Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationFri, 14 Dec 2007 03:38:19 -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/2007/Dec/14/t1197627822hanhdv5edi4et9k.htm/, Retrieved Thu, 02 May 2024 23:09:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3820, Retrieved Thu, 02 May 2024 23:09:58 +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)
-       [Variance Reduction Matrix] [Variance Reductio...] [2007-12-14 10:38:19] [0c269222ff5238ed17e011dfedaec76b] [Current]
Feedback Forum

Post a new message
Dataseries X:
733.6
844.9
864.3
833.5
814.9
820.4
710.8
773.1
801.2
832.9
808.3
817.2
745.5
932.6
1057.0
879.9
1089.5
903.0
846.1
959.1
952.0
1092.5
1188.9
996.7
1034.3
898.2
1111.6
900.5
1049.2
1010.9
875.9
849.9
713.4
918.6
912.5
767.0
902.2
891.9
874.0
930.9
944.2
935.9
937.1
885.1
892.4
987.3
946.3
799.6
875.4
846.2
880.6
885.7
868.9
882.5
789.6
773.3
804.3
817.8
836.7
721.8




Summary of compuational 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 compuational 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=3820&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]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=3820&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3820&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)10374.8199548023Range478.1Trim Var.6399.72023759609
V(Y[t],d=1,D=0)10408.3872413793Range424.5Trim Var.6841.85023222061
V(Y[t],d=2,D=0)30196.9526315789Range811.2Trim Var.17494.0703883861
V(Y[t],d=3,D=0)101796.661246867Range1567.1Trim Var.56355.6302666667
V(Y[t],d=0,D=1)21602.5696764184Range657Trim Var.12772.3913182346
V(Y[t],d=1,D=1)14487.9438390379Range591.2Trim Var.8058.5928902439
V(Y[t],d=2,D=1)44953.9540676328Range931.8Trim Var.24026.1040961538
V(Y[t],d=3,D=1)160837.278818182Range1759.1Trim Var.83935.7623616734
V(Y[t],d=0,D=2)58165.3001587302Range1074.6Trim Var.38003.3678125
V(Y[t],d=1,D=2)42643.1193781512Range848Trim Var.28942.6239139785
V(Y[t],d=2,D=2)120580.116934046Range1398.6Trim Var.77077.4361954023
V(Y[t],d=3,D=2)421934.902973485Range2621.6Trim Var.277697.241674877

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 10374.8199548023 & Range & 478.1 & Trim Var. & 6399.72023759609 \tabularnewline
V(Y[t],d=1,D=0) & 10408.3872413793 & Range & 424.5 & Trim Var. & 6841.85023222061 \tabularnewline
V(Y[t],d=2,D=0) & 30196.9526315789 & Range & 811.2 & Trim Var. & 17494.0703883861 \tabularnewline
V(Y[t],d=3,D=0) & 101796.661246867 & Range & 1567.1 & Trim Var. & 56355.6302666667 \tabularnewline
V(Y[t],d=0,D=1) & 21602.5696764184 & Range & 657 & Trim Var. & 12772.3913182346 \tabularnewline
V(Y[t],d=1,D=1) & 14487.9438390379 & Range & 591.2 & Trim Var. & 8058.5928902439 \tabularnewline
V(Y[t],d=2,D=1) & 44953.9540676328 & Range & 931.8 & Trim Var. & 24026.1040961538 \tabularnewline
V(Y[t],d=3,D=1) & 160837.278818182 & Range & 1759.1 & Trim Var. & 83935.7623616734 \tabularnewline
V(Y[t],d=0,D=2) & 58165.3001587302 & Range & 1074.6 & Trim Var. & 38003.3678125 \tabularnewline
V(Y[t],d=1,D=2) & 42643.1193781512 & Range & 848 & Trim Var. & 28942.6239139785 \tabularnewline
V(Y[t],d=2,D=2) & 120580.116934046 & Range & 1398.6 & Trim Var. & 77077.4361954023 \tabularnewline
V(Y[t],d=3,D=2) & 421934.902973485 & Range & 2621.6 & Trim Var. & 277697.241674877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3820&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]10374.8199548023[/C][C]Range[/C][C]478.1[/C][C]Trim Var.[/C][C]6399.72023759609[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]10408.3872413793[/C][C]Range[/C][C]424.5[/C][C]Trim Var.[/C][C]6841.85023222061[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]30196.9526315789[/C][C]Range[/C][C]811.2[/C][C]Trim Var.[/C][C]17494.0703883861[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]101796.661246867[/C][C]Range[/C][C]1567.1[/C][C]Trim Var.[/C][C]56355.6302666667[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]21602.5696764184[/C][C]Range[/C][C]657[/C][C]Trim Var.[/C][C]12772.3913182346[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]14487.9438390379[/C][C]Range[/C][C]591.2[/C][C]Trim Var.[/C][C]8058.5928902439[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]44953.9540676328[/C][C]Range[/C][C]931.8[/C][C]Trim Var.[/C][C]24026.1040961538[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]160837.278818182[/C][C]Range[/C][C]1759.1[/C][C]Trim Var.[/C][C]83935.7623616734[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]58165.3001587302[/C][C]Range[/C][C]1074.6[/C][C]Trim Var.[/C][C]38003.3678125[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]42643.1193781512[/C][C]Range[/C][C]848[/C][C]Trim Var.[/C][C]28942.6239139785[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]120580.116934046[/C][C]Range[/C][C]1398.6[/C][C]Trim Var.[/C][C]77077.4361954023[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]421934.902973485[/C][C]Range[/C][C]2621.6[/C][C]Trim Var.[/C][C]277697.241674877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3820&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3820&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)10374.8199548023Range478.1Trim Var.6399.72023759609
V(Y[t],d=1,D=0)10408.3872413793Range424.5Trim Var.6841.85023222061
V(Y[t],d=2,D=0)30196.9526315789Range811.2Trim Var.17494.0703883861
V(Y[t],d=3,D=0)101796.661246867Range1567.1Trim Var.56355.6302666667
V(Y[t],d=0,D=1)21602.5696764184Range657Trim Var.12772.3913182346
V(Y[t],d=1,D=1)14487.9438390379Range591.2Trim Var.8058.5928902439
V(Y[t],d=2,D=1)44953.9540676328Range931.8Trim Var.24026.1040961538
V(Y[t],d=3,D=1)160837.278818182Range1759.1Trim Var.83935.7623616734
V(Y[t],d=0,D=2)58165.3001587302Range1074.6Trim Var.38003.3678125
V(Y[t],d=1,D=2)42643.1193781512Range848Trim Var.28942.6239139785
V(Y[t],d=2,D=2)120580.116934046Range1398.6Trim Var.77077.4361954023
V(Y[t],d=3,D=2)421934.902973485Range2621.6Trim Var.277697.241674877



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')