FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationMon, 27 Dec 2010 17:32:28 +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/27/t1293471111ioit8x4h7gc8v7j.htm/, Retrieved Mon, 06 May 2024 12:28:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116069, Retrieved Mon, 06 May 2024 12:28:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVariantie Reductie Matrix - Gemiddelde Bouwgrondprijzen België (1995-2009)
Estimated Impact125

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2008-12-08 19:22:39] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMP   [Variance Reduction Matrix] [] [2010-12-14 12:00:11] [d151a1f90c2d38425a986bf939030c8f]
-         [Variance Reduction Matrix] [] [2010-12-14 12:40:20] [43e84bd88d5f94b739fa54f225367516]
-           [Variance Reduction Matrix] [VRM] [2010-12-17 16:27:36] [78a5cb23fbaf3f7e43a4286844511628]
-   PD          [Variance Reduction Matrix] [Paper Statistiek] [2010-12-27 17:32:28] [f6fdc0236f011c1845380977efc505f8] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26
26
27
28
27
29
27
30
27
30
32
30
32
33
34
32
34
37
37
36
34
38
41
41
44
42
45
45
49
54
52
53
51
55
60
60
63
60
64
65
75
70
72
69
75
74
74
75
79
79
85
78
84
85
85
82
91
90
98
98

Tables (Output of Computation)





Summary of computational 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 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116069&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116069&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116069&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Variance Reduction Matrix
V(Y[t],d=0,D=0)488.388700564972Range72Trim Var.380.953725490196
V(Y[t],d=1,D=0)10.8299240210403Range17Trim Var.5.42408163265306
V(Y[t],d=2,D=0)33.2631578947368Range28Trim Var.17.1853061224490
V(Y[t],d=3,D=0)117.778195488722Range50Trim Var.73.0525490196078
V(Y[t],d=0,D=1)13.6766233766234Range16Trim Var.5.97979797979798
V(Y[t],d=1,D=1)14.7205387205387Range16Trim Var.7.98115942028986
V(Y[t],d=2,D=1)40.1317260656883Range24Trim Var.27.0212765957447
V(Y[t],d=3,D=1)133.615384615385Range43Trim Var.96.4772946859903
V(Y[t],d=0,D=2)27.1655354449472Range25Trim Var.11.3
V(Y[t],d=1,D=2)42.4737254901961Range26Trim Var.24.7626849894292
V(Y[t],d=2,D=2)120.040816326531Range44Trim Var.72.8757259001161
V(Y[t],d=3,D=2)398.045918367347Range71Trim Var.288.728682170543

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 488.388700564972 & Range & 72 & Trim Var. & 380.953725490196 \tabularnewline
V(Y[t],d=1,D=0) & 10.8299240210403 & Range & 17 & Trim Var. & 5.42408163265306 \tabularnewline
V(Y[t],d=2,D=0) & 33.2631578947368 & Range & 28 & Trim Var. & 17.1853061224490 \tabularnewline
V(Y[t],d=3,D=0) & 117.778195488722 & Range & 50 & Trim Var. & 73.0525490196078 \tabularnewline
V(Y[t],d=0,D=1) & 13.6766233766234 & Range & 16 & Trim Var. & 5.97979797979798 \tabularnewline
V(Y[t],d=1,D=1) & 14.7205387205387 & Range & 16 & Trim Var. & 7.98115942028986 \tabularnewline
V(Y[t],d=2,D=1) & 40.1317260656883 & Range & 24 & Trim Var. & 27.0212765957447 \tabularnewline
V(Y[t],d=3,D=1) & 133.615384615385 & Range & 43 & Trim Var. & 96.4772946859903 \tabularnewline
V(Y[t],d=0,D=2) & 27.1655354449472 & Range & 25 & Trim Var. & 11.3 \tabularnewline
V(Y[t],d=1,D=2) & 42.4737254901961 & Range & 26 & Trim Var. & 24.7626849894292 \tabularnewline
V(Y[t],d=2,D=2) & 120.040816326531 & Range & 44 & Trim Var. & 72.8757259001161 \tabularnewline
V(Y[t],d=3,D=2) & 398.045918367347 & Range & 71 & Trim Var. & 288.728682170543 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116069&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]488.388700564972[/C][C]Range[/C][C]72[/C][C]Trim Var.[/C][C]380.953725490196[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]10.8299240210403[/C][C]Range[/C][C]17[/C][C]Trim Var.[/C][C]5.42408163265306[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]33.2631578947368[/C][C]Range[/C][C]28[/C][C]Trim Var.[/C][C]17.1853061224490[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]117.778195488722[/C][C]Range[/C][C]50[/C][C]Trim Var.[/C][C]73.0525490196078[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]13.6766233766234[/C][C]Range[/C][C]16[/C][C]Trim Var.[/C][C]5.97979797979798[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]14.7205387205387[/C][C]Range[/C][C]16[/C][C]Trim Var.[/C][C]7.98115942028986[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]40.1317260656883[/C][C]Range[/C][C]24[/C][C]Trim Var.[/C][C]27.0212765957447[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]133.615384615385[/C][C]Range[/C][C]43[/C][C]Trim Var.[/C][C]96.4772946859903[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]27.1655354449472[/C][C]Range[/C][C]25[/C][C]Trim Var.[/C][C]11.3[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]42.4737254901961[/C][C]Range[/C][C]26[/C][C]Trim Var.[/C][C]24.7626849894292[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]120.040816326531[/C][C]Range[/C][C]44[/C][C]Trim Var.[/C][C]72.8757259001161[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]398.045918367347[/C][C]Range[/C][C]71[/C][C]Trim Var.[/C][C]288.728682170543[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116069&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116069&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)488.388700564972Range72Trim Var.380.953725490196
V(Y[t],d=1,D=0)10.8299240210403Range17Trim Var.5.42408163265306
V(Y[t],d=2,D=0)33.2631578947368Range28Trim Var.17.1853061224490
V(Y[t],d=3,D=0)117.778195488722Range50Trim Var.73.0525490196078
V(Y[t],d=0,D=1)13.6766233766234Range16Trim Var.5.97979797979798
V(Y[t],d=1,D=1)14.7205387205387Range16Trim Var.7.98115942028986
V(Y[t],d=2,D=1)40.1317260656883Range24Trim Var.27.0212765957447
V(Y[t],d=3,D=1)133.615384615385Range43Trim Var.96.4772946859903
V(Y[t],d=0,D=2)27.1655354449472Range25Trim Var.11.3
V(Y[t],d=1,D=2)42.4737254901961Range26Trim Var.24.7626849894292
V(Y[t],d=2,D=2)120.040816326531Range44Trim Var.72.8757259001161
V(Y[t],d=3,D=2)398.045918367347Range71Trim Var.288.728682170543


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 4 ;
Parameters (R input):
par1 = 4 ;
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')