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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationSun, 07 Dec 2008 02:47:44 -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/07/t1228643317d974amgcufajx4x.htm/, Retrieved Wed, 22 May 2024 06:38:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29833, Retrieved Wed, 22 May 2024 06:38:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMPD    [Variance Reduction Matrix] [VRM investeringsg...] [2008-12-07 09:47:44] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum
2008-12-14 19:44:45 [Steven Vercammen] [reply] 
Dit heb ik correct toegepast

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93,4
101,5
110,4
105,9
108,4
113,9
86,1
69,4
101,2
100,5
98,0
106,6
90,1
96,9
125,9
112,0
100,0
123,9
79,8
83,4
113,6
112,9
104,0
109,9
99,0
106,3
128,9
111,1
102,9
130,0
87,0
87,5
117,6
103,4
110,8
112,6
102,5
112,4
135,6
105,1
127,7
137,0
91,0
90,5
122,4
123,3
124,3
120,0
118,1
119,0
142,7
123,6
129,6
151,6
110,4
99,2
130,5
136,2
129,7
128,0
121,6
135,8
143,8
147,5
136,2
156,6
123,3
104,5
143,6

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29833&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29833&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29833&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'Gwilym Jenkins' @ 72.249.127.135






Variance Reduction Matrix
V(Y[t],d=0,D=0)335.894501278772Range87.2Trim Var.212.137240437158
V(Y[t],d=1,D=0)384.820605794557Range85.1Trim Var.229.478598870056
V(Y[t],d=2,D=0)989.738738127544Range128Trim Var.652.373068381064
V(Y[t],d=3,D=0)2799.88292074592Range221.1Trim Var.1726.74807320024
V(Y[t],d=0,D=1)53.597656641604Range34.3Trim Var.30.9409960784314
V(Y[t],d=1,D=1)118.076675324675Range48.6Trim Var.76.0425959183673
V(Y[t],d=2,D=1)383.758228956229Range92.1Trim Var.225.674727891156
V(Y[t],d=3,D=1)1324.76213836478Range163.4Trim Var.793.713931737588
V(Y[t],d=0,D=2)117.914161616162Range52.3Trim Var.55.7407827260459
V(Y[t],d=1,D=2)259.886088794926Range77.9Trim Var.140.596728307255
V(Y[t],d=2,D=2)824.86349944629Range149.4Trim Var.442.122522522522
V(Y[t],d=3,D=2)2844.93707317073Range250Trim Var.1670.72492063492

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 335.894501278772 & Range & 87.2 & Trim Var. & 212.137240437158 \tabularnewline
V(Y[t],d=1,D=0) & 384.820605794557 & Range & 85.1 & Trim Var. & 229.478598870056 \tabularnewline
V(Y[t],d=2,D=0) & 989.738738127544 & Range & 128 & Trim Var. & 652.373068381064 \tabularnewline
V(Y[t],d=3,D=0) & 2799.88292074592 & Range & 221.1 & Trim Var. & 1726.74807320024 \tabularnewline
V(Y[t],d=0,D=1) & 53.597656641604 & Range & 34.3 & Trim Var. & 30.9409960784314 \tabularnewline
V(Y[t],d=1,D=1) & 118.076675324675 & Range & 48.6 & Trim Var. & 76.0425959183673 \tabularnewline
V(Y[t],d=2,D=1) & 383.758228956229 & Range & 92.1 & Trim Var. & 225.674727891156 \tabularnewline
V(Y[t],d=3,D=1) & 1324.76213836478 & Range & 163.4 & Trim Var. & 793.713931737588 \tabularnewline
V(Y[t],d=0,D=2) & 117.914161616162 & Range & 52.3 & Trim Var. & 55.7407827260459 \tabularnewline
V(Y[t],d=1,D=2) & 259.886088794926 & Range & 77.9 & Trim Var. & 140.596728307255 \tabularnewline
V(Y[t],d=2,D=2) & 824.86349944629 & Range & 149.4 & Trim Var. & 442.122522522522 \tabularnewline
V(Y[t],d=3,D=2) & 2844.93707317073 & Range & 250 & Trim Var. & 1670.72492063492 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29833&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]335.894501278772[/C][C]Range[/C][C]87.2[/C][C]Trim Var.[/C][C]212.137240437158[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]384.820605794557[/C][C]Range[/C][C]85.1[/C][C]Trim Var.[/C][C]229.478598870056[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]989.738738127544[/C][C]Range[/C][C]128[/C][C]Trim Var.[/C][C]652.373068381064[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2799.88292074592[/C][C]Range[/C][C]221.1[/C][C]Trim Var.[/C][C]1726.74807320024[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]53.597656641604[/C][C]Range[/C][C]34.3[/C][C]Trim Var.[/C][C]30.9409960784314[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]118.076675324675[/C][C]Range[/C][C]48.6[/C][C]Trim Var.[/C][C]76.0425959183673[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]383.758228956229[/C][C]Range[/C][C]92.1[/C][C]Trim Var.[/C][C]225.674727891156[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1324.76213836478[/C][C]Range[/C][C]163.4[/C][C]Trim Var.[/C][C]793.713931737588[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]117.914161616162[/C][C]Range[/C][C]52.3[/C][C]Trim Var.[/C][C]55.7407827260459[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]259.886088794926[/C][C]Range[/C][C]77.9[/C][C]Trim Var.[/C][C]140.596728307255[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]824.86349944629[/C][C]Range[/C][C]149.4[/C][C]Trim Var.[/C][C]442.122522522522[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]2844.93707317073[/C][C]Range[/C][C]250[/C][C]Trim Var.[/C][C]1670.72492063492[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29833&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29833&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)335.894501278772Range87.2Trim Var.212.137240437158
V(Y[t],d=1,D=0)384.820605794557Range85.1Trim Var.229.478598870056
V(Y[t],d=2,D=0)989.738738127544Range128Trim Var.652.373068381064
V(Y[t],d=3,D=0)2799.88292074592Range221.1Trim Var.1726.74807320024
V(Y[t],d=0,D=1)53.597656641604Range34.3Trim Var.30.9409960784314
V(Y[t],d=1,D=1)118.076675324675Range48.6Trim Var.76.0425959183673
V(Y[t],d=2,D=1)383.758228956229Range92.1Trim Var.225.674727891156
V(Y[t],d=3,D=1)1324.76213836478Range163.4Trim Var.793.713931737588
V(Y[t],d=0,D=2)117.914161616162Range52.3Trim Var.55.7407827260459
V(Y[t],d=1,D=2)259.886088794926Range77.9Trim Var.140.596728307255
V(Y[t],d=2,D=2)824.86349944629Range149.4Trim Var.442.122522522522
V(Y[t],d=3,D=2)2844.93707317073Range250Trim Var.1670.72492063492


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')