Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationMon, 17 Dec 2007 15:03:22 -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/17/t1197927998qw0y29zhk7uedes.htm/, Retrieved Fri, 03 May 2024 20:43:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4437, Retrieved Fri, 03 May 2024 20:43:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [] [2007-12-17 22:03:22] [ba3202e2798d2e4685d19d988e9c69df] [Current]
Feedback Forum

Post a new message
Dataseries X:
88
88,4
95
101,8
107,6
118,9
126,9
106,3
109,2
104,6
100,8
92,1
86,4
96
98,5
112
113,9
120
126,7
112,8
116,2
110,6
105
101,2
99,3
101,9
106,4
118,9
121,9
132
121,4
117
122,7
113
104
101,2
100,8
98,9
103
117,8
126,6
127,6
115,8
114,8
119,2
109,9
98,9
98,6
96,6
96,7
103,5
115,3
122,5
125,3
111,2
110,7
114,2
105,6
95,5
97,3
95,5
96,3
100,2
113,4
121,4
122,1
119,3
110,8
110,1
99,7
104,8
105,4




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=4437&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=4437&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4437&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)116.550185837246Range45.6Trim Var.81.0534027777778
V(Y[t],d=1,D=0)56.8393682092555Range35.4Trim Var.36.8811111111111
V(Y[t],d=2,D=0)92.8226004140787Range52.1Trim Var.51.1251612903226
V(Y[t],d=3,D=0)263.049863597613Range83.1Trim Var.149.526704918033
V(Y[t],d=0,D=1)27.1046440677966Range18.8Trim Var.21.0941194968554
V(Y[t],d=1,D=1)24.881642314436Range32.5Trim Var.10.5463860667634
V(Y[t],d=2,D=1)66.4346521476103Range48.1Trim Var.29.5007692307692
V(Y[t],d=3,D=1)200.069667919799Range82.1Trim Var.88.7026666666665
V(Y[t],d=0,D=2)41.4089317375887Range30.9Trim Var.21.3568234610918
V(Y[t],d=1,D=2)47.0899259944495Range32.3000000000000Trim Var.20.6906951219512
V(Y[t],d=2,D=2)133.631830917874Range54.4Trim Var.69.0699935897435
V(Y[t],d=3,D=2)415.754818181818Range98.4Trim Var.207.899203778677

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 116.550185837246 & Range & 45.6 & Trim Var. & 81.0534027777778 \tabularnewline
V(Y[t],d=1,D=0) & 56.8393682092555 & Range & 35.4 & Trim Var. & 36.8811111111111 \tabularnewline
V(Y[t],d=2,D=0) & 92.8226004140787 & Range & 52.1 & Trim Var. & 51.1251612903226 \tabularnewline
V(Y[t],d=3,D=0) & 263.049863597613 & Range & 83.1 & Trim Var. & 149.526704918033 \tabularnewline
V(Y[t],d=0,D=1) & 27.1046440677966 & Range & 18.8 & Trim Var. & 21.0941194968554 \tabularnewline
V(Y[t],d=1,D=1) & 24.881642314436 & Range & 32.5 & Trim Var. & 10.5463860667634 \tabularnewline
V(Y[t],d=2,D=1) & 66.4346521476103 & Range & 48.1 & Trim Var. & 29.5007692307692 \tabularnewline
V(Y[t],d=3,D=1) & 200.069667919799 & Range & 82.1 & Trim Var. & 88.7026666666665 \tabularnewline
V(Y[t],d=0,D=2) & 41.4089317375887 & Range & 30.9 & Trim Var. & 21.3568234610918 \tabularnewline
V(Y[t],d=1,D=2) & 47.0899259944495 & Range & 32.3000000000000 & Trim Var. & 20.6906951219512 \tabularnewline
V(Y[t],d=2,D=2) & 133.631830917874 & Range & 54.4 & Trim Var. & 69.0699935897435 \tabularnewline
V(Y[t],d=3,D=2) & 415.754818181818 & Range & 98.4 & Trim Var. & 207.899203778677 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4437&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]116.550185837246[/C][C]Range[/C][C]45.6[/C][C]Trim Var.[/C][C]81.0534027777778[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]56.8393682092555[/C][C]Range[/C][C]35.4[/C][C]Trim Var.[/C][C]36.8811111111111[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]92.8226004140787[/C][C]Range[/C][C]52.1[/C][C]Trim Var.[/C][C]51.1251612903226[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]263.049863597613[/C][C]Range[/C][C]83.1[/C][C]Trim Var.[/C][C]149.526704918033[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]27.1046440677966[/C][C]Range[/C][C]18.8[/C][C]Trim Var.[/C][C]21.0941194968554[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]24.881642314436[/C][C]Range[/C][C]32.5[/C][C]Trim Var.[/C][C]10.5463860667634[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]66.4346521476103[/C][C]Range[/C][C]48.1[/C][C]Trim Var.[/C][C]29.5007692307692[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]200.069667919799[/C][C]Range[/C][C]82.1[/C][C]Trim Var.[/C][C]88.7026666666665[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]41.4089317375887[/C][C]Range[/C][C]30.9[/C][C]Trim Var.[/C][C]21.3568234610918[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]47.0899259944495[/C][C]Range[/C][C]32.3000000000000[/C][C]Trim Var.[/C][C]20.6906951219512[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]133.631830917874[/C][C]Range[/C][C]54.4[/C][C]Trim Var.[/C][C]69.0699935897435[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]415.754818181818[/C][C]Range[/C][C]98.4[/C][C]Trim Var.[/C][C]207.899203778677[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4437&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4437&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)116.550185837246Range45.6Trim Var.81.0534027777778
V(Y[t],d=1,D=0)56.8393682092555Range35.4Trim Var.36.8811111111111
V(Y[t],d=2,D=0)92.8226004140787Range52.1Trim Var.51.1251612903226
V(Y[t],d=3,D=0)263.049863597613Range83.1Trim Var.149.526704918033
V(Y[t],d=0,D=1)27.1046440677966Range18.8Trim Var.21.0941194968554
V(Y[t],d=1,D=1)24.881642314436Range32.5Trim Var.10.5463860667634
V(Y[t],d=2,D=1)66.4346521476103Range48.1Trim Var.29.5007692307692
V(Y[t],d=3,D=1)200.069667919799Range82.1Trim Var.88.7026666666665
V(Y[t],d=0,D=2)41.4089317375887Range30.9Trim Var.21.3568234610918
V(Y[t],d=1,D=2)47.0899259944495Range32.3000000000000Trim Var.20.6906951219512
V(Y[t],d=2,D=2)133.631830917874Range54.4Trim Var.69.0699935897435
V(Y[t],d=3,D=2)415.754818181818Range98.4Trim Var.207.899203778677



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')