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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, 05 Dec 2011 14:40:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/05/t1323114025vnjebvnyi46gp6d.htm/, Retrieved Fri, 03 May 2024 06:37:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151213, Retrieved Fri, 03 May 2024 06:37:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
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]
- R PD          [Variance Reduction Matrix] [WS9 3.3 VRM matrix ] [2010-12-07 10:25:28] [afe9379cca749d06b3d6872e02cc47ed]
- R PD              [Variance Reduction Matrix] [ws9-7] [2011-12-05 19:40:14] [47995d3a8fac585eeb070a274b466f8c] [Current]
-  MP                 [Variance Reduction Matrix] [paper2-7] [2011-12-21 20:52:59] [f7a862281046b7153543b12c78921b36]
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Dataseries X:
1770
2203
2836
1976
2837
2150
2180
2631
1781
2327
2260
2051
2250
2102
2957
2485
2871
2447
2570
2622
1840
2682
2369
2119
2531
2214
3206
2709
2734
2348
2702
2642
2064
2647
2534
2297
2718
2321
3112
2664
2808
2668
2934
2616
2228
2463
2416
2407
2582
2101
3305
2818
2401
3019
2507
2948
2210
2467
2596
2451




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151213&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151213&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151213&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Variance Reduction Matrix
V(Y[t],d=0,D=0)115197.114124294Range1535Trim Var.71506.4975541579
V(Y[t],d=1,D=0)247637.976621859Range2064Trim Var.175422.771407837
V(Y[t],d=2,D=0)829882.630369026Range3412Trim Var.615118.368024133
V(Y[t],d=3,D=0)2981135.04135338Range6590Trim Var.2267650.70352941
V(Y[t],d=0,D=1)40611.7761524823Range936Trim Var.21432.2833914053
V(Y[t],d=1,D=1)97497.0740055504Range1537Trim Var.47631.9597560976
V(Y[t],d=2,D=1)311362.402415459Range3073Trim Var.126476.079487179
V(Y[t],d=3,D=1)1054821.49494949Range5928Trim Var.389519.851551957
V(Y[t],d=0,D=2)66276.5428571429Range1078Trim Var.44507.9747983871
V(Y[t],d=1,D=2)145191.929411765Range1707Trim Var.86223.9161290323
V(Y[t],d=2,D=2)441530.998217469Range3264Trim Var.219189.636781609
V(Y[t],d=3,D=2)1518836.65530303Range6173Trim Var.630938.544334975

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 115197.114124294 & Range & 1535 & Trim Var. & 71506.4975541579 \tabularnewline
V(Y[t],d=1,D=0) & 247637.976621859 & Range & 2064 & Trim Var. & 175422.771407837 \tabularnewline
V(Y[t],d=2,D=0) & 829882.630369026 & Range & 3412 & Trim Var. & 615118.368024133 \tabularnewline
V(Y[t],d=3,D=0) & 2981135.04135338 & Range & 6590 & Trim Var. & 2267650.70352941 \tabularnewline
V(Y[t],d=0,D=1) & 40611.7761524823 & Range & 936 & Trim Var. & 21432.2833914053 \tabularnewline
V(Y[t],d=1,D=1) & 97497.0740055504 & Range & 1537 & Trim Var. & 47631.9597560976 \tabularnewline
V(Y[t],d=2,D=1) & 311362.402415459 & Range & 3073 & Trim Var. & 126476.079487179 \tabularnewline
V(Y[t],d=3,D=1) & 1054821.49494949 & Range & 5928 & Trim Var. & 389519.851551957 \tabularnewline
V(Y[t],d=0,D=2) & 66276.5428571429 & Range & 1078 & Trim Var. & 44507.9747983871 \tabularnewline
V(Y[t],d=1,D=2) & 145191.929411765 & Range & 1707 & Trim Var. & 86223.9161290323 \tabularnewline
V(Y[t],d=2,D=2) & 441530.998217469 & Range & 3264 & Trim Var. & 219189.636781609 \tabularnewline
V(Y[t],d=3,D=2) & 1518836.65530303 & Range & 6173 & Trim Var. & 630938.544334975 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151213&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]115197.114124294[/C][C]Range[/C][C]1535[/C][C]Trim Var.[/C][C]71506.4975541579[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]247637.976621859[/C][C]Range[/C][C]2064[/C][C]Trim Var.[/C][C]175422.771407837[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]829882.630369026[/C][C]Range[/C][C]3412[/C][C]Trim Var.[/C][C]615118.368024133[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2981135.04135338[/C][C]Range[/C][C]6590[/C][C]Trim Var.[/C][C]2267650.70352941[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]40611.7761524823[/C][C]Range[/C][C]936[/C][C]Trim Var.[/C][C]21432.2833914053[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]97497.0740055504[/C][C]Range[/C][C]1537[/C][C]Trim Var.[/C][C]47631.9597560976[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]311362.402415459[/C][C]Range[/C][C]3073[/C][C]Trim Var.[/C][C]126476.079487179[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1054821.49494949[/C][C]Range[/C][C]5928[/C][C]Trim Var.[/C][C]389519.851551957[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]66276.5428571429[/C][C]Range[/C][C]1078[/C][C]Trim Var.[/C][C]44507.9747983871[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]145191.929411765[/C][C]Range[/C][C]1707[/C][C]Trim Var.[/C][C]86223.9161290323[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]441530.998217469[/C][C]Range[/C][C]3264[/C][C]Trim Var.[/C][C]219189.636781609[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1518836.65530303[/C][C]Range[/C][C]6173[/C][C]Trim Var.[/C][C]630938.544334975[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151213&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151213&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)115197.114124294Range1535Trim Var.71506.4975541579
V(Y[t],d=1,D=0)247637.976621859Range2064Trim Var.175422.771407837
V(Y[t],d=2,D=0)829882.630369026Range3412Trim Var.615118.368024133
V(Y[t],d=3,D=0)2981135.04135338Range6590Trim Var.2267650.70352941
V(Y[t],d=0,D=1)40611.7761524823Range936Trim Var.21432.2833914053
V(Y[t],d=1,D=1)97497.0740055504Range1537Trim Var.47631.9597560976
V(Y[t],d=2,D=1)311362.402415459Range3073Trim Var.126476.079487179
V(Y[t],d=3,D=1)1054821.49494949Range5928Trim Var.389519.851551957
V(Y[t],d=0,D=2)66276.5428571429Range1078Trim Var.44507.9747983871
V(Y[t],d=1,D=2)145191.929411765Range1707Trim Var.86223.9161290323
V(Y[t],d=2,D=2)441530.998217469Range3264Trim Var.219189.636781609
V(Y[t],d=3,D=2)1518836.65530303Range6173Trim Var.630938.544334975



Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 1 ; par4 = 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')