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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 computationTue, 02 Dec 2008 12:52:01 -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/02/t1228247588n5ldjvh62t2aw4m.htm/, Retrieved Sat, 25 May 2024 05:20:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28291, Retrieved Sat, 25 May 2024 05:20:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgdm
Estimated Impact213
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Law of Averages] [Random Walk Simul...] [2008-11-25 18:40:39] [b98453cac15ba1066b407e146608df68]
F       [Law of Averages] [WS7 Task 4] [2008-11-30 15:52:14] [11ac052cc87d77b9933b02bea117068e]
- RMPD    [Spectral Analysis] [WS7 Task 6d] [2008-12-02 18:21:54] [11ac052cc87d77b9933b02bea117068e]
- RMPD        [Variance Reduction Matrix] [WS7 Task 8c] [2008-12-02 19:52:01] [99f79d508deef838ee89a56fb32f134e] [Current]
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Dataseries X:
4,56
4,41
4,33
4,20
4,25
4,25
4,19
4,17
4,21
4,21
4,17
4,16
4,19
4,08
4,06
3,98
3,82
3,82
3,72
3,56
3,57
3,49
3,32
3,23
3,04
3,00
2,82
2,73
2,59
2,58
2,53
2,31
2,31
2,30
2,07
2,07
2,06
2,06
2,05
2,05
2,05
2,05
2,05
2,06
2,07
2,08
2,05
2,03
2,02
2,02
2,01
2,01
2,01
2,01
2,01
2,01
2,03
2,04
2,03
2,05
2,08
2,06
2,09
2,19
2,56
2,54
2,63
2,78
2,84
3,02
3,28
3,29
3,29
3,29
3,32
3,34
3,32
3,30
3,30
3,30
3,31
3,35
3,48
3,76
4,06
4,51
4,52
4,53
4,63
4,79
4,77
4,77
4,77
4,81
4,83
4,76
4,61




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28291&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28291&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'George Udny Yule' @ 72.249.76.132







Variance Reduction Matrix
V(Y[t],d=0,D=0)0.95300612113402Range2.82Trim Var.0.8043181232493
V(Y[t],d=1,D=0)0.0118513048245614Range0.68Trim Var.0.00408623803009576
V(Y[t],d=2,D=0)0.0117425531914894Range0.71Trim Var.0.00449193277310925
V(Y[t],d=3,D=0)0.0329318348204072Range1.16Trim Var.0.0139502438324728
V(Y[t],d=0,D=1)0.715847675070028Range2.75Trim Var.0.546695834875972
V(Y[t],d=1,D=1)0.0198761904761905Range0.9Trim Var.0.00691144020733061
V(Y[t],d=2,D=1)0.022229356450191Range0.87Trim Var.0.00966411719939116
V(Y[t],d=3,D=1)0.0619583258054803Range1.36Trim Var.0.0304478090766823
V(Y[t],d=0,D=2)0.441470852359209Range2.32Trim Var.0.342123653846154
V(Y[t],d=1,D=2)0.0531217527386541Range1.27Trim Var.0.0209499007936508
V(Y[t],d=2,D=2)0.0619175855130784Range1.42Trim Var.0.0290544290834613
V(Y[t],d=3,D=2)0.168605714285714Range2.34Trim Var.0.0954670809095715

