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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 computationSat, 13 Dec 2008 07:17:40 -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/2008/Dec/13/t1229177904b5q35mr4clxc2wi.htm/, Retrieved Sat, 18 May 2024 21:19:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33115, Retrieved Sat, 18 May 2024 21:19:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Central Tendency:...] [2008-12-12 13:08:46] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
- RMPD  [Mean Plot] [Mean plot - prijs...] [2008-12-12 14:56:05] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
- RMPD    [Tukey lambda PPCC Plot] [PPCC: Bel 20] [2008-12-12 15:02:48] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
- RMPD        [Variance Reduction Matrix] [VRM Matrix: Prijs...] [2008-12-13 14:17:40] [14a75ec03b2c0d8ddd8b141a7b1594fd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
32,68
31,54
32,43
26,54
25,85
27,6
25,71
25,38
28,57
27,64
25,36
25,9
26,29
21,74
19,2
19,32
19,82
20,36
24,31
25,97
25,61
24,67
25,59
26,09
28,37
27,34
24,46
27,46
30,23
32,33
29,87
24,87
25,48
27,28
28,24
29,58
26,95
29,08
28,76
29,59
30,7
30,52
32,67
33,19
37,13
35,54
37,75
41,84
42,94
49,14
44,61
40,22
44,23
45,85
53,38
53,26
51,8
55,3
57,81
63,96
63,77
59,15
56,12
57,42
63,52
61,71
63,01
68,18
72,03
69,75
74,41
74,33
64,24
60,03
59,44
62,5
55,04
58,34
61,92
67,65
67,68
70,3
75,26
71,44
76,36
81,71
92,6
90,6
92,23
94,09
102,79
109,65
124,05
132,69
135,81
116,07
101,42
75,73
55,48

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33115&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33115&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33115&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Variance Reduction Matrix
V(Y[t],d=0,D=0)750.763718016904Range116.61Trim Var.467.267644994893
V(Y[t],d=1,D=0)32.4614836103514Range40.09Trim Var.9.19253766980147
V(Y[t],d=2,D=0)28.7222211769760Range33.62Trim Var.15.7726507885592
V(Y[t],d=3,D=0)76.8658565679825Range46.38Trim Var.45.441948508892
V(Y[t],d=0,D=1)260.980063111468Range99.51Trim Var.117.543231510595
V(Y[t],d=1,D=1)54.9438974692203Range46.15Trim Var.15.7909279122807
V(Y[t],d=2,D=1)50.3983880392157Range35.29Trim Var.27.5186550270270
V(Y[t],d=3,D=1)136.629018359151Range58.67Trim Var.74.1942436319882
V(Y[t],d=0,D=2)462.531282594595Range132.12Trim Var.219.115144640434
V(Y[t],d=1,D=2)127.683342484265Range67.53Trim Var.44.2804652913753
V(Y[t],d=2,D=2)135.017799847793Range58.67Trim Var.81.4776265865385
V(Y[t],d=3,D=2)368.193537949922Range104Trim Var.206.040118427580

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 750.763718016904 & Range & 116.61 & Trim Var. & 467.267644994893 \tabularnewline
V(Y[t],d=1,D=0) & 32.4614836103514 & Range & 40.09 & Trim Var. & 9.19253766980147 \tabularnewline
V(Y[t],d=2,D=0) & 28.7222211769760 & Range & 33.62 & Trim Var. & 15.7726507885592 \tabularnewline
V(Y[t],d=3,D=0) & 76.8658565679825 & Range & 46.38 & Trim Var. & 45.441948508892 \tabularnewline
V(Y[t],d=0,D=1) & 260.980063111468 & Range & 99.51 & Trim Var. & 117.543231510595 \tabularnewline
V(Y[t],d=1,D=1) & 54.9438974692203 & Range & 46.15 & Trim Var. & 15.7909279122807 \tabularnewline
V(Y[t],d=2,D=1) & 50.3983880392157 & Range & 35.29 & Trim Var. & 27.5186550270270 \tabularnewline
V(Y[t],d=3,D=1) & 136.629018359151 & Range & 58.67 & Trim Var. & 74.1942436319882 \tabularnewline
V(Y[t],d=0,D=2) & 462.531282594595 & Range & 132.12 & Trim Var. & 219.115144640434 \tabularnewline
V(Y[t],d=1,D=2) & 127.683342484265 & Range & 67.53 & Trim Var. & 44.2804652913753 \tabularnewline
V(Y[t],d=2,D=2) & 135.017799847793 & Range & 58.67 & Trim Var. & 81.4776265865385 \tabularnewline
V(Y[t],d=3,D=2) & 368.193537949922 & Range & 104 & Trim Var. & 206.040118427580 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33115&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]750.763718016904[/C][C]Range[/C][C]116.61[/C][C]Trim Var.[/C][C]467.267644994893[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]32.4614836103514[/C][C]Range[/C][C]40.09[/C][C]Trim Var.[/C][C]9.19253766980147[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]28.7222211769760[/C][C]Range[/C][C]33.62[/C][C]Trim Var.[/C][C]15.7726507885592[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]76.8658565679825[/C][C]Range[/C][C]46.38[/C][C]Trim Var.[/C][C]45.441948508892[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]260.980063111468[/C][C]Range[/C][C]99.51[/C][C]Trim Var.[/C][C]117.543231510595[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]54.9438974692203[/C][C]Range[/C][C]46.15[/C][C]Trim Var.[/C][C]15.7909279122807[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]50.3983880392157[/C][C]Range[/C][C]35.29[/C][C]Trim Var.[/C][C]27.5186550270270[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]136.629018359151[/C][C]Range[/C][C]58.67[/C][C]Trim Var.[/C][C]74.1942436319882[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]462.531282594595[/C][C]Range[/C][C]132.12[/C][C]Trim Var.[/C][C]219.115144640434[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]127.683342484265[/C][C]Range[/C][C]67.53[/C][C]Trim Var.[/C][C]44.2804652913753[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]135.017799847793[/C][C]Range[/C][C]58.67[/C][C]Trim Var.[/C][C]81.4776265865385[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]368.193537949922[/C][C]Range[/C][C]104[/C][C]Trim Var.[/C][C]206.040118427580[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33115&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33115&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)750.763718016904Range116.61Trim Var.467.267644994893
V(Y[t],d=1,D=0)32.4614836103514Range40.09Trim Var.9.19253766980147
V(Y[t],d=2,D=0)28.7222211769760Range33.62Trim Var.15.7726507885592
V(Y[t],d=3,D=0)76.8658565679825Range46.38Trim Var.45.441948508892
V(Y[t],d=0,D=1)260.980063111468Range99.51Trim Var.117.543231510595
V(Y[t],d=1,D=1)54.9438974692203Range46.15Trim Var.15.7909279122807
V(Y[t],d=2,D=1)50.3983880392157Range35.29Trim Var.27.5186550270270
V(Y[t],d=3,D=1)136.629018359151Range58.67Trim Var.74.1942436319882
V(Y[t],d=0,D=2)462.531282594595Range132.12Trim Var.219.115144640434
V(Y[t],d=1,D=2)127.683342484265Range67.53Trim Var.44.2804652913753
V(Y[t],d=2,D=2)135.017799847793Range58.67Trim Var.81.4776265865385
V(Y[t],d=3,D=2)368.193537949922Range104Trim Var.206.040118427580


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')