Free Statistics

of Irreproducible Research!

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, 08 Dec 2008 13:43:14 -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/08/t1228769026rgwc6kqpijo3ugv.htm/, Retrieved Thu, 16 May 2024 06:09:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30994, Retrieved Thu, 16 May 2024 06:09:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:13:12] [7173087adebe3e3a714c80ea2417b3eb]
-   PD    [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 18:55:20] [7173087adebe3e3a714c80ea2417b3eb]
- RM        [Central Tendency] [central tendency ...] [2008-10-19 19:10:37] [7173087adebe3e3a714c80ea2417b3eb]
- RMP           [Variance Reduction Matrix] [VRM own dataset s...] [2008-12-08 20:43:14] [95d95b0e883740fcbc85e18ec42dcafb] [Current]
Feedback Forum

Post a new message
Dataseries X:
5014
6153
6441
5584
6427
6062
5589
6216
5809
4989
6706
7174
6122
8075
6292
6337
8576
6077
5931
6288
7167
6054
6468
6401
6927
7914
7728
8699
8522
6481
7502
7778
7424
6941
8574
9169
7701
9035
7158
8195
8124
7073
7017
7390
7776
6197
6889
7087
6485
7654
6501
6313
7826
6589
6729
5684
8105
6391
5901
6758




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30994&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30994&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30994&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'George Udny Yule' @ 72.249.76.132







Variance Reduction Matrix
V(Y[t],d=0,D=0)954500.389548023Range4180Trim Var.650740.722921034
V(Y[t],d=1,D=0)1222276.73348919Range4920Trim Var.813000.129172714
V(Y[t],d=2,D=0)3668776.12099214Range8204Trim Var.2451919.53393665
V(Y[t],d=3,D=0)12012656.6077694Range14692Trim Var.8046739.12
V(Y[t],d=0,D=1)1308234.02127660Range4850Trim Var.810299.912311266
V(Y[t],d=1,D=1)1293779.68455134Range4451Trim Var.891925.825609756
V(Y[t],d=2,D=1)3559017.12705314Range6983Trim Var.2543054.1
V(Y[t],d=3,D=1)10879934.0222222Range11839Trim Var.7790375.55195681
V(Y[t],d=0,D=2)3193998.07301587Range8391Trim Var.1855234.93145161
V(Y[t],d=1,D=2)3855443.37310924Range7480Trim Var.2733598.59569892
V(Y[t],d=2,D=2)10152387.7040998Range11173Trim Var.7608851.40689655
V(Y[t],d=3,D=2)30375515.2973485Range19726Trim Var.21457215.544335

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 954500.389548023 & Range & 4180 & Trim Var. & 650740.722921034 \tabularnewline
V(Y[t],d=1,D=0) & 1222276.73348919 & Range & 4920 & Trim Var. & 813000.129172714 \tabularnewline
V(Y[t],d=2,D=0) & 3668776.12099214 & Range & 8204 & Trim Var. & 2451919.53393665 \tabularnewline
V(Y[t],d=3,D=0) & 12012656.6077694 & Range & 14692 & Trim Var. & 8046739.12 \tabularnewline
V(Y[t],d=0,D=1) & 1308234.02127660 & Range & 4850 & Trim Var. & 810299.912311266 \tabularnewline
V(Y[t],d=1,D=1) & 1293779.68455134 & Range & 4451 & Trim Var. & 891925.825609756 \tabularnewline
V(Y[t],d=2,D=1) & 3559017.12705314 & Range & 6983 & Trim Var. & 2543054.1 \tabularnewline
V(Y[t],d=3,D=1) & 10879934.0222222 & Range & 11839 & Trim Var. & 7790375.55195681 \tabularnewline
V(Y[t],d=0,D=2) & 3193998.07301587 & Range & 8391 & Trim Var. & 1855234.93145161 \tabularnewline
V(Y[t],d=1,D=2) & 3855443.37310924 & Range & 7480 & Trim Var. & 2733598.59569892 \tabularnewline
V(Y[t],d=2,D=2) & 10152387.7040998 & Range & 11173 & Trim Var. & 7608851.40689655 \tabularnewline
V(Y[t],d=3,D=2) & 30375515.2973485 & Range & 19726 & Trim Var. & 21457215.544335 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30994&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]954500.389548023[/C][C]Range[/C][C]4180[/C][C]Trim Var.[/C][C]650740.722921034[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]1222276.73348919[/C][C]Range[/C][C]4920[/C][C]Trim Var.[/C][C]813000.129172714[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]3668776.12099214[/C][C]Range[/C][C]8204[/C][C]Trim Var.[/C][C]2451919.53393665[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]12012656.6077694[/C][C]Range[/C][C]14692[/C][C]Trim Var.[/C][C]8046739.12[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]1308234.02127660[/C][C]Range[/C][C]4850[/C][C]Trim Var.[/C][C]810299.912311266[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]1293779.68455134[/C][C]Range[/C][C]4451[/C][C]Trim Var.[/C][C]891925.825609756[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]3559017.12705314[/C][C]Range[/C][C]6983[/C][C]Trim Var.[/C][C]2543054.1[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]10879934.0222222[/C][C]Range[/C][C]11839[/C][C]Trim Var.[/C][C]7790375.55195681[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]3193998.07301587[/C][C]Range[/C][C]8391[/C][C]Trim Var.[/C][C]1855234.93145161[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]3855443.37310924[/C][C]Range[/C][C]7480[/C][C]Trim Var.[/C][C]2733598.59569892[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]10152387.7040998[/C][C]Range[/C][C]11173[/C][C]Trim Var.[/C][C]7608851.40689655[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]30375515.2973485[/C][C]Range[/C][C]19726[/C][C]Trim Var.[/C][C]21457215.544335[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30994&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30994&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)954500.389548023Range4180Trim Var.650740.722921034
V(Y[t],d=1,D=0)1222276.73348919Range4920Trim Var.813000.129172714
V(Y[t],d=2,D=0)3668776.12099214Range8204Trim Var.2451919.53393665
V(Y[t],d=3,D=0)12012656.6077694Range14692Trim Var.8046739.12
V(Y[t],d=0,D=1)1308234.02127660Range4850Trim Var.810299.912311266
V(Y[t],d=1,D=1)1293779.68455134Range4451Trim Var.891925.825609756
V(Y[t],d=2,D=1)3559017.12705314Range6983Trim Var.2543054.1
V(Y[t],d=3,D=1)10879934.0222222Range11839Trim Var.7790375.55195681
V(Y[t],d=0,D=2)3193998.07301587Range8391Trim Var.1855234.93145161
V(Y[t],d=1,D=2)3855443.37310924Range7480Trim Var.2733598.59569892
V(Y[t],d=2,D=2)10152387.7040998Range11173Trim Var.7608851.40689655
V(Y[t],d=3,D=2)30375515.2973485Range19726Trim Var.21457215.544335



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')