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.95300612113402 & Range & 2.82 & Trim Var. & 0.8043181232493 \tabularnewline
V(Y[t],d=1,D=0) & 0.0118513048245614 & Range & 0.68 & Trim Var. & 0.00408623803009576 \tabularnewline
V(Y[t],d=2,D=0) & 0.0117425531914894 & Range & 0.71 & Trim Var. & 0.00449193277310925 \tabularnewline
V(Y[t],d=3,D=0) & 0.0329318348204072 & Range & 1.16 & Trim Var. & 0.0139502438324728 \tabularnewline
V(Y[t],d=0,D=1) & 0.715847675070028 & Range & 2.75 & Trim Var. & 0.546695834875972 \tabularnewline
V(Y[t],d=1,D=1) & 0.0198761904761905 & Range & 0.9 & Trim Var. & 0.00691144020733061 \tabularnewline
V(Y[t],d=2,D=1) & 0.022229356450191 & Range & 0.87 & Trim Var. & 0.00966411719939116 \tabularnewline
V(Y[t],d=3,D=1) & 0.0619583258054803 & Range & 1.36 & Trim Var. & 0.0304478090766823 \tabularnewline
V(Y[t],d=0,D=2) & 0.441470852359209 & Range & 2.32 & Trim Var. & 0.342123653846154 \tabularnewline
V(Y[t],d=1,D=2) & 0.0531217527386541 & Range & 1.27 & Trim Var. & 0.0209499007936508 \tabularnewline
V(Y[t],d=2,D=2) & 0.0619175855130784 & Range & 1.42 & Trim Var. & 0.0290544290834613 \tabularnewline
V(Y[t],d=3,D=2) & 0.168605714285714 & Range & 2.34 & Trim Var. & 0.0954670809095715 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28291&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.95300612113402[/C][C]Range[/C][C]2.82[/C][C]Trim Var.[/C][C]0.8043181232493[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.0118513048245614[/C][C]Range[/C][C]0.68[/C][C]Trim Var.[/C][C]0.00408623803009576[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.0117425531914894[/C][C]Range[/C][C]0.71[/C][C]Trim Var.[/C][C]0.00449193277310925[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.0329318348204072[/C][C]Range[/C][C]1.16[/C][C]Trim Var.[/C][C]0.0139502438324728[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.715847675070028[/C][C]Range[/C][C]2.75[/C][C]Trim Var.[/C][C]0.546695834875972[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.0198761904761905[/C][C]Range[/C][C]0.9[/C][C]Trim Var.[/C][C]0.00691144020733061[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.022229356450191[/C][C]Range[/C][C]0.87[/C][C]Trim Var.[/C][C]0.00966411719939116[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.0619583258054803[/C][C]Range[/C][C]1.36[/C][C]Trim Var.[/C][C]0.0304478090766823[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.441470852359209[/C][C]Range[/C][C]2.32[/C][C]Trim Var.[/C][C]0.342123653846154[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.0531217527386541[/C][C]Range[/C][C]1.27[/C][C]Trim Var.[/C][C]0.0209499007936508[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.0619175855130784[/C][C]Range[/C][C]1.42[/C][C]Trim Var.[/C][C]0.0290544290834613[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.168605714285714[/C][C]Range[/C][C]2.34[/C][C]Trim Var.[/C][C]0.0954670809095715[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28291&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)0.95300612113402Range2.82Trim Var.0.8043181232493
V(Y[t],d=1,D=0)0.0118513048245614Range0.68Trim Var.0.00408623803009576
V(Y[t],d=2,D=0)0.0117425531914894Range0.71Trim Var.0.00449193277310925
V(Y[t],d=3,D=0)0.0329318348204072Range1.16Trim Var.0.0139502438324728
V(Y[t],d=0,D=1)0.715847675070028Range2.75Trim Var.0.546695834875972
V(Y[t],d=1,D=1)0.0198761904761905Range0.9Trim Var.0.00691144020733061
V(Y[t],d=2,D=1)0.022229356450191Range0.87Trim Var.0.00966411719939116
V(Y[t],d=3,D=1)0.0619583258054803Range1.36Trim Var.0.0304478090766823
V(Y[t],d=0,D=2)0.441470852359209Range2.32Trim Var.0.342123653846154
V(Y[t],d=1,D=2)0.0531217527386541Range1.27Trim Var.0.0209499007936508
V(Y[t],d=2,D=2)0.0619175855130784Range1.42Trim Var.0.0290544290834613
V(Y[t],d=3,D=2)0.168605714285714Range2.34Trim Var.0.0954670809095715



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')