Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_variancereduction.wasp

Title produced by software

Variance Reduction Matrix

Date of computation

Fri, 03 Dec 2010 10:09:27 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/03/t1291370849fxgal1znqd1rpji.htm/, Retrieved Tue, 07 May 2024 06:52:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104598, Retrieved Tue, 07 May 2024 06:52:15 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

166

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Variance Reduction Matrix] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
-   PD    [Variance Reduction Matrix] [Paper - Werkloosh...] [2010-12-03 10:09:27] [cfd788255f1b1b5389e58d7f218c70bf] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104598&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104598&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104598&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Variance Reduction Matrix
V(Y[t],d=0,D=0)	1236.46623374125	Range	111.814	Trim Var.	1048.57705246538
V(Y[t],d=1,D=0)	61.4198308513302	Range	38.269	Trim Var.	32.3181681624504
V(Y[t],d=2,D=0)	100.471572815694	Range	50.979	Trim Var.	64.2070368883768
V(Y[t],d=3,D=0)	247.687384513664	Range	83.66	Trim Var.	135.555695831835
V(Y[t],d=0,D=1)	709.289168862295	Range	93.053	Trim Var.	519.628310093614
V(Y[t],d=1,D=1)	27.9343924192090	Range	29.4079999999999	Trim Var.	13.932373222921
V(Y[t],d=2,D=1)	45.7514212092341	Range	36.9129999999998	Trim Var.	20.6286855145138
V(Y[t],d=3,D=1)	138.383644343617	Range	67.9899999999996	Trim Var.	61.317961515837
V(Y[t],d=0,D=2)	1164.63355668707	Range	114.228	Trim Var.	936.942045491695
V(Y[t],d=1,D=2)	55.9352802406912	Range	36.7449999999998	Trim Var.	26.4907731666666
V(Y[t],d=2,D=2)	111.998508922293	Range	58.1269999999998	Trim Var.	43.8488077451218
V(Y[t],d=3,D=2)	360.590413286954	Range	88.9819999999997	Trim Var.	156.357877843589

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 1236.46623374125 & Range & 111.814 & Trim Var. & 1048.57705246538 \tabularnewline
V(Y[t],d=1,D=0) & 61.4198308513302 & Range & 38.269 & Trim Var. & 32.3181681624504 \tabularnewline
V(Y[t],d=2,D=0) & 100.471572815694 & Range & 50.979 & Trim Var. & 64.2070368883768 \tabularnewline
V(Y[t],d=3,D=0) & 247.687384513664 & Range & 83.66 & Trim Var. & 135.555695831835 \tabularnewline
V(Y[t],d=0,D=1) & 709.289168862295 & Range & 93.053 & Trim Var. & 519.628310093614 \tabularnewline
V(Y[t],d=1,D=1) & 27.9343924192090 & Range & 29.4079999999999 & Trim Var. & 13.932373222921 \tabularnewline
V(Y[t],d=2,D=1) & 45.7514212092341 & Range & 36.9129999999998 & Trim Var. & 20.6286855145138 \tabularnewline
V(Y[t],d=3,D=1) & 138.383644343617 & Range & 67.9899999999996 & Trim Var. & 61.317961515837 \tabularnewline
V(Y[t],d=0,D=2) & 1164.63355668707 & Range & 114.228 & Trim Var. & 936.942045491695 \tabularnewline
V(Y[t],d=1,D=2) & 55.9352802406912 & Range & 36.7449999999998 & Trim Var. & 26.4907731666666 \tabularnewline
V(Y[t],d=2,D=2) & 111.998508922293 & Range & 58.1269999999998 & Trim Var. & 43.8488077451218 \tabularnewline
V(Y[t],d=3,D=2) & 360.590413286954 & Range & 88.9819999999997 & Trim Var. & 156.357877843589 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104598&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]1236.46623374125[/C][C]Range[/C][C]111.814[/C][C]Trim Var.[/C][C]1048.57705246538[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]61.4198308513302[/C][C]Range[/C][C]38.269[/C][C]Trim Var.[/C][C]32.3181681624504[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]100.471572815694[/C][C]Range[/C][C]50.979[/C][C]Trim Var.[/C][C]64.2070368883768[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]247.687384513664[/C][C]Range[/C][C]83.66[/C][C]Trim Var.[/C][C]135.555695831835[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]709.289168862295[/C][C]Range[/C][C]93.053[/C][C]Trim Var.[/C][C]519.628310093614[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]27.9343924192090[/C][C]Range[/C][C]29.4079999999999[/C][C]Trim Var.[/C][C]13.932373222921[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]45.7514212092341[/C][C]Range[/C][C]36.9129999999998[/C][C]Trim Var.[/C][C]20.6286855145138[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]138.383644343617[/C][C]Range[/C][C]67.9899999999996[/C][C]Trim Var.[/C][C]61.317961515837[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]1164.63355668707[/C][C]Range[/C][C]114.228[/C][C]Trim Var.[/C][C]936.942045491695[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]55.9352802406912[/C][C]Range[/C][C]36.7449999999998[/C][C]Trim Var.[/C][C]26.4907731666666[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]111.998508922293[/C][C]Range[/C][C]58.1269999999998[/C][C]Trim Var.[/C][C]43.8488077451218[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]360.590413286954[/C][C]Range[/C][C]88.9819999999997[/C][C]Trim Var.[/C][C]156.357877843589[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104598&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104598&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)	1236.46623374125	Range	111.814	Trim Var.	1048.57705246538
V(Y[t],d=1,D=0)	61.4198308513302	Range	38.269	Trim Var.	32.3181681624504
V(Y[t],d=2,D=0)	100.471572815694	Range	50.979	Trim Var.	64.2070368883768
V(Y[t],d=3,D=0)	247.687384513664	Range	83.66	Trim Var.	135.555695831835
V(Y[t],d=0,D=1)	709.289168862295	Range	93.053	Trim Var.	519.628310093614
V(Y[t],d=1,D=1)	27.9343924192090	Range	29.4079999999999	Trim Var.	13.932373222921
V(Y[t],d=2,D=1)	45.7514212092341	Range	36.9129999999998	Trim Var.	20.6286855145138
V(Y[t],d=3,D=1)	138.383644343617	Range	67.9899999999996	Trim Var.	61.317961515837
V(Y[t],d=0,D=2)	1164.63355668707	Range	114.228	Trim Var.	936.942045491695
V(Y[t],d=1,D=2)	55.9352802406912	Range	36.7449999999998	Trim Var.	26.4907731666666
V(Y[t],d=2,D=2)	111.998508922293	Range	58.1269999999998	Trim Var.	43.8488077451218
V(Y[t],d=3,D=2)	360.590413286954	Range	88.9819999999997	Trim Var.	156.357877843589

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code