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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, 20 Dec 2010 11:04:10 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/20/t12928429200790a87j0i10d43.htm/, Retrieved Sat, 04 May 2024 04:21:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112840, Retrieved Sat, 04 May 2024 04:21:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [Variance Reduction Matrix] [Births] [2010-11-29 09:39:41] [b98453cac15ba1066b407e146608df68]
-   PD            [Variance Reduction Matrix] [] [2010-12-20 11:04:10] [d1991ab4912b5ede0ff54c26afa5d84c] [Current]
-    D              [Variance Reduction Matrix] [] [2010-12-21 17:47:39] [94f4aa1c01e87d8321fffb341ed4df07]
-    D              [Variance Reduction Matrix] [] [2010-12-21 19:02:10] [94f4aa1c01e87d8321fffb341ed4df07]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2539,91
2502,66
2466,92
2513,17
2443,27
2293,41
2070,83
2029,60
2052,02
1864,44
1670,07
1810,99
1905,41
1862,83
2014,45
2197,82
2962,34
3047,03
3032,60
3504,37
3801,06
3857,62
3674,40
3720,98
3844,49
4116,68
4105,18
4435,23
4296,49
4202,52
4562,84
4621,40
4696,96
4591,27
4356,98
4502,64
4443,91
4290,89
4199,75
4138,52
3970,10
3862,27
3701,61
3570,12
3801,06
3895,51
3917,96
3813,06
3667,03

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112840&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112840&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 time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Variance Reduction Matrix
V(Y[t],d=0,D=0)918179.567680187Range3026.89Trim Var.753009.568003987
V(Y[t],d=1,D=0)38911.2441120567Range998.81Trim Var.18912.3659710221
V(Y[t],d=2,D=0)59026.5059296022Range1260.98Trim Var.29029.5822059757
V(Y[t],d=3,D=0)163800.613017198Range1886.22Trim Var.88649.0076746156
V(Y[t],d=0,D=1)1132444.30212132Range3305.13Trim Var.948864.566142235
V(Y[t],d=1,D=1)100921.468574286Range1737.68Trim Var.47934.0539532258
V(Y[t],d=2,D=1)159248.487569412Range1774.54Trim Var.89217.130292473
V(Y[t],d=3,D=1)472713.727710249Range3134.28Trim Var.270403.877609195
V(Y[t],d=0,D=2)2815985.767274Range5427.8Trim Var.1891136.89482143
V(Y[t],d=1,D=2)310139.466605797Range2611.26Trim Var.141020.461467368
V(Y[t],d=2,D=2)651250.706377075Range3158.78Trim Var.351955.576915205
V(Y[t],d=3,D=2)1959747.08757056Range5192.03Trim Var.1064064.06333497

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 918179.567680187 & Range & 3026.89 & Trim Var. & 753009.568003987 \tabularnewline
V(Y[t],d=1,D=0) & 38911.2441120567 & Range & 998.81 & Trim Var. & 18912.3659710221 \tabularnewline
V(Y[t],d=2,D=0) & 59026.5059296022 & Range & 1260.98 & Trim Var. & 29029.5822059757 \tabularnewline
V(Y[t],d=3,D=0) & 163800.613017198 & Range & 1886.22 & Trim Var. & 88649.0076746156 \tabularnewline
V(Y[t],d=0,D=1) & 1132444.30212132 & Range & 3305.13 & Trim Var. & 948864.566142235 \tabularnewline
V(Y[t],d=1,D=1) & 100921.468574286 & Range & 1737.68 & Trim Var. & 47934.0539532258 \tabularnewline
V(Y[t],d=2,D=1) & 159248.487569412 & Range & 1774.54 & Trim Var. & 89217.130292473 \tabularnewline
V(Y[t],d=3,D=1) & 472713.727710249 & Range & 3134.28 & Trim Var. & 270403.877609195 \tabularnewline
V(Y[t],d=0,D=2) & 2815985.767274 & Range & 5427.8 & Trim Var. & 1891136.89482143 \tabularnewline
V(Y[t],d=1,D=2) & 310139.466605797 & Range & 2611.26 & Trim Var. & 141020.461467368 \tabularnewline
V(Y[t],d=2,D=2) & 651250.706377075 & Range & 3158.78 & Trim Var. & 351955.576915205 \tabularnewline
V(Y[t],d=3,D=2) & 1959747.08757056 & Range & 5192.03 & Trim Var. & 1064064.06333497 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112840&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]918179.567680187[/C][C]Range[/C][C]3026.89[/C][C]Trim Var.[/C][C]753009.568003987[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]38911.2441120567[/C][C]Range[/C][C]998.81[/C][C]Trim Var.[/C][C]18912.3659710221[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]59026.5059296022[/C][C]Range[/C][C]1260.98[/C][C]Trim Var.[/C][C]29029.5822059757[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]163800.613017198[/C][C]Range[/C][C]1886.22[/C][C]Trim Var.[/C][C]88649.0076746156[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1132444.30212132[/C][C]Range[/C][C]3305.13[/C][C]Trim Var.[/C][C]948864.566142235[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]100921.468574286[/C][C]Range[/C][C]1737.68[/C][C]Trim Var.[/C][C]47934.0539532258[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]159248.487569412[/C][C]Range[/C][C]1774.54[/C][C]Trim Var.[/C][C]89217.130292473[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]472713.727710249[/C][C]Range[/C][C]3134.28[/C][C]Trim Var.[/C][C]270403.877609195[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]2815985.767274[/C][C]Range[/C][C]5427.8[/C][C]Trim Var.[/C][C]1891136.89482143[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]310139.466605797[/C][C]Range[/C][C]2611.26[/C][C]Trim Var.[/C][C]141020.461467368[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]651250.706377075[/C][C]Range[/C][C]3158.78[/C][C]Trim Var.[/C][C]351955.576915205[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1959747.08757056[/C][C]Range[/C][C]5192.03[/C][C]Trim Var.[/C][C]1064064.06333497[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112840&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)918179.567680187Range3026.89Trim Var.753009.568003987
V(Y[t],d=1,D=0)38911.2441120567Range998.81Trim Var.18912.3659710221
V(Y[t],d=2,D=0)59026.5059296022Range1260.98Trim Var.29029.5822059757
V(Y[t],d=3,D=0)163800.613017198Range1886.22Trim Var.88649.0076746156
V(Y[t],d=0,D=1)1132444.30212132Range3305.13Trim Var.948864.566142235
V(Y[t],d=1,D=1)100921.468574286Range1737.68Trim Var.47934.0539532258
V(Y[t],d=2,D=1)159248.487569412Range1774.54Trim Var.89217.130292473
V(Y[t],d=3,D=1)472713.727710249Range3134.28Trim Var.270403.877609195
V(Y[t],d=0,D=2)2815985.767274Range5427.8Trim Var.1891136.89482143
V(Y[t],d=1,D=2)310139.466605797Range2611.26Trim Var.141020.461467368
V(Y[t],d=2,D=2)651250.706377075Range3158.78Trim Var.351955.576915205
V(Y[t],d=3,D=2)1959747.08757056Range5192.03Trim Var.1064064.06333497


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')