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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationWed, 21 Nov 2007 17:44:12 -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/2007/Nov/22/t11956918351ei79dwo29euwsm.htm/, Retrieved Thu, 02 May 2024 21:44:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5907, Retrieved Thu, 02 May 2024 21:44:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [WS9 Q2 variance r...] [2007-11-22 00:44:12] [d66dce91cbb8b108f7114f1eb0c2faa2] [Current]
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Dataseries X:
2529
2196
3202
2718
2728
2354
2697
2651
2067
2641
2539
2294
2712
2314
3092
2677
2813
2668
2939
2617
2231
2481
2421
2408
2560
2100
3315
2801
2403
3024
2507
2980
2211
2471
2594
2452
2232
2373
3127
2802
2641
2787
2619
2806
2193
2323
2529
2412
2262
2154
3230
2295
2715
2733
2317
2730
1913
2390
2484
1960




Summary of compuational 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 compuational 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=5907&T=0

[TABLE]
[ROW][C]Summary of compuational 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=5907&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5907&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 compuational 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)97224.0124293785Range1402Trim Var.61876.00174703
V(Y[t],d=1,D=0)218378.888369375Range2150Trim Var.131888.816400581
V(Y[t],d=2,D=0)703148.772232305Range3686Trim Var.478102.809954751
V(Y[t],d=3,D=0)2399775.04761905Range6770Trim Var.1634308.73490196
V(Y[t],d=0,D=1)45855.7867907801Range870Trim Var.28424.6370499419
V(Y[t],d=1,D=1)122400.037927845Range1583Trim Var.69063.7402439024
V(Y[t],d=2,D=1)420871.984541063Range3137Trim Var.215058.869230769
V(Y[t],d=3,D=1)1523956.01818182Range5991Trim Var.783675.090418354
V(Y[t],d=0,D=2)123798.2Range1322Trim Var.90388.0473790323
V(Y[t],d=1,D=2)392398.4Range2378Trim Var.273107.294623656
V(Y[t],d=2,D=2)1401372.83511586Range4596Trim Var.980358.091954023
V(Y[t],d=3,D=2)5193927.93939394Range8986Trim Var.3544170.87684729

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 97224.0124293785 & Range & 1402 & Trim Var. & 61876.00174703 \tabularnewline
V(Y[t],d=1,D=0) & 218378.888369375 & Range & 2150 & Trim Var. & 131888.816400581 \tabularnewline
V(Y[t],d=2,D=0) & 703148.772232305 & Range & 3686 & Trim Var. & 478102.809954751 \tabularnewline
V(Y[t],d=3,D=0) & 2399775.04761905 & Range & 6770 & Trim Var. & 1634308.73490196 \tabularnewline
V(Y[t],d=0,D=1) & 45855.7867907801 & Range & 870 & Trim Var. & 28424.6370499419 \tabularnewline
V(Y[t],d=1,D=1) & 122400.037927845 & Range & 1583 & Trim Var. & 69063.7402439024 \tabularnewline
V(Y[t],d=2,D=1) & 420871.984541063 & Range & 3137 & Trim Var. & 215058.869230769 \tabularnewline
V(Y[t],d=3,D=1) & 1523956.01818182 & Range & 5991 & Trim Var. & 783675.090418354 \tabularnewline
V(Y[t],d=0,D=2) & 123798.2 & Range & 1322 & Trim Var. & 90388.0473790323 \tabularnewline
V(Y[t],d=1,D=2) & 392398.4 & Range & 2378 & Trim Var. & 273107.294623656 \tabularnewline
V(Y[t],d=2,D=2) & 1401372.83511586 & Range & 4596 & Trim Var. & 980358.091954023 \tabularnewline
V(Y[t],d=3,D=2) & 5193927.93939394 & Range & 8986 & Trim Var. & 3544170.87684729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5907&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]97224.0124293785[/C][C]Range[/C][C]1402[/C][C]Trim Var.[/C][C]61876.00174703[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]218378.888369375[/C][C]Range[/C][C]2150[/C][C]Trim Var.[/C][C]131888.816400581[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]703148.772232305[/C][C]Range[/C][C]3686[/C][C]Trim Var.[/C][C]478102.809954751[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2399775.04761905[/C][C]Range[/C][C]6770[/C][C]Trim Var.[/C][C]1634308.73490196[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]45855.7867907801[/C][C]Range[/C][C]870[/C][C]Trim Var.[/C][C]28424.6370499419[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]122400.037927845[/C][C]Range[/C][C]1583[/C][C]Trim Var.[/C][C]69063.7402439024[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]420871.984541063[/C][C]Range[/C][C]3137[/C][C]Trim Var.[/C][C]215058.869230769[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1523956.01818182[/C][C]Range[/C][C]5991[/C][C]Trim Var.[/C][C]783675.090418354[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]123798.2[/C][C]Range[/C][C]1322[/C][C]Trim Var.[/C][C]90388.0473790323[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]392398.4[/C][C]Range[/C][C]2378[/C][C]Trim Var.[/C][C]273107.294623656[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]1401372.83511586[/C][C]Range[/C][C]4596[/C][C]Trim Var.[/C][C]980358.091954023[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]5193927.93939394[/C][C]Range[/C][C]8986[/C][C]Trim Var.[/C][C]3544170.87684729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5907&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5907&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)97224.0124293785Range1402Trim Var.61876.00174703
V(Y[t],d=1,D=0)218378.888369375Range2150Trim Var.131888.816400581
V(Y[t],d=2,D=0)703148.772232305Range3686Trim Var.478102.809954751
V(Y[t],d=3,D=0)2399775.04761905Range6770Trim Var.1634308.73490196
V(Y[t],d=0,D=1)45855.7867907801Range870Trim Var.28424.6370499419
V(Y[t],d=1,D=1)122400.037927845Range1583Trim Var.69063.7402439024
V(Y[t],d=2,D=1)420871.984541063Range3137Trim Var.215058.869230769
V(Y[t],d=3,D=1)1523956.01818182Range5991Trim Var.783675.090418354
V(Y[t],d=0,D=2)123798.2Range1322Trim Var.90388.0473790323
V(Y[t],d=1,D=2)392398.4Range2378Trim Var.273107.294623656
V(Y[t],d=2,D=2)1401372.83511586Range4596Trim Var.980358.091954023
V(Y[t],d=3,D=2)5193927.93939394Range8986Trim Var.3544170.87684729



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')