Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationTue, 23 Dec 2008 12:42:34 -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/23/t1230061416cjs194gtqopkox1.htm/, Retrieved Sun, 19 May 2024 09:20:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36382, Retrieved Sun, 19 May 2024 09:20:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [VRM Vrouwen] [2008-12-23 19:42:34] [f0e1dc59aca2fa8d78080b39899f316a] [Current]
Feedback Forum

Post a new message
Dataseries X:
54327
53476
52258
50156
47925
45844
47605
63617
67028
65845
60106
55317
53188
51010
49364
47616
45429
43480
44964
61008
64530
62960
57529
52954
51374
49211
47980
45575
44431
43596
45544
60109
63695
60819
54709
49357
46913
46728
44576
41988
40880
37860
38532
52713
56139
50939
46352
42169
42025
41713
40123
37737
36928
33812
36122
48823
51520
47090
42683
39947




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36382&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36382&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36382&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Variance Reduction Matrix
V(Y[t],d=0,D=0)65748403.0327684Range33216Trim Var.47006232.6320755
V(Y[t],d=1,D=0)26803173.5458796Range22154Trim Var.13390866.8018868
V(Y[t],d=2,D=0)33882013.1315789Range27161Trim Var.17575912.4988688
V(Y[t],d=3,D=0)73144170.1171679Range38209Trim Var.33545076.2149020
V(Y[t],d=0,D=1)4660032.26551418Range10460Trim Var.2442344.70673635
V(Y[t],d=1,D=1)998822.563367253Range4624Trim Var.542369.587804878
V(Y[t],d=2,D=1)1878916.17198068Range6965Trim Var.887785.342948718
V(Y[t],d=3,D=1)5783434.6949495Range11752Trim Var.3050692.46693657
V(Y[t],d=0,D=2)13161632.4349206Range13770Trim Var.9200838.69354839
V(Y[t],d=1,D=2)2547664.26386555Range6463Trim Var.1729746.31827957
V(Y[t],d=2,D=2)5200901.9714795Range8932Trim Var.3374411.13678161
V(Y[t],d=3,D=2)15943530.2518939Range16957Trim Var.10174376.3497537

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 65748403.0327684 & Range & 33216 & Trim Var. & 47006232.6320755 \tabularnewline
V(Y[t],d=1,D=0) & 26803173.5458796 & Range & 22154 & Trim Var. & 13390866.8018868 \tabularnewline
V(Y[t],d=2,D=0) & 33882013.1315789 & Range & 27161 & Trim Var. & 17575912.4988688 \tabularnewline
V(Y[t],d=3,D=0) & 73144170.1171679 & Range & 38209 & Trim Var. & 33545076.2149020 \tabularnewline
V(Y[t],d=0,D=1) & 4660032.26551418 & Range & 10460 & Trim Var. & 2442344.70673635 \tabularnewline
V(Y[t],d=1,D=1) & 998822.563367253 & Range & 4624 & Trim Var. & 542369.587804878 \tabularnewline
V(Y[t],d=2,D=1) & 1878916.17198068 & Range & 6965 & Trim Var. & 887785.342948718 \tabularnewline
V(Y[t],d=3,D=1) & 5783434.6949495 & Range & 11752 & Trim Var. & 3050692.46693657 \tabularnewline
V(Y[t],d=0,D=2) & 13161632.4349206 & Range & 13770 & Trim Var. & 9200838.69354839 \tabularnewline
V(Y[t],d=1,D=2) & 2547664.26386555 & Range & 6463 & Trim Var. & 1729746.31827957 \tabularnewline
V(Y[t],d=2,D=2) & 5200901.9714795 & Range & 8932 & Trim Var. & 3374411.13678161 \tabularnewline
V(Y[t],d=3,D=2) & 15943530.2518939 & Range & 16957 & Trim Var. & 10174376.3497537 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36382&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]65748403.0327684[/C][C]Range[/C][C]33216[/C][C]Trim Var.[/C][C]47006232.6320755[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]26803173.5458796[/C][C]Range[/C][C]22154[/C][C]Trim Var.[/C][C]13390866.8018868[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]33882013.1315789[/C][C]Range[/C][C]27161[/C][C]Trim Var.[/C][C]17575912.4988688[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]73144170.1171679[/C][C]Range[/C][C]38209[/C][C]Trim Var.[/C][C]33545076.2149020[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]4660032.26551418[/C][C]Range[/C][C]10460[/C][C]Trim Var.[/C][C]2442344.70673635[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]998822.563367253[/C][C]Range[/C][C]4624[/C][C]Trim Var.[/C][C]542369.587804878[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]1878916.17198068[/C][C]Range[/C][C]6965[/C][C]Trim Var.[/C][C]887785.342948718[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]5783434.6949495[/C][C]Range[/C][C]11752[/C][C]Trim Var.[/C][C]3050692.46693657[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]13161632.4349206[/C][C]Range[/C][C]13770[/C][C]Trim Var.[/C][C]9200838.69354839[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]2547664.26386555[/C][C]Range[/C][C]6463[/C][C]Trim Var.[/C][C]1729746.31827957[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]5200901.9714795[/C][C]Range[/C][C]8932[/C][C]Trim Var.[/C][C]3374411.13678161[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]15943530.2518939[/C][C]Range[/C][C]16957[/C][C]Trim Var.[/C][C]10174376.3497537[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36382&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36382&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)65748403.0327684Range33216Trim Var.47006232.6320755
V(Y[t],d=1,D=0)26803173.5458796Range22154Trim Var.13390866.8018868
V(Y[t],d=2,D=0)33882013.1315789Range27161Trim Var.17575912.4988688
V(Y[t],d=3,D=0)73144170.1171679Range38209Trim Var.33545076.2149020
V(Y[t],d=0,D=1)4660032.26551418Range10460Trim Var.2442344.70673635
V(Y[t],d=1,D=1)998822.563367253Range4624Trim Var.542369.587804878
V(Y[t],d=2,D=1)1878916.17198068Range6965Trim Var.887785.342948718
V(Y[t],d=3,D=1)5783434.6949495Range11752Trim Var.3050692.46693657
V(Y[t],d=0,D=2)13161632.4349206Range13770Trim Var.9200838.69354839
V(Y[t],d=1,D=2)2547664.26386555Range6463Trim Var.1729746.31827957
V(Y[t],d=2,D=2)5200901.9714795Range8932Trim Var.3374411.13678161
V(Y[t],d=3,D=2)15943530.2518939Range16957Trim Var.10174376.3497537



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')