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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationMon, 26 Nov 2007 16:15:24 -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/27/t1196118336yetxm0c9wrtu906.htm/, Retrieved Sun, 05 May 2024 20:24:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6736, Retrieved Sun, 05 May 2024 20:24:34 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [Inducing Stationa...] [2007-11-26 23:15:24] [640491d00f3c9cca22cbf779aa38ac16] [Current]
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Dataseries X:
99,80
103,50
103,10
105,60
105,70
106,60
107,00
105,20
105,70
105,00
105,10
105,90
105,30
104,90
103,20
103,40
104,40
104,50
105,90
110,60
112,40
111,80
111,00
111,00
109,10
107,80
107,20
108,40
107,50
106,40
106,20
104,90
106,20
107,60
107,00
104,50
105,10
104,70
103,70
104,90
105,90
106,10
106,10
106,80
106,40
107,80
107,60
107,60
108,40
109,50
109,20
109,10
110,00
109,00
109,00
111,90
109,30
112,10
112,10
112,50
113,60
112,90
114,00
116,10
116,50
117,10
117,10
117,10
116,50
116,50
116,30
116,50
119,20
118,60
117,50
117,10
117,60
118,30
118,60
116,70




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6736&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6736&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6736&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Variance Reduction Matrix
V(Y[t],d=0,D=0)23.743417721519Range19.4Trim Var.18.6652816901408
V(Y[t],d=1,D=0)1.68300876338851Range7.3Trim Var.0.867171026156941
V(Y[t],d=2,D=0)3.28620712620713Range10.9000000000000Trim Var.1.76185848252344
V(Y[t],d=3,D=0)9.63267259056733Range19.3000000000000Trim Var.4.54486359761295
V(Y[t],d=0,D=1)13.2904828797190Range14.6Trim Var.8.83142372881355
V(Y[t],d=1,D=1)3.39773405698778Range12.5000000000000Trim Var.1.59051421657592
V(Y[t],d=2,D=1)6.03641025641024Range10.7000000000000Trim Var.3.40578644888082
V(Y[t],d=3,D=1)17.3464903846153Range20.5999999999999Trim Var.9.50563909774431
V(Y[t],d=0,D=2)34.247948051948Range22.5Trim Var.24.8747306122449
V(Y[t],d=1,D=2)9.46210101010099Range20.5000000000000Trim Var.4.17105442176870
V(Y[t],d=2,D=2)17.6028371767994Range20.5999999999999Trim Var.9.37006648936167
V(Y[t],d=3,D=2)51.3682220609577Range38.3Trim Var.25.9514061054577

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 23.743417721519 & Range & 19.4 & Trim Var. & 18.6652816901408 \tabularnewline
V(Y[t],d=1,D=0) & 1.68300876338851 & Range & 7.3 & Trim Var. & 0.867171026156941 \tabularnewline
V(Y[t],d=2,D=0) & 3.28620712620713 & Range & 10.9000000000000 & Trim Var. & 1.76185848252344 \tabularnewline
V(Y[t],d=3,D=0) & 9.63267259056733 & Range & 19.3000000000000 & Trim Var. & 4.54486359761295 \tabularnewline
V(Y[t],d=0,D=1) & 13.2904828797190 & Range & 14.6 & Trim Var. & 8.83142372881355 \tabularnewline
V(Y[t],d=1,D=1) & 3.39773405698778 & Range & 12.5000000000000 & Trim Var. & 1.59051421657592 \tabularnewline
V(Y[t],d=2,D=1) & 6.03641025641024 & Range & 10.7000000000000 & Trim Var. & 3.40578644888082 \tabularnewline
V(Y[t],d=3,D=1) & 17.3464903846153 & Range & 20.5999999999999 & Trim Var. & 9.50563909774431 \tabularnewline
V(Y[t],d=0,D=2) & 34.247948051948 & Range & 22.5 & Trim Var. & 24.8747306122449 \tabularnewline
V(Y[t],d=1,D=2) & 9.46210101010099 & Range & 20.5000000000000 & Trim Var. & 4.17105442176870 \tabularnewline
V(Y[t],d=2,D=2) & 17.6028371767994 & Range & 20.5999999999999 & Trim Var. & 9.37006648936167 \tabularnewline
V(Y[t],d=3,D=2) & 51.3682220609577 & Range & 38.3 & Trim Var. & 25.9514061054577 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6736&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]23.743417721519[/C][C]Range[/C][C]19.4[/C][C]Trim Var.[/C][C]18.6652816901408[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]1.68300876338851[/C][C]Range[/C][C]7.3[/C][C]Trim Var.[/C][C]0.867171026156941[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]3.28620712620713[/C][C]Range[/C][C]10.9000000000000[/C][C]Trim Var.[/C][C]1.76185848252344[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]9.63267259056733[/C][C]Range[/C][C]19.3000000000000[/C][C]Trim Var.[/C][C]4.54486359761295[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]13.2904828797190[/C][C]Range[/C][C]14.6[/C][C]Trim Var.[/C][C]8.83142372881355[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]3.39773405698778[/C][C]Range[/C][C]12.5000000000000[/C][C]Trim Var.[/C][C]1.59051421657592[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]6.03641025641024[/C][C]Range[/C][C]10.7000000000000[/C][C]Trim Var.[/C][C]3.40578644888082[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]17.3464903846153[/C][C]Range[/C][C]20.5999999999999[/C][C]Trim Var.[/C][C]9.50563909774431[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]34.247948051948[/C][C]Range[/C][C]22.5[/C][C]Trim Var.[/C][C]24.8747306122449[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]9.46210101010099[/C][C]Range[/C][C]20.5000000000000[/C][C]Trim Var.[/C][C]4.17105442176870[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]17.6028371767994[/C][C]Range[/C][C]20.5999999999999[/C][C]Trim Var.[/C][C]9.37006648936167[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]51.3682220609577[/C][C]Range[/C][C]38.3[/C][C]Trim Var.[/C][C]25.9514061054577[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6736&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6736&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)23.743417721519Range19.4Trim Var.18.6652816901408
V(Y[t],d=1,D=0)1.68300876338851Range7.3Trim Var.0.867171026156941
V(Y[t],d=2,D=0)3.28620712620713Range10.9000000000000Trim Var.1.76185848252344
V(Y[t],d=3,D=0)9.63267259056733Range19.3000000000000Trim Var.4.54486359761295
V(Y[t],d=0,D=1)13.2904828797190Range14.6Trim Var.8.83142372881355
V(Y[t],d=1,D=1)3.39773405698778Range12.5000000000000Trim Var.1.59051421657592
V(Y[t],d=2,D=1)6.03641025641024Range10.7000000000000Trim Var.3.40578644888082
V(Y[t],d=3,D=1)17.3464903846153Range20.5999999999999Trim Var.9.50563909774431
V(Y[t],d=0,D=2)34.247948051948Range22.5Trim Var.24.8747306122449
V(Y[t],d=1,D=2)9.46210101010099Range20.5000000000000Trim Var.4.17105442176870
V(Y[t],d=2,D=2)17.6028371767994Range20.5999999999999Trim Var.9.37006648936167
V(Y[t],d=3,D=2)51.3682220609577Range38.3Trim Var.25.9514061054577



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')