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 computationThu, 25 Nov 2010 16:50:08 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/25/t1290703692z606mmlb8vw5l6x.htm/, Retrieved Thu, 28 Mar 2024 20:00:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=101215, Retrieved Thu, 28 Mar 2024 20:00:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Spectral Analysis] [Identifying Integ...] [2009-11-22 12:38:17] [b98453cac15ba1066b407e146608df68]
-    D        [Spectral Analysis] [spectrumanalyse] [2009-11-28 09:48:21] [7773f496f69461f4a67891f0ef752622]
-   PD          [Spectral Analysis] [koffie en thee] [2009-12-16 20:15:20] [7773f496f69461f4a67891f0ef752622]
- RMPD            [Variance Reduction Matrix] [thee] [2009-12-16 20:39:57] [7773f496f69461f4a67891f0ef752622]
-    D              [Variance Reduction Matrix] [Appelen Jonagold ...] [2009-12-17 16:45:59] [7773f496f69461f4a67891f0ef752622]
-    D                  [Variance Reduction Matrix] [WS8 2] [2010-11-25 16:50:08] [c1f1b5e209adb4577289f490325e36f2] [Current]
Feedback Forum

Post a new message
Dataseries X:
 0.6923
 0.6886
 0.6855
 0.6745
 0.6769
 0.6758
 0.6896
 0.6843
 0.6818
 0.6774
 0.6821
 0.6885
 0.6829
 0.6796
 0.6976
 0.6924
 0.6849
 0.6921
 0.6839
 0.6727
 0.6776
 0.6692
 0.6738
 0.6740
 0.6635
 0.6737
 0.6788
 0.6828
 0.6795
 0.6740
 0.6744
 0.6764
 0.6987
 0.6967
 0.7116
 0.7357
 0.7455
 0.7639
 0.7958
 0.7864
 0.7853
 0.7903
 0.7866
 0.8039
 0.7916
 0.7903
 0.8242
 0.9567
 0.8850
 0.8865
 0.9258
 0.8948
 0.8762
 0.8527
 0.8536
 0.8805
 0.9155
 0.8961
 0.9127
 0.8857




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101215&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101215&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101215&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'George Udny Yule' @ 72.249.76.132







Variance Reduction Matrix
V(Y[t],d=0,D=0)0.00782381481355932Range0.2932Trim Var.0.00637472036338225
V(Y[t],d=1,D=0)0.00060095554061952Range0.2042Trim Var.0.000155337467343977
V(Y[t],d=2,D=0)0.00142186227767695Range0.3028Trim Var.0.000289610769230769
V(Y[t],d=3,D=0)0.00429355510025062Range0.5802Trim Var.0.00077602388235294
V(Y[t],d=0,D=1)0.00060095554061952Range0.2042Trim Var.0.000155337467343977
V(Y[t],d=1,D=1)0.00142186227767695Range0.3028Trim Var.0.000289610769230769
V(Y[t],d=2,D=1)0.00429355510025062Range0.5802Trim Var.0.00077602388235294
V(Y[t],d=3,D=1)0.0139653930616883Range0.9464Trim Var.0.00225508571428571
V(Y[t],d=0,D=2)0.00142186227767695Range0.3028Trim Var.0.000289610769230769
V(Y[t],d=1,D=2)0.00429355510025062Range0.5802Trim Var.0.00077602388235294
V(Y[t],d=2,D=2)0.0139653930616883Range0.9464Trim Var.0.00225508571428571
V(Y[t],d=3,D=2)0.0470339226127945Range1.8394Trim Var.0.0094109431972789

