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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationMon, 10 Dec 2007 03:02:44 -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/Dec/10/t11972801399q65lgelwgpqvj8.htm/, Retrieved Mon, 06 May 2024 11:05:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2978, Retrieved Mon, 06 May 2024 11:05:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact216

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [pond variance red...] [2007-12-10 10:02:44] [e24e91da8d334fb8882bf413603fde71] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,63709
0,64217
0,65711
0,66977
0,68255
0,68902
0,71322
0,70224
0,70045
0,69919
0,69693
0,69763
0,69278
0,70196
0,69215
0,67690
0,67124
0,66532
0,67157
0,66428
0,66576
0,66942
0,68130
0,69144
0,69862
0,69500
0,69867
0,68968
0,69233
0,68293
0,68399
0,66895
0,68756
0,68527
0,67760
0,68137
0,67933
0,67922
0,68598
0,68297
0,68935
0,69463
0,68330
0,68666
0,68782
0,67669
0,67511
0,67254
0,67397
0,67286
0,66341
0,66800
0,68021
0,67934
0,68136
0,67562
0,67440
0,67766
0,68887
0,69614

Tables (Output of Computation)





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=2978&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=2978&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2978&T=0

As an alternative you can also use a QR Code:  
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)0.000195452546327683Range0.07613Trim Var.0.000104303818204053
V(Y[t],d=1,D=0)6.76949009935709e-05Range0.0394500000000001Trim Var.4.24680480406386e-05
V(Y[t],d=2,D=0)0.000130081996642468Range0.0688299999999998Trim Var.7.28394999622925e-05
V(Y[t],d=3,D=0)0.000417459195488720Range0.104299999999999Trim Var.0.000221841689411764
V(Y[t],d=0,D=1)0.000421425183643617Range0.10144Trim Var.0.000180187630255517
V(Y[t],d=1,D=1)0.000140273946530990Range0.0463100000000001Trim Var.9.62698993902437e-05
V(Y[t],d=2,D=1)0.000235787025507246Range0.0666399999999998Trim Var.0.000140950583589743
V(Y[t],d=3,D=1)0.000709840347979794Range0.124499999999999Trim Var.0.000389177140620782
V(Y[t],d=0,D=2)0.000794819630714285Range0.12324Trim Var.0.000476389512802419
V(Y[t],d=1,D=2)0.000375463343361344Range0.0728099999999998Trim Var.0.000260075142365591
V(Y[t],d=2,D=2)0.000778236863814614Range0.11586Trim Var.0.000479818448850574
V(Y[t],d=3,D=2)0.00241831035416665Range0.195619999999999Trim Var.0.00145928002389162

