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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 computationFri, 03 Dec 2010 17:46:28 +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/03/t129139863316j16ceeszfksgh.htm/, Retrieved Sun, 28 Apr 2024 21:00:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104952, Retrieved Sun, 28 Apr 2024 21:00:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179

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] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
-   PD    [Variance Reduction Matrix] [WS 9 Variance Red...] [2010-12-03 17:46:28] [4d0f7ea43b071af5c75b527ee1ef14c2] [Current]
-    D      [Variance Reduction Matrix] [Workshop 9, VRM] [2010-12-05 18:42:47] [3635fb7041b1998c5a1332cf9de22bce]
-             [Variance Reduction Matrix] [Workshop 9, Stati...] [2010-12-06 20:19:21] [d946de7cca328fbcf207448a112523ab]
-    D          [Variance Reduction Matrix] [WS10, Variance Re...] [2010-12-12 11:02:03] [d946de7cca328fbcf207448a112523ab]
-    D          [Variance Reduction Matrix] [Paper VRM werklozen] [2010-12-19 15:30:38] [d946de7cca328fbcf207448a112523ab]
-             [Variance Reduction Matrix] [WS 9] [2010-12-07 16:31:29] [4f85667043e8913570b3eb8f368f82b2]
- R  D        [Variance Reduction Matrix] [Paper VRM] [2010-12-19 14:36:42] [3635fb7041b1998c5a1332cf9de22bce]
-    D          [Variance Reduction Matrix] [Paper VRM werklozen] [2010-12-19 16:11:31] [d946de7cca328fbcf207448a112523ab]
- RM D          [(Partial) Autocorrelation Function] [Paper VRM 2] [2010-12-19 20:40:03] [3635fb7041b1998c5a1332cf9de22bce]
-   P             [(Partial) Autocorrelation Function] [Variance Reductio...] [2010-12-22 08:43:47] [8081b8996d5947580de3eb171e82db4f]
-   P             [(Partial) Autocorrelation Function] [Paper Variance Re...] [2010-12-22 09:01:18] [d946de7cca328fbcf207448a112523ab]
- R  D        [Variance Reduction Matrix] [WS9 VRM ] [2011-12-01 21:39:41] [74be16979710d4c4e7c6647856088456]
- R           [Variance Reduction Matrix] [] [2011-12-02 09:17:55] [46896e8a404bb9354f2d070359621409]
- RM          [Variance Reduction Matrix] [] [2011-12-02 20:00:52] [74be16979710d4c4e7c6647856088456]
- R           [Variance Reduction Matrix] [variance reductio...] [2011-12-05 14:41:55] [c505444e07acba7694d29053ca5d114e]
- R           [Variance Reduction Matrix] [Variance Reductio...] [2011-12-06 10:57:11] [74be16979710d4c4e7c6647856088456]
- R             [Variance Reduction Matrix] [ws9] [2012-12-02 12:29:05] [000f7cd337b3382b4028da000456dfed]
- RM            [Standard Deviation-Mean Plot] [ws9] [2012-12-02 12:36:11] [000f7cd337b3382b4028da000456dfed]
-    D      [Variance Reduction Matrix] [WS 9 Variance Red...] [2010-12-05 18:57:57] [8081b8996d5947580de3eb171e82db4f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1407026
1370199
964526
850851
683118
847224
1073256
1514326
1503734
1507712
2865698
2788128
1391596
1366378
946295
859626

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104952&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104952&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104952&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'George Udny Yule' @ 72.249.76.132






