Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationTue, 27 Nov 2007 13:14:58 -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/t1196193942ba204qscabkqsvg.htm/, Retrieved Sun, 05 May 2024 14:49:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6940, Retrieved Sun, 05 May 2024 14:49:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact208
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [Variancie reducti...] [2007-11-27 20:14:58] [bebbf4ab6ac77d61a56e6916ab0650f9] [Current]
Feedback Forum

Post a new message
Dataseries X:
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,57
1,58
1,58
1,58
1,58
1,59
1,60
1,60
1,61
1,61
1,61
1,62
1,63
1,63
1,64
1,64
1,64
1,64
1,64
1,65
1,65
1,65
1,65
1,65
1,66
1,66
1,67
1,68
1,68
1,68
1,68
1,69
1,70
1,70
1,71
1,72
1,73
1,74
1,74
1,75
1,75
1,75





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 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=6940&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6940&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6940&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Variance Reduction Matrix
V(Y[t],d=0,D=0)0.00847827683615819Range0.27Trim Var.0.0021940620782726
V(Y[t],d=1,D=0)0.000149386323787259Range0.09Trim Var.NA
V(Y[t],d=2,D=0)0.000291228070175439Range0.17Trim Var.2.77777777777766e-06
V(Y[t],d=3,D=0)0.000857142857142858Range0.26Trim Var.5.63636363636362e-05
V(Y[t],d=0,D=1)0.00145514184397164Range0.14Trim Var.0.000688833570412521
V(Y[t],d=1,D=1)0.000352081406105459Range0.170000000000000Trim Var.1.82606691023382e-33
V(Y[t],d=2,D=1)0.000688888888888892Range0.180000000000000Trim Var.5.12802275960173e-05
V(Y[t],d=3,D=1)0.00205000000000001Range0.330000000000001Trim Var.0.00026842105263158
V(Y[t],d=0,D=2)0.00491015873015875Range0.250000000000000Trim Var.0.00243320105820107
V(Y[t],d=1,D=2)0.00115495798319328Range0.250000000000001Trim Var.5.04615384615386e-05
V(Y[t],d=2,D=2)0.00236363636363638Range0.330000000000001Trim Var.0.000282758620689656
V(Y[t],d=3,D=2)0.00714678030303034Range0.520000000000001Trim Var.0.00143054187192119

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.00847827683615819 & Range & 0.27 & Trim Var. & 0.0021940620782726 \tabularnewline
V(Y[t],d=1,D=0) & 0.000149386323787259 & Range & 0.09 & Trim Var. & NA \tabularnewline
V(Y[t],d=2,D=0) & 0.000291228070175439 & Range & 0.17 & Trim Var. & 2.77777777777766e-06 \tabularnewline
V(Y[t],d=3,D=0) & 0.000857142857142858 & Range & 0.26 & Trim Var. & 5.63636363636362e-05 \tabularnewline
V(Y[t],d=0,D=1) & 0.00145514184397164 & Range & 0.14 & Trim Var. & 0.000688833570412521 \tabularnewline
V(Y[t],d=1,D=1) & 0.000352081406105459 & Range & 0.170000000000000 & Trim Var. & 1.82606691023382e-33 \tabularnewline
V(Y[t],d=2,D=1) & 0.000688888888888892 & Range & 0.180000000000000 & Trim Var. & 5.12802275960173e-05 \tabularnewline
V(Y[t],d=3,D=1) & 0.00205000000000001 & Range & 0.330000000000001 & Trim Var. & 0.00026842105263158 \tabularnewline
V(Y[t],d=0,D=2) & 0.00491015873015875 & Range & 0.250000000000000 & Trim Var. & 0.00243320105820107 \tabularnewline
V(Y[t],d=1,D=2) & 0.00115495798319328 & Range & 0.250000000000001 & Trim Var. & 5.04615384615386e-05 \tabularnewline
V(Y[t],d=2,D=2) & 0.00236363636363638 & Range & 0.330000000000001 & Trim Var. & 0.000282758620689656 \tabularnewline
V(Y[t],d=3,D=2) & 0.00714678030303034 & Range & 0.520000000000001 & Trim Var. & 0.00143054187192119 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6940&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.00847827683615819[/C][C]Range[/C][C]0.27[/C][C]Trim Var.[/C][C]0.0021940620782726[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.000149386323787259[/C][C]Range[/C][C]0.09[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.000291228070175439[/C][C]Range[/C][C]0.17[/C][C]Trim Var.[/C][C]2.77777777777766e-06[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.000857142857142858[/C][C]Range[/C][C]0.26[/C][C]Trim Var.[/C][C]5.63636363636362e-05[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.00145514184397164[/C][C]Range[/C][C]0.14[/C][C]Trim Var.[/C][C]0.000688833570412521[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.000352081406105459[/C][C]Range[/C][C]0.170000000000000[/C][C]Trim Var.[/C][C]1.82606691023382e-33[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.000688888888888892[/C][C]Range[/C][C]0.180000000000000[/C][C]Trim Var.[/C][C]5.12802275960173e-05[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.00205000000000001[/C][C]Range[/C][C]0.330000000000001[/C][C]Trim Var.[/C][C]0.00026842105263158[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.00491015873015875[/C][C]Range[/C][C]0.250000000000000[/C][C]Trim Var.[/C][C]0.00243320105820107[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.00115495798319328[/C][C]Range[/C][C]0.250000000000001[/C][C]Trim Var.[/C][C]5.04615384615386e-05[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.00236363636363638[/C][C]Range[/C][C]0.330000000000001[/C][C]Trim Var.[/C][C]0.000282758620689656[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.00714678030303034[/C][C]Range[/C][C]0.520000000000001[/C][C]Trim Var.[/C][C]0.00143054187192119[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6940&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6940&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)0.00847827683615819Range0.27Trim Var.0.0021940620782726
V(Y[t],d=1,D=0)0.000149386323787259Range0.09Trim Var.NA
V(Y[t],d=2,D=0)0.000291228070175439Range0.17Trim Var.2.77777777777766e-06
V(Y[t],d=3,D=0)0.000857142857142858Range0.26Trim Var.5.63636363636362e-05
V(Y[t],d=0,D=1)0.00145514184397164Range0.14Trim Var.0.000688833570412521
V(Y[t],d=1,D=1)0.000352081406105459Range0.170000000000000Trim Var.1.82606691023382e-33
V(Y[t],d=2,D=1)0.000688888888888892Range0.180000000000000Trim Var.5.12802275960173e-05
V(Y[t],d=3,D=1)0.00205000000000001Range0.330000000000001Trim Var.0.00026842105263158
V(Y[t],d=0,D=2)0.00491015873015875Range0.250000000000000Trim Var.0.00243320105820107
V(Y[t],d=1,D=2)0.00115495798319328Range0.250000000000001Trim Var.5.04615384615386e-05
V(Y[t],d=2,D=2)0.00236363636363638Range0.330000000000001Trim Var.0.000282758620689656
V(Y[t],d=3,D=2)0.00714678030303034Range0.520000000000001Trim Var.0.00143054187192119



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')