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.000195452546327683 & Range & 0.07613 & Trim Var. & 0.000104303818204053 \tabularnewline
V(Y[t],d=1,D=0) & 6.76949009935709e-05 & Range & 0.0394500000000001 & Trim Var. & 4.24680480406386e-05 \tabularnewline
V(Y[t],d=2,D=0) & 0.000130081996642468 & Range & 0.0688299999999998 & Trim Var. & 7.28394999622925e-05 \tabularnewline
V(Y[t],d=3,D=0) & 0.000417459195488720 & Range & 0.104299999999999 & Trim Var. & 0.000221841689411764 \tabularnewline
V(Y[t],d=0,D=1) & 0.000421425183643617 & Range & 0.10144 & Trim Var. & 0.000180187630255517 \tabularnewline
V(Y[t],d=1,D=1) & 0.000140273946530990 & Range & 0.0463100000000001 & Trim Var. & 9.62698993902437e-05 \tabularnewline
V(Y[t],d=2,D=1) & 0.000235787025507246 & Range & 0.0666399999999998 & Trim Var. & 0.000140950583589743 \tabularnewline
V(Y[t],d=3,D=1) & 0.000709840347979794 & Range & 0.124499999999999 & Trim Var. & 0.000389177140620782 \tabularnewline
V(Y[t],d=0,D=2) & 0.000794819630714285 & Range & 0.12324 & Trim Var. & 0.000476389512802419 \tabularnewline
V(Y[t],d=1,D=2) & 0.000375463343361344 & Range & 0.0728099999999998 & Trim Var. & 0.000260075142365591 \tabularnewline
V(Y[t],d=2,D=2) & 0.000778236863814614 & Range & 0.11586 & Trim Var. & 0.000479818448850574 \tabularnewline
V(Y[t],d=3,D=2) & 0.00241831035416665 & Range & 0.195619999999999 & Trim Var. & 0.00145928002389162 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2978&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.000195452546327683[/C][C]Range[/C][C]0.07613[/C][C]Trim Var.[/C][C]0.000104303818204053[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]6.76949009935709e-05[/C][C]Range[/C][C]0.0394500000000001[/C][C]Trim Var.[/C][C]4.24680480406386e-05[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.000130081996642468[/C][C]Range[/C][C]0.0688299999999998[/C][C]Trim Var.[/C][C]7.28394999622925e-05[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.000417459195488720[/C][C]Range[/C][C]0.104299999999999[/C][C]Trim Var.[/C][C]0.000221841689411764[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.000421425183643617[/C][C]Range[/C][C]0.10144[/C][C]Trim Var.[/C][C]0.000180187630255517[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.000140273946530990[/C][C]Range[/C][C]0.0463100000000001[/C][C]Trim Var.[/C][C]9.62698993902437e-05[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.000235787025507246[/C][C]Range[/C][C]0.0666399999999998[/C][C]Trim Var.[/C][C]0.000140950583589743[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.000709840347979794[/C][C]Range[/C][C]0.124499999999999[/C][C]Trim Var.[/C][C]0.000389177140620782[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.000794819630714285[/C][C]Range[/C][C]0.12324[/C][C]Trim Var.[/C][C]0.000476389512802419[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.000375463343361344[/C][C]Range[/C][C]0.0728099999999998[/C][C]Trim Var.[/C][C]0.000260075142365591[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.000778236863814614[/C][C]Range[/C][C]0.11586[/C][C]Trim Var.[/C][C]0.000479818448850574[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.00241831035416665[/C][C]Range[/C][C]0.195619999999999[/C][C]Trim Var.[/C][C]0.00145928002389162[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2978&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2978&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Variance Reduction Matrix
V(Y[t],d=0,D=0)0.000195452546327683Range0.07613Trim Var.0.000104303818204053
V(Y[t],d=1,D=0)6.76949009935709e-05Range0.0394500000000001Trim Var.4.24680480406386e-05
V(Y[t],d=2,D=0)0.000130081996642468Range0.0688299999999998Trim Var.7.28394999622925e-05
V(Y[t],d=3,D=0)0.000417459195488720Range0.104299999999999Trim Var.0.000221841689411764
V(Y[t],d=0,D=1)0.000421425183643617Range0.10144Trim Var.0.000180187630255517
V(Y[t],d=1,D=1)0.000140273946530990Range0.0463100000000001Trim Var.9.62698993902437e-05
V(Y[t],d=2,D=1)0.000235787025507246Range0.0666399999999998Trim Var.0.000140950583589743
V(Y[t],d=3,D=1)0.000709840347979794Range0.124499999999999Trim Var.0.000389177140620782
V(Y[t],d=0,D=2)0.000794819630714285Range0.12324Trim Var.0.000476389512802419
V(Y[t],d=1,D=2)0.000375463343361344Range0.0728099999999998Trim Var.0.000260075142365591
V(Y[t],d=2,D=2)0.000778236863814614Range0.11586Trim Var.0.000479818448850574
V(Y[t],d=3,D=2)0.00241831035416665Range0.195619999999999Trim Var.0.00145928002389162


Figures (Output of Computation)

Input Parameters & R Code

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')