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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 computationTue, 01 Dec 2009 10:03:19 -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/2009/Dec/01/t1259687070oqz8hhkpm5mfamv.htm/, Retrieved Tue, 23 Apr 2024 13:39:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62125, Retrieved Tue, 23 Apr 2024 13:39:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Variance Reduction Matrix] [] [2009-11-27 14:44:05] [b98453cac15ba1066b407e146608df68]
- R  D      [Variance Reduction Matrix] [] [2009-12-01 17:03:19] [791a4a78a0a7ca497fb8791b982a539e] [Current]
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Dataseries X:
785.8
819.3
849.4
880.4
900.1
937.2
948.9
952.6
947.3
974.2
1000.8
1032.8
1050.7
1057.3
1075.4
1118.4
1179.8
1227
1257.8
1251.5
1236.3
1170.6
1213.1
1265.5
1300.8
1348.4
1371.9
1403.3
1451.8
1474.2
1438.2
1513.6
1562.2
1546.2
1527.5
1418.7
1448.5
1492.1
1395.4
1403.7
1316.6
1274.5
1264.4
1323.9
1332.1
1250.2
1096.7
1080.8
1039.2
792
746.6
688.8
715.8
672.9
629.5
681.2
755.4
760.6
765.9
836.8
904.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62125&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]0 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=62125&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62125&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)72441.606010929Range932.7Trim Var.54418.9612844702
V(Y[t],d=1,D=0)3421.33858474576Range322.6Trim Var.1628.03909503843
V(Y[t],d=2,D=0)4608.58670952659Range407.4Trim Var.2257.58974600871
V(Y[t],d=3,D=0)12855.6388384755Range621.6Trim Var.6555.66212292609
V(Y[t],d=0,D=1)127764.529311224Range1090.5Trim Var.105425.296611296
V(Y[t],d=1,D=1)6351.76439716312Range449.6Trim Var.2969.44429732869
V(Y[t],d=2,D=1)10292.611480111Range561.5Trim Var.4582.10493902439
V(Y[t],d=3,D=1)30707.1979710145Range1021Trim Var.11233.7805064103
V(Y[t],d=0,D=2)88021.1312012012Range1118.8Trim Var.65989.3132954546
V(Y[t],d=1,D=2)16478.3414285714Range580.4Trim Var.10054.5024092742
V(Y[t],d=2,D=2)30428.5764369748Range778.299999999999Trim Var.17506.6831612903
V(Y[t],d=3,D=2)90003.7893137254Range1352.00000000000Trim Var.47463.4275402299

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 72441.606010929 & Range & 932.7 & Trim Var. & 54418.9612844702 \tabularnewline
V(Y[t],d=1,D=0) & 3421.33858474576 & Range & 322.6 & Trim Var. & 1628.03909503843 \tabularnewline
V(Y[t],d=2,D=0) & 4608.58670952659 & Range & 407.4 & Trim Var. & 2257.58974600871 \tabularnewline
V(Y[t],d=3,D=0) & 12855.6388384755 & Range & 621.6 & Trim Var. & 6555.66212292609 \tabularnewline
V(Y[t],d=0,D=1) & 127764.529311224 & Range & 1090.5 & Trim Var. & 105425.296611296 \tabularnewline
V(Y[t],d=1,D=1) & 6351.76439716312 & Range & 449.6 & Trim Var. & 2969.44429732869 \tabularnewline
V(Y[t],d=2,D=1) & 10292.611480111 & Range & 561.5 & Trim Var. & 4582.10493902439 \tabularnewline
V(Y[t],d=3,D=1) & 30707.1979710145 & Range & 1021 & Trim Var. & 11233.7805064103 \tabularnewline
V(Y[t],d=0,D=2) & 88021.1312012012 & Range & 1118.8 & Trim Var. & 65989.3132954546 \tabularnewline
V(Y[t],d=1,D=2) & 16478.3414285714 & Range & 580.4 & Trim Var. & 10054.5024092742 \tabularnewline
V(Y[t],d=2,D=2) & 30428.5764369748 & Range & 778.299999999999 & Trim Var. & 17506.6831612903 \tabularnewline
V(Y[t],d=3,D=2) & 90003.7893137254 & Range & 1352.00000000000 & Trim Var. & 47463.4275402299 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62125&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]72441.606010929[/C][C]Range[/C][C]932.7[/C][C]Trim Var.[/C][C]54418.9612844702[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]3421.33858474576[/C][C]Range[/C][C]322.6[/C][C]Trim Var.[/C][C]1628.03909503843[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]4608.58670952659[/C][C]Range[/C][C]407.4[/C][C]Trim Var.[/C][C]2257.58974600871[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]12855.6388384755[/C][C]Range[/C][C]621.6[/C][C]Trim Var.[/C][C]6555.66212292609[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]127764.529311224[/C][C]Range[/C][C]1090.5[/C][C]Trim Var.[/C][C]105425.296611296[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]6351.76439716312[/C][C]Range[/C][C]449.6[/C][C]Trim Var.[/C][C]2969.44429732869[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]10292.611480111[/C][C]Range[/C][C]561.5[/C][C]Trim Var.[/C][C]4582.10493902439[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]30707.1979710145[/C][C]Range[/C][C]1021[/C][C]Trim Var.[/C][C]11233.7805064103[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]88021.1312012012[/C][C]Range[/C][C]1118.8[/C][C]Trim Var.[/C][C]65989.3132954546[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]16478.3414285714[/C][C]Range[/C][C]580.4[/C][C]Trim Var.[/C][C]10054.5024092742[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]30428.5764369748[/C][C]Range[/C][C]778.299999999999[/C][C]Trim Var.[/C][C]17506.6831612903[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]90003.7893137254[/C][C]Range[/C][C]1352.00000000000[/C][C]Trim Var.[/C][C]47463.4275402299[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62125&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62125&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)72441.606010929Range932.7Trim Var.54418.9612844702
V(Y[t],d=1,D=0)3421.33858474576Range322.6Trim Var.1628.03909503843
V(Y[t],d=2,D=0)4608.58670952659Range407.4Trim Var.2257.58974600871
V(Y[t],d=3,D=0)12855.6388384755Range621.6Trim Var.6555.66212292609
V(Y[t],d=0,D=1)127764.529311224Range1090.5Trim Var.105425.296611296
V(Y[t],d=1,D=1)6351.76439716312Range449.6Trim Var.2969.44429732869
V(Y[t],d=2,D=1)10292.611480111Range561.5Trim Var.4582.10493902439
V(Y[t],d=3,D=1)30707.1979710145Range1021Trim Var.11233.7805064103
V(Y[t],d=0,D=2)88021.1312012012Range1118.8Trim Var.65989.3132954546
V(Y[t],d=1,D=2)16478.3414285714Range580.4Trim Var.10054.5024092742
V(Y[t],d=2,D=2)30428.5764369748Range778.299999999999Trim Var.17506.6831612903
V(Y[t],d=3,D=2)90003.7893137254Range1352.00000000000Trim Var.47463.4275402299



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')