y[t],d=0,D=2)1901.78592857143Range156Trim Var.1435.49974798387
V(Y[t],d=1,D=2)944.559462184874Range144.5Trim Var.566.965612903226
V(Y[t],d=2,D=2)1782.57286987522Range172.8Trim Var.1176.71426436782
V(Y[t],d=3,D=2)4550.49859848485Range252.4Trim Var.3108.42034482759



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
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')