Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationFri, 07 Dec 2007 05:49:54 -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/07/t11970310277gtca0sehego5y4.htm/, Retrieved Mon, 29 Apr 2024 04:22:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2787, Retrieved Mon, 29 Apr 2024 04:22:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [wisselkoers reduc...] [2007-12-07 12:49:54] [e24e91da8d334fb8882bf413603fde71] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.249
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227




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=2787&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=2787&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2787&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'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)0.00815869858474576Range0.4213Trim Var.0.00513439561495458
V(Y[t],d=1,D=0)0.00067200797194623Range0.1263Trim Var.0.000444506792452829
V(Y[t],d=2,D=0)0.00104314798548094Range0.1399Trim Var.0.000718348959276015
V(Y[t],d=3,D=0)0.00260401018796992Range0.238Trim Var.0.00174876123137254
V(Y[t],d=0,D=1)0.00730628808067376Range0.3655Trim Var.0.00423400081300813
V(Y[t],d=1,D=1)0.00140661602220166Range0.147300000000000Trim Var.0.00095723093902439
V(Y[t],d=2,D=1)0.00203376260869564Range0.1606Trim Var.0.00153206548076922
V(Y[t],d=3,D=1)0.00466256991919188Range0.290299999999999Trim Var.0.00273578165991900
V(Y[t],d=0,D=2)0.0207068157063492Range0.5583Trim Var.0.0144642320866935
V(Y[t],d=1,D=2)0.00431913843697478Range0.247599999999999Trim Var.0.0029286811827957
V(Y[t],d=2,D=2)0.00609894249554365Range0.2938Trim Var.0.00439403288505746
V(Y[t],d=3,D=2)0.0134623052272726Range0.530899999999999Trim Var.0.00795253322660093

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.00815869858474576 & Range & 0.4213 & Trim Var. & 0.00513439561495458 \tabularnewline
V(Y[t],d=1,D=0) & 0.00067200797194623 & Range & 0.1263 & Trim Var. & 0.000444506792452829 \tabularnewline
V(Y[t],d=2,D=0) & 0.00104314798548094 & Range & 0.1399 & Trim Var. & 0.000718348959276015 \tabularnewline
V(Y[t],d=3,D=0) & 0.00260401018796992 & Range & 0.238 & Trim Var. & 0.00174876123137254 \tabularnewline
V(Y[t],d=0,D=1) & 0.00730628808067376 & Range & 0.3655 & Trim Var. & 0.00423400081300813 \tabularnewline
V(Y[t],d=1,D=1) & 0.00140661602220166 & Range & 0.147300000000000 & Trim Var. & 0.00095723093902439 \tabularnewline
V(Y[t],d=2,D=1) & 0.00203376260869564 & Range & 0.1606 & Trim Var. & 0.00153206548076922 \tabularnewline
V(Y[t],d=3,D=1) & 0.00466256991919188 & Range & 0.290299999999999 & Trim Var. & 0.00273578165991900 \tabularnewline
V(Y[t],d=0,D=2) & 0.0207068157063492 & Range & 0.5583 & Trim Var. & 0.0144642320866935 \tabularnewline
V(Y[t],d=1,D=2) & 0.00431913843697478 & Range & 0.247599999999999 & Trim Var. & 0.0029286811827957 \tabularnewline
V(Y[t],d=2,D=2) & 0.00609894249554365 & Range & 0.2938 & Trim Var. & 0.00439403288505746 \tabularnewline
V(Y[t],d=3,D=2) & 0.0134623052272726 & Range & 0.530899999999999 & Trim Var. & 0.00795253322660093 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2787&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.00815869858474576[/C][C]Range[/C][C]0.4213[/C][C]Trim Var.[/C][C]0.00513439561495458[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.00067200797194623[/C][C]Range[/C][C]0.1263[/C][C]Trim Var.[/C][C]0.000444506792452829[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.00104314798548094[/C][C]Range[/C][C]0.1399[/C][C]Trim Var.[/C][C]0.000718348959276015[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.00260401018796992[/C][C]Range[/C][C]0.238[/C][C]Trim Var.[/C][C]0.00174876123137254[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.00730628808067376[/C][C]Range[/C][C]0.3655[/C][C]Trim Var.[/C][C]0.00423400081300813[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.00140661602220166[/C][C]Range[/C][C]0.147300000000000[/C][C]Trim Var.[/C][C]0.00095723093902439[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.00203376260869564[/C][C]Range[/C][C]0.1606[/C][C]Trim Var.[/C][C]0.00153206548076922[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.00466256991919188[/C][C]Range[/C][C]0.290299999999999[/C][C]Trim Var.[/C][C]0.00273578165991900[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.0207068157063492[/C][C]Range[/C][C]0.5583[/C][C]Trim Var.[/C][C]0.0144642320866935[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.00431913843697478[/C][C]Range[/C][C]0.247599999999999[/C][C]Trim Var.[/C][C]0.0029286811827957[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.00609894249554365[/C][C]Range[/C][C]0.2938[/C][C]Trim Var.[/C][C]0.00439403288505746[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.0134623052272726[/C][C]Range[/C][C]0.530899999999999[/C][C]Trim Var.[/C][C]0.00795253322660093[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2787&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2787&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)0.00815869858474576Range0.4213Trim Var.0.00513439561495458
V(Y[t],d=1,D=0)0.00067200797194623Range0.1263Trim Var.0.000444506792452829
V(Y[t],d=2,D=0)0.00104314798548094Range0.1399Trim Var.0.000718348959276015
V(Y[t],d=3,D=0)0.00260401018796992Range0.238Trim Var.0.00174876123137254
V(Y[t],d=0,D=1)0.00730628808067376Range0.3655Trim Var.0.00423400081300813
V(Y[t],d=1,D=1)0.00140661602220166Range0.147300000000000Trim Var.0.00095723093902439
V(Y[t],d=2,D=1)0.00203376260869564Range0.1606Trim Var.0.00153206548076922
V(Y[t],d=3,D=1)0.00466256991919188Range0.290299999999999Trim Var.0.00273578165991900
V(Y[t],d=0,D=2)0.0207068157063492Range0.5583Trim Var.0.0144642320866935
V(Y[t],d=1,D=2)0.00431913843697478Range0.247599999999999Trim Var.0.0029286811827957
V(Y[t],d=2,D=2)0.00609894249554365Range0.2938Trim Var.0.00439403288505746
V(Y[t],d=3,D=2)0.0134623052272726Range0.530899999999999Trim Var.0.00795253322660093



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 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')