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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 computationThu, 26 Nov 2009 11:33:18 -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/2009/Nov/26/t1259260548yyt015afbxfv91a.htm/, Retrieved Sun, 28 Apr 2024 22:28:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60249, Retrieved Sun, 28 Apr 2024 22:28:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordstijdreeks= aantal bouwvergunningen
Estimated Impact114

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       [Variance Reduction Matrix] [Identifying Integ...] [2009-11-22 12:29:54] [b98453cac15ba1066b407e146608df68]
- R  D          [Variance Reduction Matrix] [variance reductio...] [2009-11-26 18:33:18] [03368d751914a6c247d86aff8eac7cbf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2465
1932
1993
2243
1758
1806
2063
1823
2137
2428
2139
2265
2615
2070
2794
2190
2434
2520
2063
2068
2537
1898
2139
2408
2725
2201
2311
2548
2276
2351
2280
2057
2479
2379
2295
2456
2546
2844
2260
2981
2678
3440
2842
2450
2669
2570
2540
2318
2930
2946
2799
2695
2498
2260
2160
2058
2533
2150
2172
2155
3016

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'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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60249&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60249&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60249&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'Gwilym Jenkins' @ 72.249.127.135






Variance Reduction Matrix
V(Y[t],d=0,D=0)111856.127322404Range1682Trim Var.62424.2322206096
V(Y[t],d=1,D=0)135896.287853107Range1500Trim Var.95207.9528301887
V(Y[t],d=2,D=0)388223.582700175Range2665Trim Var.254154.928882438
V(Y[t],d=3,D=0)1291604.51542650Range4784Trim Var.810767.119155354
V(Y[t],d=0,D=1)168264.663265306Range2269Trim Var.85436.2823920266
V(Y[t],d=1,D=1)226768.312056738Range1841Trim Var.149927.133565621
V(Y[t],d=2,D=1)714103.165587419Range3100Trim Var.488185.32195122
V(Y[t],d=3,D=1)2510998.0294686Range5912Trim Var.1785897.38205128
V(Y[t],d=0,D=2)465255.451951952Range3527Trim Var.238663.689393939
V(Y[t],d=1,D=2)657092.485714286Range3382Trim Var.432386.415322581
V(Y[t],d=2,D=2)2085142.13781513Range5912Trim Var.1336685.89247312
V(Y[t],d=3,D=2)7299939.80481283Range10448Trim Var.5000750.68505747

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 111856.127322404 & Range & 1682 & Trim Var. & 62424.2322206096 \tabularnewline
V(Y[t],d=1,D=0) & 135896.287853107 & Range & 1500 & Trim Var. & 95207.9528301887 \tabularnewline
V(Y[t],d=2,D=0) & 388223.582700175 & Range & 2665 & Trim Var. & 254154.928882438 \tabularnewline
V(Y[t],d=3,D=0) & 1291604.51542650 & Range & 4784 & Trim Var. & 810767.119155354 \tabularnewline
V(Y[t],d=0,D=1) & 168264.663265306 & Range & 2269 & Trim Var. & 85436.2823920266 \tabularnewline
V(Y[t],d=1,D=1) & 226768.312056738 & Range & 1841 & Trim Var. & 149927.133565621 \tabularnewline
V(Y[t],d=2,D=1) & 714103.165587419 & Range & 3100 & Trim Var. & 488185.32195122 \tabularnewline
V(Y[t],d=3,D=1) & 2510998.0294686 & Range & 5912 & Trim Var. & 1785897.38205128 \tabularnewline
V(Y[t],d=0,D=2) & 465255.451951952 & Range & 3527 & Trim Var. & 238663.689393939 \tabularnewline
V(Y[t],d=1,D=2) & 657092.485714286 & Range & 3382 & Trim Var. & 432386.415322581 \tabularnewline
V(Y[t],d=2,D=2) & 2085142.13781513 & Range & 5912 & Trim Var. & 1336685.89247312 \tabularnewline
V(Y[t],d=3,D=2) & 7299939.80481283 & Range & 10448 & Trim Var. & 5000750.68505747 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60249&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]111856.127322404[/C][C]Range[/C][C]1682[/C][C]Trim Var.[/C][C]62424.2322206096[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]135896.287853107[/C][C]Range[/C][C]1500[/C][C]Trim Var.[/C][C]95207.9528301887[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]388223.582700175[/C][C]Range[/C][C]2665[/C][C]Trim Var.[/C][C]254154.928882438[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1291604.51542650[/C][C]Range[/C][C]4784[/C][C]Trim Var.[/C][C]810767.119155354[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]168264.663265306[/C][C]Range[/C][C]2269[/C][C]Trim Var.[/C][C]85436.2823920266[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]226768.312056738[/C][C]Range[/C][C]1841[/C][C]Trim Var.[/C][C]149927.133565621[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]714103.165587419[/C][C]Range[/C][C]3100[/C][C]Trim Var.[/C][C]488185.32195122[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]2510998.0294686[/C][C]Range[/C][C]5912[/C][C]Trim Var.[/C][C]1785897.38205128[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]465255.451951952[/C][C]Range[/C][C]3527[/C][C]Trim Var.[/C][C]238663.689393939[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]657092.485714286[/C][C]Range[/C][C]3382[/C][C]Trim Var.[/C][C]432386.415322581[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]2085142.13781513[/C][C]Range[/C][C]5912[/C][C]Trim Var.[/C][C]1336685.89247312[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]7299939.80481283[/C][C]Range[/C][C]10448[/C][C]Trim Var.[/C][C]5000750.68505747[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60249&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60249&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)111856.127322404Range1682Trim Var.62424.2322206096
V(Y[t],d=1,D=0)135896.287853107Range1500Trim Var.95207.9528301887
V(Y[t],d=2,D=0)388223.582700175Range2665Trim Var.254154.928882438
V(Y[t],d=3,D=0)1291604.51542650Range4784Trim Var.810767.119155354
V(Y[t],d=0,D=1)168264.663265306Range2269Trim Var.85436.2823920266
V(Y[t],d=1,D=1)226768.312056738Range1841Trim Var.149927.133565621
V(Y[t],d=2,D=1)714103.165587419Range3100Trim Var.488185.32195122
V(Y[t],d=3,D=1)2510998.0294686Range5912Trim Var.1785897.38205128
V(Y[t],d=0,D=2)465255.451951952Range3527Trim Var.238663.689393939
V(Y[t],d=1,D=2)657092.485714286Range3382Trim Var.432386.415322581
V(Y[t],d=2,D=2)2085142.13781513Range5912Trim Var.1336685.89247312
V(Y[t],d=3,D=2)7299939.80481283Range10448Trim Var.5000750.68505747


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')