Free Statistics

of Irreproducible Research!

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, 02 Dec 2009 06:58:20 -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/2009/Dec/02/t1259762370eklof2b2qgljsd2.htm/, Retrieved Sat, 27 Apr 2024 19:38:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62357, Retrieved Sat, 27 Apr 2024 19:38:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Variance Reduction Matrix] [] [2009-11-27 14:44:05] [b98453cac15ba1066b407e146608df68]
-    D      [Variance Reduction Matrix] [VRM] [2009-12-02 13:58:20] [a93df6747c5c78315f2ee9914aea3ec6] [Current]
-    D        [Variance Reduction Matrix] [VRM] [2009-12-04 15:41:11] [69c775ce4d55db2aa75a88e773e8d700]
Feedback Forum

Post a new message
Dataseries X:
2.085
2.053
2.077
2.058
2.057
2.076
2.07
2.062
2.073
2.061
2.094
2.067
2.086
2.276
2.326
2.349
2.52
2.628
2.577
2.698
2.814
2.968
3.041
3.278
3.328
3.5
3.563
3.569
3.69
3.819
3.79
3.956
4.063
4.047
4.029
3.941
4.022
3.879
4.022
4.028
4.091
3.987
4.01
4.007
4.191
4.299
4.273
3.82
3.15
2.486
1.812
1.257
1.062
0.842
0.782
0.698
0.358
0.347
0.363
0.359
0.355




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62357&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62357&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62357&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'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)1.45440213879781Range3.952Trim Var.1.07555419375907
V(Y[t],d=1,D=0)0.0414556327683616Range0.911Trim Var.0.0193115754716981
V(Y[t],d=2,D=0)0.0207919433080070Range0.787Trim Var.0.0113122656023222
V(Y[t],d=3,D=0)0.0518302093163945Range1.00800000000000Trim Var.0.0341975184766215
V(Y[t],d=0,D=1)2.90868095833333Range5.21Trim Var.2.20269867331118
V(Y[t],d=1,D=1)0.0723800638297872Range1.483Trim Var.0.0293657700348432
V(Y[t],d=2,D=1)0.0473797742830713Range0.85Trim Var.0.0305226719512196
V(Y[t],d=3,D=1)0.119036688405797Range1.55000000000000Trim Var.0.068900458974359
V(Y[t],d=0,D=2)2.74801382432432Range5.445Trim Var.2.19596725757576
V(Y[t],d=1,D=2)0.159753244444445Range2.314Trim Var.0.0435905
V(Y[t],d=2,D=2)0.140754526050420Range1.506Trim Var.0.09309951827957
V(Y[t],d=3,D=2)0.364808360071302Range2.58500000000001Trim Var.0.233491885057472

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1.45440213879781 & Range & 3.952 & Trim Var. & 1.07555419375907 \tabularnewline
V(Y[t],d=1,D=0) & 0.0414556327683616 & Range & 0.911 & Trim Var. & 0.0193115754716981 \tabularnewline
V(Y[t],d=2,D=0) & 0.0207919433080070 & Range & 0.787 & Trim Var. & 0.0113122656023222 \tabularnewline
V(Y[t],d=3,D=0) & 0.0518302093163945 & Range & 1.00800000000000 & Trim Var. & 0.0341975184766215 \tabularnewline
V(Y[t],d=0,D=1) & 2.90868095833333 & Range & 5.21 & Trim Var. & 2.20269867331118 \tabularnewline
V(Y[t],d=1,D=1) & 0.0723800638297872 & Range & 1.483 & Trim Var. & 0.0293657700348432 \tabularnewline
V(Y[t],d=2,D=1) & 0.0473797742830713 & Range & 0.85 & Trim Var. & 0.0305226719512196 \tabularnewline
V(Y[t],d=3,D=1) & 0.119036688405797 & Range & 1.55000000000000 & Trim Var. & 0.068900458974359 \tabularnewline
V(Y[t],d=0,D=2) & 2.74801382432432 & Range & 5.445 & Trim Var. & 2.19596725757576 \tabularnewline
V(Y[t],d=1,D=2) & 0.159753244444445 & Range & 2.314 & Trim Var. & 0.0435905 \tabularnewline
V(Y[t],d=2,D=2) & 0.140754526050420 & Range & 1.506 & Trim Var. & 0.09309951827957 \tabularnewline
V(Y[t],d=3,D=2) & 0.364808360071302 & Range & 2.58500000000001 & Trim Var. & 0.233491885057472 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62357&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1.45440213879781[/C][C]Range[/C][C]3.952[/C][C]Trim Var.[/C][C]1.07555419375907[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.0414556327683616[/C][C]Range[/C][C]0.911[/C][C]Trim Var.[/C][C]0.0193115754716981[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.0207919433080070[/C][C]Range[/C][C]0.787[/C][C]Trim Var.[/C][C]0.0113122656023222[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.0518302093163945[/C][C]Range[/C][C]1.00800000000000[/C][C]Trim Var.[/C][C]0.0341975184766215[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]2.90868095833333[/C][C]Range[/C][C]5.21[/C][C]Trim Var.[/C][C]2.20269867331118[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.0723800638297872[/C][C]Range[/C][C]1.483[/C][C]Trim Var.[/C][C]0.0293657700348432[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.0473797742830713[/C][C]Range[/C][C]0.85[/C][C]Trim Var.[/C][C]0.0305226719512196[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.119036688405797[/C][C]Range[/C][C]1.55000000000000[/C][C]Trim Var.[/C][C]0.068900458974359[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]2.74801382432432[/C][C]Range[/C][C]5.445[/C][C]Trim Var.[/C][C]2.19596725757576[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.159753244444445[/C][C]Range[/C][C]2.314[/C][C]Trim Var.[/C][C]0.0435905[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.140754526050420[/C][C]Range[/C][C]1.506[/C][C]Trim Var.[/C][C]0.09309951827957[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.364808360071302[/C][C]Range[/C][C]2.58500000000001[/C][C]Trim Var.[/C][C]0.233491885057472[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62357&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62357&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)1.45440213879781Range3.952Trim Var.1.07555419375907
V(Y[t],d=1,D=0)0.0414556327683616Range0.911Trim Var.0.0193115754716981
V(Y[t],d=2,D=0)0.0207919433080070Range0.787Trim Var.0.0113122656023222
V(Y[t],d=3,D=0)0.0518302093163945Range1.00800000000000Trim Var.0.0341975184766215
V(Y[t],d=0,D=1)2.90868095833333Range5.21Trim Var.2.20269867331118
V(Y[t],d=1,D=1)0.0723800638297872Range1.483Trim Var.0.0293657700348432
V(Y[t],d=2,D=1)0.0473797742830713Range0.85Trim Var.0.0305226719512196
V(Y[t],d=3,D=1)0.119036688405797Range1.55000000000000Trim Var.0.068900458974359
V(Y[t],d=0,D=2)2.74801382432432Range5.445Trim Var.2.19596725757576
V(Y[t],d=1,D=2)0.159753244444445Range2.314Trim Var.0.0435905
V(Y[t],d=2,D=2)0.140754526050420Range1.506Trim Var.0.09309951827957
V(Y[t],d=3,D=2)0.364808360071302Range2.58500000000001Trim Var.0.233491885057472



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')