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Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationWed, 28 Nov 2007 12:01:39 -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/Nov/28/t1196275884edkjdf4gcyrv3o9.htm/, Retrieved Wed, 01 May 2024 23:21:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7220, Retrieved Wed, 01 May 2024 23:21:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [sociale huur woning] [2007-11-28 19:01:39] [89d26cd0a44959d9c8b169f34617598a] [Current]
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Dataseries X:
113.31
113.15
113.34
113.42
113.5
113.4
115.26
116.8
117.28
117.64
118.19
118.64
118.6
118.82
118.92
118.7
118.7
118.68
119.76
122.78
122.91
123.31
123.22
123.24
123.34
123.11
123.3
123.17
123.09
123.06
124.46
125.51
126.27
126.94
127.03
127.11
127.25
127.51
128.67
128.91
128.99
129.04
104.71
105.35
106.31
106.26
106.97
107.04
106.98
107.05
107.33
107.3
107.28
107.58
109.03
110.43
111.01
111.01
110.76
111.13
111.07





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=7220&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=7220&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7220&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)56.5889136612022Range24.33Trim Var.44.4771105224964
V(Y[t],d=1,D=0)10.5351825988701Range27.35Trim Var.0.185159503843466
V(Y[t],d=2,D=0)21.5060729398013Range49.35Trim Var.0.238125907111754
V(Y[t],d=3,D=0)65.0718686025407Range74Trim Var.0.690120965309193
V(Y[t],d=0,D=1)121.858460969388Range27.69Trim Var.105.639915946844
V(Y[t],d=1,D=1)28.5172851063830Range51.51Trim Var.0.140321544715447
V(Y[t],d=2,D=1)56.9123201665124Range51.34Trim Var.0.522840121951219
V(Y[t],d=3,D=1)172.257286038647Range101.68Trim Var.2.69414814102562
V(Y[t],d=0,D=2)314.059266366366Range53.04Trim Var.264.995080113636
V(Y[t],d=1,D=2)95.5872732539682Range77.56Trim Var.0.53277701612903
V(Y[t],d=2,D=2)196.625076134453Range101.68Trim Var.2.32310365591396
V(Y[t],d=3,D=2)604.38697896613Range155.43Trim Var.111.284800000000

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 56.5889136612022 & Range & 24.33 & Trim Var. & 44.4771105224964 \tabularnewline
V(Y[t],d=1,D=0) & 10.5351825988701 & Range & 27.35 & Trim Var. & 0.185159503843466 \tabularnewline
V(Y[t],d=2,D=0) & 21.5060729398013 & Range & 49.35 & Trim Var. & 0.238125907111754 \tabularnewline
V(Y[t],d=3,D=0) & 65.0718686025407 & Range & 74 & Trim Var. & 0.690120965309193 \tabularnewline
V(Y[t],d=0,D=1) & 121.858460969388 & Range & 27.69 & Trim Var. & 105.639915946844 \tabularnewline
V(Y[t],d=1,D=1) & 28.5172851063830 & Range & 51.51 & Trim Var. & 0.140321544715447 \tabularnewline
V(Y[t],d=2,D=1) & 56.9123201665124 & Range & 51.34 & Trim Var. & 0.522840121951219 \tabularnewline
V(Y[t],d=3,D=1) & 172.257286038647 & Range & 101.68 & Trim Var. & 2.69414814102562 \tabularnewline
V(Y[t],d=0,D=2) & 314.059266366366 & Range & 53.04 & Trim Var. & 264.995080113636 \tabularnewline
V(Y[t],d=1,D=2) & 95.5872732539682 & Range & 77.56 & Trim Var. & 0.53277701612903 \tabularnewline
V(Y[t],d=2,D=2) & 196.625076134453 & Range & 101.68 & Trim Var. & 2.32310365591396 \tabularnewline
V(Y[t],d=3,D=2) & 604.38697896613 & Range & 155.43 & Trim Var. & 111.284800000000 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7220&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]56.5889136612022[/C][C]Range[/C][C]24.33[/C][C]Trim Var.[/C][C]44.4771105224964[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]10.5351825988701[/C][C]Range[/C][C]27.35[/C][C]Trim Var.[/C][C]0.185159503843466[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]21.5060729398013[/C][C]Range[/C][C]49.35[/C][C]Trim Var.[/C][C]0.238125907111754[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]65.0718686025407[/C][C]Range[/C][C]74[/C][C]Trim Var.[/C][C]0.690120965309193[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]121.858460969388[/C][C]Range[/C][C]27.69[/C][C]Trim Var.[/C][C]105.639915946844[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]28.5172851063830[/C][C]Range[/C][C]51.51[/C][C]Trim Var.[/C][C]0.140321544715447[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]56.9123201665124[/C][C]Range[/C][C]51.34[/C][C]Trim Var.[/C][C]0.522840121951219[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]172.257286038647[/C][C]Range[/C][C]101.68[/C][C]Trim Var.[/C][C]2.69414814102562[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]314.059266366366[/C][C]Range[/C][C]53.04[/C][C]Trim Var.[/C][C]264.995080113636[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]95.5872732539682[/C][C]Range[/C][C]77.56[/C][C]Trim Var.[/C][C]0.53277701612903[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]196.625076134453[/C][C]Range[/C][C]101.68[/C][C]Trim Var.[/C][C]2.32310365591396[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]604.38697896613[/C][C]Range[/C][C]155.43[/C][C]Trim Var.[/C][C]111.284800000000[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7220&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7220&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)56.5889136612022Range24.33Trim Var.44.4771105224964
V(Y[t],d=1,D=0)10.5351825988701Range27.35Trim Var.0.185159503843466
V(Y[t],d=2,D=0)21.5060729398013Range49.35Trim Var.0.238125907111754
V(Y[t],d=3,D=0)65.0718686025407Range74Trim Var.0.690120965309193
V(Y[t],d=0,D=1)121.858460969388Range27.69Trim Var.105.639915946844
V(Y[t],d=1,D=1)28.5172851063830Range51.51Trim Var.0.140321544715447
V(Y[t],d=2,D=1)56.9123201665124Range51.34Trim Var.0.522840121951219
V(Y[t],d=3,D=1)172.257286038647Range101.68Trim Var.2.69414814102562
V(Y[t],d=0,D=2)314.059266366366Range53.04Trim Var.264.995080113636
V(Y[t],d=1,D=2)95.5872732539682Range77.56Trim Var.0.53277701612903
V(Y[t],d=2,D=2)196.625076134453Range101.68Trim Var.2.32310365591396
V(Y[t],d=3,D=2)604.38697896613Range155.43Trim Var.111.284800000000



Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 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')