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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 computationSun, 29 Mar 2009 09:53:01 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/29/t12383420218vkmy9gsb17734e.htm/, Retrieved Fri, 26 Apr 2024 13:25:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39227, Retrieved Fri, 26 Apr 2024 13:25:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact236

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] [Werkloosheid bij 50+] [2008-12-14 20:13:54] [11ac052cc87d77b9933b02bea117068e]
-   PD    [Variance Reduction Matrix] [Aantal diploma's] [2009-03-29 15:53:01] [99f79d508deef838ee89a56fb32f134e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3900
4307
4631
4347
4287
3801
4916
4591
4433
4317
4316
4284
4512
4378
4869
4799
3771

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39227&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]0 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=39227&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39227&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132






Variance Reduction Matrix
V(Y[t],d=0,D=0)112412.933823529Range1145Trim Var.81434.6
V(Y[t],d=1,D=0)223402.4625Range2143Trim Var.80671.956043956
V(Y[t],d=2,D=0)498094.095238095Range3041Trim Var.189821.525641026
V(Y[t],d=3,D=0)1563594.57692308Range5068Trim Var.638490.628787879
V(Y[t],d=0,D=1)223402.4625Range2143Trim Var.80671.956043956
V(Y[t],d=1,D=1)498094.095238095Range3041Trim Var.189821.525641026
V(Y[t],d=2,D=1)1563594.57692308Range5068Trim Var.638490.628787879
V(Y[t],d=3,D=1)5878018.97435897Range9716Trim Var.2322165.96363636
V(Y[t],d=0,D=2)498094.095238095Range3041Trim Var.189821.525641026
V(Y[t],d=1,D=2)1563594.57692308Range5068Trim Var.638490.628787879
V(Y[t],d=2,D=2)5878018.97435897Range9716Trim Var.2322165.96363636
V(Y[t],d=3,D=2)23273588.6060606Range17461Trim Var.11222891.8777778

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 112412.933823529 & Range & 1145 & Trim Var. & 81434.6 \tabularnewline
V(Y[t],d=1,D=0) & 223402.4625 & Range & 2143 & Trim Var. & 80671.956043956 \tabularnewline
V(Y[t],d=2,D=0) & 498094.095238095 & Range & 3041 & Trim Var. & 189821.525641026 \tabularnewline
V(Y[t],d=3,D=0) & 1563594.57692308 & Range & 5068 & Trim Var. & 638490.628787879 \tabularnewline
V(Y[t],d=0,D=1) & 223402.4625 & Range & 2143 & Trim Var. & 80671.956043956 \tabularnewline
V(Y[t],d=1,D=1) & 498094.095238095 & Range & 3041 & Trim Var. & 189821.525641026 \tabularnewline
V(Y[t],d=2,D=1) & 1563594.57692308 & Range & 5068 & Trim Var. & 638490.628787879 \tabularnewline
V(Y[t],d=3,D=1) & 5878018.97435897 & Range & 9716 & Trim Var. & 2322165.96363636 \tabularnewline
V(Y[t],d=0,D=2) & 498094.095238095 & Range & 3041 & Trim Var. & 189821.525641026 \tabularnewline
V(Y[t],d=1,D=2) & 1563594.57692308 & Range & 5068 & Trim Var. & 638490.628787879 \tabularnewline
V(Y[t],d=2,D=2) & 5878018.97435897 & Range & 9716 & Trim Var. & 2322165.96363636 \tabularnewline
V(Y[t],d=3,D=2) & 23273588.6060606 & Range & 17461 & Trim Var. & 11222891.8777778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39227&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]112412.933823529[/C][C]Range[/C][C]1145[/C][C]Trim Var.[/C][C]81434.6[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]223402.4625[/C][C]Range[/C][C]2143[/C][C]Trim Var.[/C][C]80671.956043956[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]498094.095238095[/C][C]Range[/C][C]3041[/C][C]Trim Var.[/C][C]189821.525641026[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1563594.57692308[/C][C]Range[/C][C]5068[/C][C]Trim Var.[/C][C]638490.628787879[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]223402.4625[/C][C]Range[/C][C]2143[/C][C]Trim Var.[/C][C]80671.956043956[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]498094.095238095[/C][C]Range[/C][C]3041[/C][C]Trim Var.[/C][C]189821.525641026[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]1563594.57692308[/C][C]Range[/C][C]5068[/C][C]Trim Var.[/C][C]638490.628787879[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]5878018.97435897[/C][C]Range[/C][C]9716[/C][C]Trim Var.[/C][C]2322165.96363636[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]498094.095238095[/C][C]Range[/C][C]3041[/C][C]Trim Var.[/C][C]189821.525641026[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]1563594.57692308[/C][C]Range[/C][C]5068[/C][C]Trim Var.[/C][C]638490.628787879[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]5878018.97435897[/C][C]Range[/C][C]9716[/C][C]Trim Var.[/C][C]2322165.96363636[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]23273588.6060606[/C][C]Range[/C][C]17461[/C][C]Trim Var.[/C][C]11222891.8777778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39227&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39227&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)112412.933823529Range1145Trim Var.81434.6
V(Y[t],d=1,D=0)223402.4625Range2143Trim Var.80671.956043956
V(Y[t],d=2,D=0)498094.095238095Range3041Trim Var.189821.525641026
V(Y[t],d=3,D=0)1563594.57692308Range5068Trim Var.638490.628787879
V(Y[t],d=0,D=1)223402.4625Range2143Trim Var.80671.956043956
V(Y[t],d=1,D=1)498094.095238095Range3041Trim Var.189821.525641026
V(Y[t],d=2,D=1)1563594.57692308Range5068Trim Var.638490.628787879
V(Y[t],d=3,D=1)5878018.97435897Range9716Trim Var.2322165.96363636
V(Y[t],d=0,D=2)498094.095238095Range3041Trim Var.189821.525641026
V(Y[t],d=1,D=2)1563594.57692308Range5068Trim Var.638490.628787879
V(Y[t],d=2,D=2)5878018.97435897Range9716Trim Var.2322165.96363636
V(Y[t],d=3,D=2)23273588.6060606Range17461Trim Var.11222891.8777778


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 1 ;
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')