Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationFri, 14 Dec 2007 03:20:02 -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/Dec/14/t1197626826j3okhjq69iq99o1.htm/, Retrieved Thu, 02 May 2024 16:42:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3799, Retrieved Thu, 02 May 2024 16:42:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [VRM - Serie 1 - p...] [2007-12-14 10:20:02] [921757a21ec3444367392306fe4aab7f] [Current]
Feedback Forum

Post a new message
Dataseries X:
20972
35681
37034
35645
33379
32747
49585
41745
48564
52518
45594
51442
25094
33702
39120
33842
29896
31481
43895
39477
53726
61465
50104
47460
26451
30306
42598
34485
29027
35489
40357
37532
43899
48572
43901
50556
18387
27534
38030
31917
26414
35306
38271
41454
52408
53536
53152
56421
21538
33625
42625
31295
33795
41227
45382
47206
46235
51378
46865
58608




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=3799&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=3799&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3799&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)98221156.039548Range43078Trim Var.66926268.362334
V(Y[t],d=1,D=0)109972825.817066Range51721Trim Var.50318228.9455733
V(Y[t],d=2,D=0)277874307.770115Range85794Trim Var.131349623.025641
V(Y[t],d=3,D=0)861346528.361529Range135272Trim Var.459305236.016471
V(Y[t],d=0,D=1)26819049.5314716Range22144Trim Var.16846179.6213705
V(Y[t],d=1,D=1)28147272.4921369Range21224Trim Var.18332407.2121951
V(Y[t],d=2,D=1)75281696.9763285Range36911Trim Var.50980076.6666667
V(Y[t],d=3,D=1)242570745.634343Range60995Trim Var.169128167.944669
V(Y[t],d=0,D=2)87731275.5642857Range40176Trim Var.54632538.8991935
V(Y[t],d=1,D=2)71185758.7865546Range34303Trim Var.46779061.7462366
V(Y[t],d=2,D=2)181922651.301248Range60834Trim Var.110036181.067816
V(Y[t],d=3,D=2)593211875.632576Range106093Trim Var.366097933.980296

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 98221156.039548 & Range & 43078 & Trim Var. & 66926268.362334 \tabularnewline
V(Y[t],d=1,D=0) & 109972825.817066 & Range & 51721 & Trim Var. & 50318228.9455733 \tabularnewline
V(Y[t],d=2,D=0) & 277874307.770115 & Range & 85794 & Trim Var. & 131349623.025641 \tabularnewline
V(Y[t],d=3,D=0) & 861346528.361529 & Range & 135272 & Trim Var. & 459305236.016471 \tabularnewline
V(Y[t],d=0,D=1) & 26819049.5314716 & Range & 22144 & Trim Var. & 16846179.6213705 \tabularnewline
V(Y[t],d=1,D=1) & 28147272.4921369 & Range & 21224 & Trim Var. & 18332407.2121951 \tabularnewline
V(Y[t],d=2,D=1) & 75281696.9763285 & Range & 36911 & Trim Var. & 50980076.6666667 \tabularnewline
V(Y[t],d=3,D=1) & 242570745.634343 & Range & 60995 & Trim Var. & 169128167.944669 \tabularnewline
V(Y[t],d=0,D=2) & 87731275.5642857 & Range & 40176 & Trim Var. & 54632538.8991935 \tabularnewline
V(Y[t],d=1,D=2) & 71185758.7865546 & Range & 34303 & Trim Var. & 46779061.7462366 \tabularnewline
V(Y[t],d=2,D=2) & 181922651.301248 & Range & 60834 & Trim Var. & 110036181.067816 \tabularnewline
V(Y[t],d=3,D=2) & 593211875.632576 & Range & 106093 & Trim Var. & 366097933.980296 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3799&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]98221156.039548[/C][C]Range[/C][C]43078[/C][C]Trim Var.[/C][C]66926268.362334[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]109972825.817066[/C][C]Range[/C][C]51721[/C][C]Trim Var.[/C][C]50318228.9455733[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]277874307.770115[/C][C]Range[/C][C]85794[/C][C]Trim Var.[/C][C]131349623.025641[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]861346528.361529[/C][C]Range[/C][C]135272[/C][C]Trim Var.[/C][C]459305236.016471[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]26819049.5314716[/C][C]Range[/C][C]22144[/C][C]Trim Var.[/C][C]16846179.6213705[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]28147272.4921369[/C][C]Range[/C][C]21224[/C][C]Trim Var.[/C][C]18332407.2121951[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]75281696.9763285[/C][C]Range[/C][C]36911[/C][C]Trim Var.[/C][C]50980076.6666667[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]242570745.634343[/C][C]Range[/C][C]60995[/C][C]Trim Var.[/C][C]169128167.944669[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]87731275.5642857[/C][C]Range[/C][C]40176[/C][C]Trim Var.[/C][C]54632538.8991935[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]71185758.7865546[/C][C]Range[/C][C]34303[/C][C]Trim Var.[/C][C]46779061.7462366[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]181922651.301248[/C][C]Range[/C][C]60834[/C][C]Trim Var.[/C][C]110036181.067816[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]593211875.632576[/C][C]Range[/C][C]106093[/C][C]Trim Var.[/C][C]366097933.980296[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3799&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3799&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)98221156.039548Range43078Trim Var.66926268.362334
V(Y[t],d=1,D=0)109972825.817066Range51721Trim Var.50318228.9455733
V(Y[t],d=2,D=0)277874307.770115Range85794Trim Var.131349623.025641
V(Y[t],d=3,D=0)861346528.361529Range135272Trim Var.459305236.016471
V(Y[t],d=0,D=1)26819049.5314716Range22144Trim Var.16846179.6213705
V(Y[t],d=1,D=1)28147272.4921369Range21224Trim Var.18332407.2121951
V(Y[t],d=2,D=1)75281696.9763285Range36911Trim Var.50980076.6666667
V(Y[t],d=3,D=1)242570745.634343Range60995Trim Var.169128167.944669
V(Y[t],d=0,D=2)87731275.5642857Range40176Trim Var.54632538.8991935
V(Y[t],d=1,D=2)71185758.7865546Range34303Trim Var.46779061.7462366
V(Y[t],d=2,D=2)181922651.301248Range60834Trim Var.110036181.067816
V(Y[t],d=3,D=2)593211875.632576Range106093Trim Var.366097933.980296



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')