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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 computationFri, 29 Nov 2013 11:58:28 -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/2013/Nov/29/t13857444183w7pn9bmwz98i1n.htm/, Retrieved Sun, 05 May 2024 22:30:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=229570, Retrieved Sun, 05 May 2024 22:30:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [WS901] [2013-11-29 16:58:28] [f1e366d257cd544a6a94e0c7cf247a26] [Current]
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Dataseries X:
19008
19869
19868
19960
20307
22074
20682
20858
21421
21374
21380
21331
21850
22641
24483
22146
23840
23879
24078
24652
25048
25627
26496
26291
24730
25569
25582
26157
26258
26625
27189
27079
26075
25992
25656
28739
27501
26833
27275
27673
27562
27350
27333
27339
28820
26405
27783
27952
27966
26689
28880
27305
26687
26864
27140
26915
27021
27967
28198
28616
27703
29599
29404
29883
30736
30730
30440
31010
32028
31234
29905
30825
32396
31714
32811
32348
32355
33217
34555
34685
34923
35184
35801
35123
36142
36028
35507
35897
37439
37072
36679
36643
37242
37189
37494
38699
38643
39670
40384
40310
39839
41181
41711
42588
42258
42489
42643
42863
41876
43383
42595
42904
42343
42765
41364
43794
43482
43445
43540
42620
43138
42255
41169
41772
41309
39223
40617
40616
40692
41700
41952
45308
43474
43189
44347
44483
45297
45832
45593
45544
45764
45205
48060
46181
48641
47022
47295
46719
47787
47313
48716
48417
49966
50635
50165
50896
50546
51147
51121
51711
51716
52887




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=229570&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=229570&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=229570&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Variance Reduction Matrix
V(Y[t],d=0,D=0)83765800Range33879Trim Var.64220700
V(Y[t],d=1,D=0)942109Range5771Trim Var.452660
V(Y[t],d=2,D=0)2731860Range9529Trim Var.1266990
V(Y[t],d=3,D=0)9242740Range17491Trim Var.4687380
V(Y[t],d=0,D=1)4212650Range10151Trim Var.2738860
V(Y[t],d=1,D=1)2522530Range9529Trim Var.1528260
V(Y[t],d=2,D=1)7647850Range17367Trim Var.4476630
V(Y[t],d=3,D=1)26378300Range32524Trim Var.14688000
V(Y[t],d=0,D=2)9982500Range16107Trim Var.6395180
V(Y[t],d=1,D=2)8316900Range17356Trim Var.4860070
V(Y[t],d=2,D=2)25458900Range31106Trim Var.14525900
V(Y[t],d=3,D=2)87714700Range56836Trim Var.48552500

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 83765800 & Range & 33879 & Trim Var. & 64220700 \tabularnewline
V(Y[t],d=1,D=0) & 942109 & Range & 5771 & Trim Var. & 452660 \tabularnewline
V(Y[t],d=2,D=0) & 2731860 & Range & 9529 & Trim Var. & 1266990 \tabularnewline
V(Y[t],d=3,D=0) & 9242740 & Range & 17491 & Trim Var. & 4687380 \tabularnewline
V(Y[t],d=0,D=1) & 4212650 & Range & 10151 & Trim Var. & 2738860 \tabularnewline
V(Y[t],d=1,D=1) & 2522530 & Range & 9529 & Trim Var. & 1528260 \tabularnewline
V(Y[t],d=2,D=1) & 7647850 & Range & 17367 & Trim Var. & 4476630 \tabularnewline
V(Y[t],d=3,D=1) & 26378300 & Range & 32524 & Trim Var. & 14688000 \tabularnewline
V(Y[t],d=0,D=2) & 9982500 & Range & 16107 & Trim Var. & 6395180 \tabularnewline
V(Y[t],d=1,D=2) & 8316900 & Range & 17356 & Trim Var. & 4860070 \tabularnewline
V(Y[t],d=2,D=2) & 25458900 & Range & 31106 & Trim Var. & 14525900 \tabularnewline
V(Y[t],d=3,D=2) & 87714700 & Range & 56836 & Trim Var. & 48552500 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=229570&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]83765800[/C][C]Range[/C][C]33879[/C][C]Trim Var.[/C][C]64220700[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]942109[/C][C]Range[/C][C]5771[/C][C]Trim Var.[/C][C]452660[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]2731860[/C][C]Range[/C][C]9529[/C][C]Trim Var.[/C][C]1266990[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]9242740[/C][C]Range[/C][C]17491[/C][C]Trim Var.[/C][C]4687380[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]4212650[/C][C]Range[/C][C]10151[/C][C]Trim Var.[/C][C]2738860[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]2522530[/C][C]Range[/C][C]9529[/C][C]Trim Var.[/C][C]1528260[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]7647850[/C][C]Range[/C][C]17367[/C][C]Trim Var.[/C][C]4476630[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]26378300[/C][C]Range[/C][C]32524[/C][C]Trim Var.[/C][C]14688000[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]9982500[/C][C]Range[/C][C]16107[/C][C]Trim Var.[/C][C]6395180[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]8316900[/C][C]Range[/C][C]17356[/C][C]Trim Var.[/C][C]4860070[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]25458900[/C][C]Range[/C][C]31106[/C][C]Trim Var.[/C][C]14525900[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]87714700[/C][C]Range[/C][C]56836[/C][C]Trim Var.[/C][C]48552500[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=229570&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=229570&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)83765800Range33879Trim Var.64220700
V(Y[t],d=1,D=0)942109Range5771Trim Var.452660
V(Y[t],d=2,D=0)2731860Range9529Trim Var.1266990
V(Y[t],d=3,D=0)9242740Range17491Trim Var.4687380
V(Y[t],d=0,D=1)4212650Range10151Trim Var.2738860
V(Y[t],d=1,D=1)2522530Range9529Trim Var.1528260
V(Y[t],d=2,D=1)7647850Range17367Trim Var.4476630
V(Y[t],d=3,D=1)26378300Range32524Trim Var.14688000
V(Y[t],d=0,D=2)9982500Range16107Trim Var.6395180
V(Y[t],d=1,D=2)8316900Range17356Trim Var.4860070
V(Y[t],d=2,D=2)25458900Range31106Trim Var.14525900
V(Y[t],d=3,D=2)87714700Range56836Trim Var.48552500



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,signif(var(myx), digits=6))
a<-table.element(a,'Range',header=TRUE)
a<-table.element(a,signif(max(myx)-min(myx), digits=6))
a<-table.element(a,'Trim Var.',header=TRUE)
smyx <- sort(myx)
sn <- length(smyx)
a<-table.element(a,signif(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()