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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 computationMon, 10 Dec 2012 10:23:47 -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/2012/Dec/10/t13551530543otlof4jrz0sf6u.htm/, Retrieved Wed, 24 Apr 2024 03:27:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198193, Retrieved Wed, 24 Apr 2024 03:27:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
- R PD    [Variance Reduction Matrix] [] [2012-12-10 15:23:47] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
59.8
60.7
59.7
60.2
61.3
59.8
61.2
59.3
59.4
63.1
68
69.4
70.2
72.6
72.1
69.7
71.5
75.7
76
76.4
83.8
86.2
88.5
95.9
103.1
113.5
115.7
113.1
112.7
121.9
120.3
108.7
102.8
83.4
79.4
77.8
85.7
83.2
82
86.9
95.7
97.9
89.3
91.5
86.8
91
93.8
96.8
95.7
91.4
88.7
88.2
87.7
89.5
95.6
100.5
106.3
112
117.7
125
132.4
138.1
134.7
136.7
134.3
131.6
129.8
131.9
129.8
119.4
116.7
112.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198193&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198193&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198193&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Variance Reduction Matrix
V(Y[t],d=0,D=0)541.359593114241Range78.8Trim Var.410.830496671787
V(Y[t],d=1,D=0)25.7536659959759Range29.8Trim Var.12.0324628776242
V(Y[t],d=2,D=0)30.5343602484472Range28.9Trim Var.17.1632575356954
V(Y[t],d=3,D=0)82.7626896845695Range49.3Trim Var.38.7673770491803
V(Y[t],d=0,D=1)516.79731920904Range82.2Trim Var.394.804965059399
V(Y[t],d=1,D=1)65.3693629456458Range45.4Trim Var.36.8236574746009
V(Y[t],d=2,D=1)73.911739261948Range39.2Trim Var.45.0908295625943
V(Y[t],d=3,D=1)211.237556390977Range74.2Trim Var.122.064901960784
V(Y[t],d=0,D=2)1521.56205673759Range131.9Trim Var.1129.90646341463
V(Y[t],d=1,D=2)206.994153561517Range68Trim Var.119.345
V(Y[t],d=2,D=2)257.690183574879Range63.7Trim Var.152.769641025641
V(Y[t],d=3,D=2)755.431131313131Range116.4Trim Var.448.032199730095

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 541.359593114241 & Range & 78.8 & Trim Var. & 410.830496671787 \tabularnewline
V(Y[t],d=1,D=0) & 25.7536659959759 & Range & 29.8 & Trim Var. & 12.0324628776242 \tabularnewline
V(Y[t],d=2,D=0) & 30.5343602484472 & Range & 28.9 & Trim Var. & 17.1632575356954 \tabularnewline
V(Y[t],d=3,D=0) & 82.7626896845695 & Range & 49.3 & Trim Var. & 38.7673770491803 \tabularnewline
V(Y[t],d=0,D=1) & 516.79731920904 & Range & 82.2 & Trim Var. & 394.804965059399 \tabularnewline
V(Y[t],d=1,D=1) & 65.3693629456458 & Range & 45.4 & Trim Var. & 36.8236574746009 \tabularnewline
V(Y[t],d=2,D=1) & 73.911739261948 & Range & 39.2 & Trim Var. & 45.0908295625943 \tabularnewline
V(Y[t],d=3,D=1) & 211.237556390977 & Range & 74.2 & Trim Var. & 122.064901960784 \tabularnewline
V(Y[t],d=0,D=2) & 1521.56205673759 & Range & 131.9 & Trim Var. & 1129.90646341463 \tabularnewline
V(Y[t],d=1,D=2) & 206.994153561517 & Range & 68 & Trim Var. & 119.345 \tabularnewline
V(Y[t],d=2,D=2) & 257.690183574879 & Range & 63.7 & Trim Var. & 152.769641025641 \tabularnewline
V(Y[t],d=3,D=2) & 755.431131313131 & Range & 116.4 & Trim Var. & 448.032199730095 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198193&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]541.359593114241[/C][C]Range[/C][C]78.8[/C][C]Trim Var.[/C][C]410.830496671787[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]25.7536659959759[/C][C]Range[/C][C]29.8[/C][C]Trim Var.[/C][C]12.0324628776242[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]30.5343602484472[/C][C]Range[/C][C]28.9[/C][C]Trim Var.[/C][C]17.1632575356954[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]82.7626896845695[/C][C]Range[/C][C]49.3[/C][C]Trim Var.[/C][C]38.7673770491803[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]516.79731920904[/C][C]Range[/C][C]82.2[/C][C]Trim Var.[/C][C]394.804965059399[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]65.3693629456458[/C][C]Range[/C][C]45.4[/C][C]Trim Var.[/C][C]36.8236574746009[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]73.911739261948[/C][C]Range[/C][C]39.2[/C][C]Trim Var.[/C][C]45.0908295625943[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]211.237556390977[/C][C]Range[/C][C]74.2[/C][C]Trim Var.[/C][C]122.064901960784[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]1521.56205673759[/C][C]Range[/C][C]131.9[/C][C]Trim Var.[/C][C]1129.90646341463[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]206.994153561517[/C][C]Range[/C][C]68[/C][C]Trim Var.[/C][C]119.345[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]257.690183574879[/C][C]Range[/C][C]63.7[/C][C]Trim Var.[/C][C]152.769641025641[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]755.431131313131[/C][C]Range[/C][C]116.4[/C][C]Trim Var.[/C][C]448.032199730095[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198193&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198193&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)541.359593114241Range78.8Trim Var.410.830496671787
V(Y[t],d=1,D=0)25.7536659959759Range29.8Trim Var.12.0324628776242
V(Y[t],d=2,D=0)30.5343602484472Range28.9Trim Var.17.1632575356954
V(Y[t],d=3,D=0)82.7626896845695Range49.3Trim Var.38.7673770491803
V(Y[t],d=0,D=1)516.79731920904Range82.2Trim Var.394.804965059399
V(Y[t],d=1,D=1)65.3693629456458Range45.4Trim Var.36.8236574746009
V(Y[t],d=2,D=1)73.911739261948Range39.2Trim Var.45.0908295625943
V(Y[t],d=3,D=1)211.237556390977Range74.2Trim Var.122.064901960784
V(Y[t],d=0,D=2)1521.56205673759Range131.9Trim Var.1129.90646341463
V(Y[t],d=1,D=2)206.994153561517Range68Trim Var.119.345
V(Y[t],d=2,D=2)257.690183574879Range63.7Trim Var.152.769641025641
V(Y[t],d=3,D=2)755.431131313131Range116.4Trim Var.448.032199730095



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')