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 0.00782381481355932 & Range & 0.2932 & Trim Var. & 0.00637472036338225 \tabularnewline
V(Y[t],d=1,D=0) & 0.00060095554061952 & Range & 0.2042 & Trim Var. & 0.000155337467343977 \tabularnewline
V(Y[t],d=2,D=0) & 0.00142186227767695 & Range & 0.3028 & Trim Var. & 0.000289610769230769 \tabularnewline
V(Y[t],d=3,D=0) & 0.00429355510025062 & Range & 0.5802 & Trim Var. & 0.00077602388235294 \tabularnewline
V(Y[t],d=0,D=1) & 0.00060095554061952 & Range & 0.2042 & Trim Var. & 0.000155337467343977 \tabularnewline
V(Y[t],d=1,D=1) & 0.00142186227767695 & Range & 0.3028 & Trim Var. & 0.000289610769230769 \tabularnewline
V(Y[t],d=2,D=1) & 0.00429355510025062 & Range & 0.5802 & Trim Var. & 0.00077602388235294 \tabularnewline
V(Y[t],d=3,D=1) & 0.0139653930616883 & Range & 0.9464 & Trim Var. & 0.00225508571428571 \tabularnewline
V(Y[t],d=0,D=2) & 0.00142186227767695 & Range & 0.3028 & Trim Var. & 0.000289610769230769 \tabularnewline
V(Y[t],d=1,D=2) & 0.00429355510025062 & Range & 0.5802 & Trim Var. & 0.00077602388235294 \tabularnewline
V(Y[t],d=2,D=2) & 0.0139653930616883 & Range & 0.9464 & Trim Var. & 0.00225508571428571 \tabularnewline
V(Y[t],d=3,D=2) & 0.0470339226127945 & Range & 1.8394 & Trim Var. & 0.0094109431972789 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101215&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]0.00782381481355932[/C][C]Range[/C][C]0.2932[/C][C]Trim Var.[/C][C]0.00637472036338225[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]0.00060095554061952[/C][C]Range[/C][C]0.2042[/C][C]Trim Var.[/C][C]0.000155337467343977[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]0.00142186227767695[/C][C]Range[/C][C]0.3028[/C][C]Trim Var.[/C][C]0.000289610769230769[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]0.00429355510025062[/C][C]Range[/C][C]0.5802[/C][C]Trim Var.[/C][C]0.00077602388235294[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]0.00060095554061952[/C][C]Range[/C][C]0.2042[/C][C]Trim Var.[/C][C]0.000155337467343977[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]0.00142186227767695[/C][C]Range[/C][C]0.3028[/C][C]Trim Var.[/C][C]0.000289610769230769[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]0.00429355510025062[/C][C]Range[/C][C]0.5802[/C][C]Trim Var.[/C][C]0.00077602388235294[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]0.0139653930616883[/C][C]Range[/C][C]0.9464[/C][C]Trim Var.[/C][C]0.00225508571428571[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]0.00142186227767695[/C][C]Range[/C][C]0.3028[/C][C]Trim Var.[/C][C]0.000289610769230769[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]0.00429355510025062[/C][C]Range[/C][C]0.5802[/C][C]Trim Var.[/C][C]0.00077602388235294[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]0.0139653930616883[/C][C]Range[/C][C]0.9464[/C][C]Trim Var.[/C][C]0.00225508571428571[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]0.0470339226127945[/C][C]Range[/C][C]1.8394[/C][C]Trim Var.[/C][C]0.0094109431972789[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101215&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101215&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)0.00782381481355932Range0.2932Trim Var.0.00637472036338225
V(Y[t],d=1,D=0)0.00060095554061952Range0.2042Trim Var.0.000155337467343977
V(Y[t],d=2,D=0)0.00142186227767695Range0.3028Trim Var.0.000289610769230769
V(Y[t],d=3,D=0)0.00429355510025062Range0.5802Trim Var.0.00077602388235294
V(Y[t],d=0,D=1)0.00060095554061952Range0.2042Trim Var.0.000155337467343977
V(Y[t],d=1,D=1)0.00142186227767695Range0.3028Trim Var.0.000289610769230769
V(Y[t],d=2,D=1)0.00429355510025062Range0.5802Trim Var.0.00077602388235294
V(Y[t],d=3,D=1)0.0139653930616883Range0.9464Trim Var.0.00225508571428571
V(Y[t],d=0,D=2)0.00142186227767695Range0.3028Trim Var.0.000289610769230769
V(Y[t],d=1,D=2)0.00429355510025062Range0.5802Trim Var.0.00077602388235294
V(Y[t],d=2,D=2)0.0139653930616883Range0.9464Trim Var.0.00225508571428571
V(Y[t],d=3,D=2)0.0470339226127945Range1.8394Trim Var.0.0094109431972789



Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 1 ;
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')