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Description of Statistical Computation

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 computationMon, 01 Dec 2008 13:05:08 -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/01/t1228162176jbfvv9f5qrs4is8.htm/, Retrieved Sun, 05 May 2024 20:12:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=27307, Retrieved Sun, 05 May 2024 20:12:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191

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] [NSTS Q8 Referenti...] [2008-12-01 20:05:08] [382e90e66f02be5ed86892bdc1574692] [Current]
-    D    [Variance Reduction Matrix] [NSTS Q8 Brent in ...] [2008-12-01 20:17:08] [d32f94eec6fe2d8c421bd223368a5ced]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.9554
0.9922
0.9778
0.9808
0.9811
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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 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=27307&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]2 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=27307&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27307&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Variance Reduction Matrix
V(Y[t],d=0,D=0)0.0108046043389831Range0.3962Trim Var.0.00779541372816212
V(Y[t],d=1,D=0)0.000662280642898889Range0.1263Trim Var.0.000433286313497822
V(Y[t],d=2,D=0)0.00102243126739262Range0.1399Trim Var.0.000696401700603317
V(Y[t],d=3,D=0)0.00245488510025062Range0.238Trim Var.0.00158068454117647
V(Y[t],d=0,D=1)0.00816389730053191Range0.3661Trim Var.0.00501069491289199
V(Y[t],d=1,D=1)0.00145311053654024Range0.147300000000000Trim Var.0.00101322975609756
V(Y[t],d=2,D=1)0.00212388638164251Range0.1606Trim Var.0.00161617433333333
V(Y[t],d=3,D=1)0.00493340240404038Range0.290299999999999Trim Var.0.00293118798920376
V(Y[t],d=0,D=2)0.0209017134206349Range0.5583Trim Var.0.0145879166834677
V(Y[t],d=1,D=2)0.00479231868907562Range0.247599999999999Trim Var.0.00345928498924731
V(Y[t],d=2,D=2)0.007056416372549Range0.2955Trim Var.0.00535080947126434
V(Y[t],d=3,D=2)0.0161518307954545Range0.551799999999999Trim Var.0.00958516999999995

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.0108046043389831 & Range & 0.3962 & Trim Var. & 0.00779541372816212 \tabularnewline
V(Y[t],d=1,D=0) & 0.000662280642898889 & Range & 0.1263 & Trim Var. & 0.000433286313497822 \tabularnewline
V(Y[t],d=2,D=0) & 0.00102243126739262 & Range & 0.1399 & Trim Var. & 0.000696401700603317 \tabularnewline
V(Y[t],d=3,D=0) & 0.00245488510025062 & Range & 0.238 & Trim Var. & 0.00158068454117647 \tabularnewline
V(Y[t],d=0,D=1) & 0.00816389730053191 & Range & 0.3661 & Trim Var. & 0.00501069491289199 \tabularnewline
V(Y[t],d=1,D=1) & 0.00145311053654024 & Range & 0.147300000000000 & Trim Var. & 0.00101322975609756 \tabularnewline
V(Y[t],d=2,D=1) & 0.00212388638164251 & Range & 0.1606 & Trim Var. & 0.00161617433333333 \tabularnewline
V(Y[t],d=3,D=1) & 0.00493340240404038 & Range & 0.290299999999999 & Trim Var. & 0.00293118798920376 \tabularnewline
V(Y[t],d=0,D=2) & 0.0209017134206349 & Range & 0.5583 & Trim Var. & 0.0145879166834677 \tabularnewline
V(Y[t],d=1,D=2) & 0.00479231868907562 & Range & 0.247599999999999 & Trim Var. & 0.00345928498924731 \tabularnewline
V(Y[t],d=2,D=2) & 0.007056416372549 & Range & 0.2955 & Trim Var. & 0.00535080947126434 \tabularnewline
V(Y[t],d=3,D=2) & 0.0161518307954545 & Range & 0.551799999999999 & Trim Var. & 0.00958516999999995 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=27307&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.0108046043389831[/C][C]Range[/C][C]0.3962[/C][C]Trim Var.[/C][C]0.00779541372816212[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.000662280642898889[/C][C]Range[/C][C]0.1263[/C][C]Trim Var.[/C][C]0.000433286313497822[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.00102243126739262[/C][C]Range[/C][C]0.1399[/C][C]Trim Var.[/C][C]0.000696401700603317[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.00245488510025062[/C][C]Range[/C][C]0.238[/C][C]Trim Var.[/C][C]0.00158068454117647[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.00816389730053191[/C][C]Range[/C][C]0.3661[/C][C]Trim Var.[/C][C]0.00501069491289199[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.00145311053654024[/C][C]Range[/C][C]0.147300000000000[/C][C]Trim Var.[/C][C]0.00101322975609756[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.00212388638164251[/C][C]Range[/C][C]0.1606[/C][C]Trim Var.[/C][C]0.00161617433333333[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.00493340240404038[/C][C]Range[/C][C]0.290299999999999[/C][C]Trim Var.[/C][C]0.00293118798920376[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.0209017134206349[/C][C]Range[/C][C]0.5583[/C][C]Trim Var.[/C][C]0.0145879166834677[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.00479231868907562[/C][C]Range[/C][C]0.247599999999999[/C][C]Trim Var.[/C][C]0.00345928498924731[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.007056416372549[/C][C]Range[/C][C]0.2955[/C][C]Trim Var.[/C][C]0.00535080947126434[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.0161518307954545[/C][C]Range[/C][C]0.551799999999999[/C][C]Trim Var.[/C][C]0.00958516999999995[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=27307&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=27307&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)0.0108046043389831Range0.3962Trim Var.0.00779541372816212
V(Y[t],d=1,D=0)0.000662280642898889Range0.1263Trim Var.0.000433286313497822
V(Y[t],d=2,D=0)0.00102243126739262Range0.1399Trim Var.0.000696401700603317
V(Y[t],d=3,D=0)0.00245488510025062Range0.238Trim Var.0.00158068454117647
V(Y[t],d=0,D=1)0.00816389730053191Range0.3661Trim Var.0.00501069491289199
V(Y[t],d=1,D=1)0.00145311053654024Range0.147300000000000Trim Var.0.00101322975609756
V(Y[t],d=2,D=1)0.00212388638164251Range0.1606Trim Var.0.00161617433333333
V(Y[t],d=3,D=1)0.00493340240404038Range0.290299999999999Trim Var.0.00293118798920376
V(Y[t],d=0,D=2)0.0209017134206349Range0.5583Trim Var.0.0145879166834677
V(Y[t],d=1,D=2)0.00479231868907562Range0.247599999999999Trim Var.0.00345928498924731
V(Y[t],d=2,D=2)0.007056416372549Range0.2955Trim Var.0.00535080947126434
V(Y[t],d=3,D=2)0.0161518307954545Range0.551799999999999Trim Var.0.00958516999999995


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')