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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 computationWed, 17 Dec 2008 12:28:55 -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/2008/Dec/17/t1229542206q8zq067vwe8eoko.htm/, Retrieved Sun, 19 May 2024 04:00:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34511, Retrieved Sun, 19 May 2024 04:00:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [Paper Variance Re...] [2008-12-17 19:28:55] [0da3c04827d8ef68db874351a2e09488] [Current]
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Dataseries X:
94.7
101.8
102.5
105.3
110.3
109.8
117.3
118.8
131.3
125.9
133.1
147
145.8
164.4
149.8
137.7
151.7
156.8
180
180.4
170.4
191.6
199.5
218.2
217.5
205
194
199.3
219.3
211.1
215.2
240.2
242.2
240.7
255.4
253
218.2
203.7
205.6
215.6
188.5
202.9
214
230.3
230
241
259.6
247.8
270.3
289.7
322.7
315
320.2
329.5
360.6
382.2
435.4
464
468.8
403
351.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34511&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34511&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34511&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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Variance Reduction Matrix
V(Y[t],d=0,D=0)8175.32244808743Range374.1Trim Var.4435.63708272859
V(Y[t],d=1,D=0)359.793048022599Range119Trim Var.144.981509433962
V(Y[t],d=2,D=0)455.421478667446Range112.1Trim Var.279.848301886793
V(Y[t],d=3,D=0)1213.17720508167Range141.2Trim Var.835.614690799397
V(Y[t],d=0,D=1)3418.36121598639Range253.8Trim Var.1801.37741971207
V(Y[t],d=1,D=1)621.443812056738Range131.2Trim Var.274.374175377468
V(Y[t],d=2,D=1)907.105356151712Range121.5Trim Var.574.393975609756
V(Y[t],d=3,D=1)2536.72611111111Range211.6Trim Var.1542.91669230769
V(Y[t],d=0,D=2)8446.7734084084Range321.1Trim Var.6296.44183712121
V(Y[t],d=1,D=2)1717.90758730159Range222.6Trim Var.820.070554435484
V(Y[t],d=2,D=2)2675.04104201681Range208.9Trim Var.1789.48503225806
V(Y[t],d=3,D=2)7106.03284313726Range356.7Trim Var.4510.60524137931

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 8175.32244808743 & Range & 374.1 & Trim Var. & 4435.63708272859 \tabularnewline
V(Y[t],d=1,D=0) & 359.793048022599 & Range & 119 & Trim Var. & 144.981509433962 \tabularnewline
V(Y[t],d=2,D=0) & 455.421478667446 & Range & 112.1 & Trim Var. & 279.848301886793 \tabularnewline
V(Y[t],d=3,D=0) & 1213.17720508167 & Range & 141.2 & Trim Var. & 835.614690799397 \tabularnewline
V(Y[t],d=0,D=1) & 3418.36121598639 & Range & 253.8 & Trim Var. & 1801.37741971207 \tabularnewline
V(Y[t],d=1,D=1) & 621.443812056738 & Range & 131.2 & Trim Var. & 274.374175377468 \tabularnewline
V(Y[t],d=2,D=1) & 907.105356151712 & Range & 121.5 & Trim Var. & 574.393975609756 \tabularnewline
V(Y[t],d=3,D=1) & 2536.72611111111 & Range & 211.6 & Trim Var. & 1542.91669230769 \tabularnewline
V(Y[t],d=0,D=2) & 8446.7734084084 & Range & 321.1 & Trim Var. & 6296.44183712121 \tabularnewline
V(Y[t],d=1,D=2) & 1717.90758730159 & Range & 222.6 & Trim Var. & 820.070554435484 \tabularnewline
V(Y[t],d=2,D=2) & 2675.04104201681 & Range & 208.9 & Trim Var. & 1789.48503225806 \tabularnewline
V(Y[t],d=3,D=2) & 7106.03284313726 & Range & 356.7 & Trim Var. & 4510.60524137931 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34511&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]8175.32244808743[/C][C]Range[/C][C]374.1[/C][C]Trim Var.[/C][C]4435.63708272859[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]359.793048022599[/C][C]Range[/C][C]119[/C][C]Trim Var.[/C][C]144.981509433962[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]455.421478667446[/C][C]Range[/C][C]112.1[/C][C]Trim Var.[/C][C]279.848301886793[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1213.17720508167[/C][C]Range[/C][C]141.2[/C][C]Trim Var.[/C][C]835.614690799397[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]3418.36121598639[/C][C]Range[/C][C]253.8[/C][C]Trim Var.[/C][C]1801.37741971207[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]621.443812056738[/C][C]Range[/C][C]131.2[/C][C]Trim Var.[/C][C]274.374175377468[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]907.105356151712[/C][C]Range[/C][C]121.5[/C][C]Trim Var.[/C][C]574.393975609756[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]2536.72611111111[/C][C]Range[/C][C]211.6[/C][C]Trim Var.[/C][C]1542.91669230769[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]8446.7734084084[/C][C]Range[/C][C]321.1[/C][C]Trim Var.[/C][C]6296.44183712121[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]1717.90758730159[/C][C]Range[/C][C]222.6[/C][C]Trim Var.[/C][C]820.070554435484[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]2675.04104201681[/C][C]Range[/C][C]208.9[/C][C]Trim Var.[/C][C]1789.48503225806[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]7106.03284313726[/C][C]Range[/C][C]356.7[/C][C]Trim Var.[/C][C]4510.60524137931[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34511&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34511&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)8175.32244808743Range374.1Trim Var.4435.63708272859
V(Y[t],d=1,D=0)359.793048022599Range119Trim Var.144.981509433962
V(Y[t],d=2,D=0)455.421478667446Range112.1Trim Var.279.848301886793
V(Y[t],d=3,D=0)1213.17720508167Range141.2Trim Var.835.614690799397
V(Y[t],d=0,D=1)3418.36121598639Range253.8Trim Var.1801.37741971207
V(Y[t],d=1,D=1)621.443812056738Range131.2Trim Var.274.374175377468
V(Y[t],d=2,D=1)907.105356151712Range121.5Trim Var.574.393975609756
V(Y[t],d=3,D=1)2536.72611111111Range211.6Trim Var.1542.91669230769
V(Y[t],d=0,D=2)8446.7734084084Range321.1Trim Var.6296.44183712121
V(Y[t],d=1,D=2)1717.90758730159Range222.6Trim Var.820.070554435484
V(Y[t],d=2,D=2)2675.04104201681Range208.9Trim Var.1789.48503225806
V(Y[t],d=3,D=2)7106.03284313726Range356.7Trim Var.4510.60524137931



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')