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Author*The author of this computation has been verified*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationFri, 24 Dec 2010 10:52:18 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/24/t12931878516ssr45hpizrvfdp.htm/, Retrieved Tue, 30 Apr 2024 07:43:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114739, Retrieved Tue, 30 Apr 2024 07:43:20 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [] [2010-12-24 10:52:18] [3bdb54d050744f47368418ea7c7e8e96] [Current]
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Dataseries X:
11974
10106
12069
11412
11180
10508
11288
10928
10199
11030
11234
13747
13912
12376
12264
11675
11271
10672
10933
10379
10187
10747
10970
12175
14200
11676
11258
10872
11148
10690
10684
11658
10178
10981
10773
11665
11359
10716
12928
12317
11641
10459
10953
10703
10703
11101
11334
13268
13145
12334
13153
11289
11374
10914
11299
11284
10694
11077
11104
12820
14915
11773
11608
11468
11511
11200
11164
10960
10667
11556
11372
12333
13102
11115
12572
11557
12059
11420
11185
11113
10706
11523
11391
12634
13469
11735
13281
11968
11623
11084
11509
11134
10438
11530
11491
13093
13106
11305
13113
12203
11309
11088
11234
11619
10942
11445
11291
13281
13726
11300
11983
11092
11093
10692
10786
11166
10553
11103
10969
12090
12544
12264
13783
11214
11453
10883
10381
10348
10024
10805
10796
11907
12261
11377
12689
11474
10992
10764
12164
10409
10398
10349
10865
11630
12221
10884
12019
11021
10799
10423
10484
10450
9906
11049
11281
12485
12849
11380
12079
11366
11328
10444
10854
10434
10137
10992
10906
12367
14371
11695
11546
10922
10670
10254
10573
10239
10253
11176
10719
11817




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114739&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114739&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114739&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Variance Reduction Matrix
V(Y[t],d=0,D=0)874383.430509Range5009Trim Var.496166.749378882
V(Y[t],d=1,D=0)968091.063461176Range5655Trim Var.523189.777173913
V(Y[t],d=2,D=0)2524921.21906938Range9068Trim Var.1425563.81383648
V(Y[t],d=3,D=0)8103262.49698254Range14665Trim Var.4708522.67685694
V(Y[t],d=0,D=1)517693.75534645Range5111Trim Var.217365.958881432
V(Y[t],d=1,D=1)648910.091984705Range4961Trim Var.295746.608289498
V(Y[t],d=2,D=1)1594633.66794451Range8761Trim Var.718368.53957529
V(Y[t],d=3,D=1)4778504.00110865Range13215Trim Var.2242393.6052558
V(Y[t],d=0,D=2)1385831.49789082Range8210Trim Var.593306.49311408
V(Y[t],d=1,D=2)1870648.5771261Range7677Trim Var.945063.351475341
V(Y[t],d=2,D=2)4662750.00118835Range12265Trim Var.2452116.26912091
V(Y[t],d=3,D=2)14157614.6732026Range23219Trim Var.7367722.39555603

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 874383.430509 & Range & 5009 & Trim Var. & 496166.749378882 \tabularnewline
V(Y[t],d=1,D=0) & 968091.063461176 & Range & 5655 & Trim Var. & 523189.777173913 \tabularnewline
V(Y[t],d=2,D=0) & 2524921.21906938 & Range & 9068 & Trim Var. & 1425563.81383648 \tabularnewline
V(Y[t],d=3,D=0) & 8103262.49698254 & Range & 14665 & Trim Var. & 4708522.67685694 \tabularnewline
V(Y[t],d=0,D=1) & 517693.75534645 & Range & 5111 & Trim Var. & 217365.958881432 \tabularnewline
V(Y[t],d=1,D=1) & 648910.091984705 & Range & 4961 & Trim Var. & 295746.608289498 \tabularnewline
V(Y[t],d=2,D=1) & 1594633.66794451 & Range & 8761 & Trim Var. & 718368.53957529 \tabularnewline
V(Y[t],d=3,D=1) & 4778504.00110865 & Range & 13215 & Trim Var. & 2242393.6052558 \tabularnewline
V(Y[t],d=0,D=2) & 1385831.49789082 & Range & 8210 & Trim Var. & 593306.49311408 \tabularnewline
V(Y[t],d=1,D=2) & 1870648.5771261 & Range & 7677 & Trim Var. & 945063.351475341 \tabularnewline
V(Y[t],d=2,D=2) & 4662750.00118835 & Range & 12265 & Trim Var. & 2452116.26912091 \tabularnewline
V(Y[t],d=3,D=2) & 14157614.6732026 & Range & 23219 & Trim Var. & 7367722.39555603 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114739&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]874383.430509[/C][C]Range[/C][C]5009[/C][C]Trim Var.[/C][C]496166.749378882[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]968091.063461176[/C][C]Range[/C][C]5655[/C][C]Trim Var.[/C][C]523189.777173913[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]2524921.21906938[/C][C]Range[/C][C]9068[/C][C]Trim Var.[/C][C]1425563.81383648[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]8103262.49698254[/C][C]Range[/C][C]14665[/C][C]Trim Var.[/C][C]4708522.67685694[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]517693.75534645[/C][C]Range[/C][C]5111[/C][C]Trim Var.[/C][C]217365.958881432[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]648910.091984705[/C][C]Range[/C][C]4961[/C][C]Trim Var.[/C][C]295746.608289498[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]1594633.66794451[/C][C]Range[/C][C]8761[/C][C]Trim Var.[/C][C]718368.53957529[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]4778504.00110865[/C][C]Range[/C][C]13215[/C][C]Trim Var.[/C][C]2242393.6052558[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]1385831.49789082[/C][C]Range[/C][C]8210[/C][C]Trim Var.[/C][C]593306.49311408[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]1870648.5771261[/C][C]Range[/C][C]7677[/C][C]Trim Var.[/C][C]945063.351475341[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]4662750.00118835[/C][C]Range[/C][C]12265[/C][C]Trim Var.[/C][C]2452116.26912091[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]14157614.6732026[/C][C]Range[/C][C]23219[/C][C]Trim Var.[/C][C]7367722.39555603[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114739&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114739&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)874383.430509Range5009Trim Var.496166.749378882
V(Y[t],d=1,D=0)968091.063461176Range5655Trim Var.523189.777173913
V(Y[t],d=2,D=0)2524921.21906938Range9068Trim Var.1425563.81383648
V(Y[t],d=3,D=0)8103262.49698254Range14665Trim Var.4708522.67685694
V(Y[t],d=0,D=1)517693.75534645Range5111Trim Var.217365.958881432
V(Y[t],d=1,D=1)648910.091984705Range4961Trim Var.295746.608289498
V(Y[t],d=2,D=1)1594633.66794451Range8761Trim Var.718368.53957529
V(Y[t],d=3,D=1)4778504.00110865Range13215Trim Var.2242393.6052558
V(Y[t],d=0,D=2)1385831.49789082Range8210Trim Var.593306.49311408
V(Y[t],d=1,D=2)1870648.5771261Range7677Trim Var.945063.351475341
V(Y[t],d=2,D=2)4662750.00118835Range12265Trim Var.2452116.26912091
V(Y[t],d=3,D=2)14157614.6732026Range23219Trim Var.7367722.39555603



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(myx,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')
bitmap(file='pic0.png')
op <- par(mfrow=c(2,2))
plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0')
plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0')
plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1')
plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1')
par(op)
dev.off()