Variance Reduction Matrix
V(Y[t],d=0,D=0)400986410730.963Range2182580Trim Var.250878566121.148
V(Y[t],d=1,D=0)317482901950.524Range2754518Trim Var.54199299862.0897
V(Y[t],d=2,D=0)643835689791.516Range2806870Trim Var.402609183290.727
V(Y[t],d=3,D=0)1825193881804.33Range5479840Trim Var.686260320091.6
V(Y[t],d=0,D=1)152010654.916667Range27006Trim Var.67384440.5
V(Y[t],d=1,D=1)438223504.333333Range41416Trim Var.NA
V(Y[t],d=2,D=1)2273739612.5Range67435Trim Var.NA
V(Y[t],d=3,D=1)NARange0Trim Var.NA
V(Y[t],d=0,D=2)NARange-InfTrim Var.NA
V(Y[t],d=1,D=2)NARange-InfTrim Var.NA
V(Y[t],d=2,D=2)NARange-InfTrim Var.NA
V(Y[t],d=3,D=2)NARange-InfTrim Var.NA

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 400986410730.963 & Range & 2182580 & Trim Var. & 250878566121.148 \tabularnewline
V(Y[t],d=1,D=0) & 317482901950.524 & Range & 2754518 & Trim Var. & 54199299862.0897 \tabularnewline
V(Y[t],d=2,D=0) & 643835689791.516 & Range & 2806870 & Trim Var. & 402609183290.727 \tabularnewline
V(Y[t],d=3,D=0) & 1825193881804.33 & Range & 5479840 & Trim Var. & 686260320091.6 \tabularnewline
V(Y[t],d=0,D=1) & 152010654.916667 & Range & 27006 & Trim Var. & 67384440.5 \tabularnewline
V(Y[t],d=1,D=1) & 438223504.333333 & Range & 41416 & Trim Var. & NA \tabularnewline
V(Y[t],d=2,D=1) & 2273739612.5 & Range & 67435 & Trim Var. & NA \tabularnewline
V(Y[t],d=3,D=1) & NA & Range & 0 & Trim Var. & NA \tabularnewline
V(Y[t],d=0,D=2) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
V(Y[t],d=1,D=2) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
V(Y[t],d=2,D=2) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
V(Y[t],d=3,D=2) & NA & Range & -Inf & Trim Var. & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104952&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]400986410730.963[/C][C]Range[/C][C]2182580[/C][C]Trim Var.[/C][C]250878566121.148[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]317482901950.524[/C][C]Range[/C][C]2754518[/C][C]Trim Var.[/C][C]54199299862.0897[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]643835689791.516[/C][C]Range[/C][C]2806870[/C][C]Trim Var.[/C][C]402609183290.727[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1825193881804.33[/C][C]Range[/C][C]5479840[/C][C]Trim Var.[/C][C]686260320091.6[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]152010654.916667[/C][C]Range[/C][C]27006[/C][C]Trim Var.[/C][C]67384440.5[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]438223504.333333[/C][C]Range[/C][C]41416[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]2273739612.5[/C][C]Range[/C][C]67435[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]NA[/C][C]Range[/C][C]0[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]NA[/C][C]Range[/C][C]-Inf[/C][C]Trim Var.[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104952&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104952&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)400986410730.963Range2182580Trim Var.250878566121.148
V(Y[t],d=1,D=0)317482901950.524Range2754518Trim Var.54199299862.0897
V(Y[t],d=2,D=0)643835689791.516Range2806870Trim Var.402609183290.727
V(Y[t],d=3,D=0)1825193881804.33Range5479840Trim Var.686260320091.6
V(Y[t],d=0,D=1)152010654.916667Range27006Trim Var.67384440.5
V(Y[t],d=1,D=1)438223504.333333Range41416Trim Var.NA
V(Y[t],d=2,D=1)2273739612.5Range67435Trim Var.NA
V(Y[t],d=3,D=1)NARange0Trim Var.NA
V(Y[t],d=0,D=2)NARange-InfTrim Var.NA
V(Y[t],d=1,D=2)NARange-InfTrim Var.NA
V(Y[t],d=2,D=2)NARange-InfTrim Var.NA
V(Y[t],d=3,D=2)NARange-InfTrim Var.NA


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')