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, 15 Dec 2011 10:59:00 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/15/t1323964756ilie6jx7gw7z5qt.htm/, Retrieved Thu, 09 May 2024 00:40:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155527, Retrieved Thu, 09 May 2024 00:40:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [WS 10 - Pearson c...] [2010-12-10 16:13:49] [033eb2749a430605d9b2be7c4aac4a0c]
-         [Kendall tau Correlation Matrix] [] [2010-12-13 18:15:16] [d7b28a0391ab3b2ddc9f9fba95a43f33]
- RMPD      [Variance Reduction Matrix] [] [2010-12-24 12:02:39] [b07cd1964830aab808142229b1166ece]
-   PD          [Variance Reduction Matrix] [VRM paper Ba 2] [2011-12-15 15:59:00] [0e2c18186cab982e7ba7b89fbe242e59] [Current]
Feedback Forum

Post a new message
Dataseries X:
1770
2203
2836
1976
2150
2180
2631
1781
2327
2260
2051
2250
2102
2957
2485
2871
2447
2570
2622
1840
2682
2369
2119
2531
2214
3206
2709
2734
2348
2702
2642
2064
2647
2534
2297
2718
2321
3112
2664
2808
2668
2934
2616
2228
2463
2416
2407
2582
2101
3305
2818
2401
3019
2507
2948
2210
2467
2596
2451
2233
2393
3122
2801
2656
2782
2604
2803
2178
2324
2536
2408
2261
2166
3243
2296
2719
2734
2297
2732
1904
2397
2473
1967
2471
2203
3053
2350
2807
2639
2646
2577
1860
2624
2590
2261
3342
2840
3328
3245
3025
2915
3579
2787
2397
3065
2154
2689
3187
2540
3469
3005
2573
2998
2768
2556
2414
2467
2136
2493
2735
2316
3042
2364
2248
2714
2583
2631
1965
2209
1964
2132




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155527&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155527&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155527&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'Herman Ole Andreas Wold' @ wold.wessa.net







Variance Reduction Matrix
V(Y[t],d=0,D=0)135821.959483265Range1809Trim Var.83575.830386089
V(Y[t],d=1,D=0)235238.278831246Range2151Trim Var.157835.636581709
V(Y[t],d=2,D=0)758265.020469961Range3709Trim Var.544397.347368421
V(Y[t],d=3,D=0)2636743.79964321Range6770Trim Var.1918374.44123583
V(Y[t],d=0,D=1)100189.406637231Range1744Trim Var.52551.0848174925
V(Y[t],d=1,D=1)158172.334130088Range2351Trim Var.93583.6736747529
V(Y[t],d=2,D=1)525094.98467433Range4195Trim Var.293371.950549451
V(Y[t],d=3,D=1)1792450.20029985Range8073Trim Var.987247.611277072
V(Y[t],d=0,D=2)205026.090107565Range2585Trim Var.113237.427099664
V(Y[t],d=1,D=2)367725.052021563Range3064Trim Var.210326.572463768
V(Y[t],d=2,D=2)1222109.75952381Range5541Trim Var.747540.077372604
V(Y[t],d=3,D=2)4219423.53360717Range9405Trim Var.2547181.74617774

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 135821.959483265 & Range & 1809 & Trim Var. & 83575.830386089 \tabularnewline
V(Y[t],d=1,D=0) & 235238.278831246 & Range & 2151 & Trim Var. & 157835.636581709 \tabularnewline
V(Y[t],d=2,D=0) & 758265.020469961 & Range & 3709 & Trim Var. & 544397.347368421 \tabularnewline
V(Y[t],d=3,D=0) & 2636743.79964321 & Range & 6770 & Trim Var. & 1918374.44123583 \tabularnewline
V(Y[t],d=0,D=1) & 100189.406637231 & Range & 1744 & Trim Var. & 52551.0848174925 \tabularnewline
V(Y[t],d=1,D=1) & 158172.334130088 & Range & 2351 & Trim Var. & 93583.6736747529 \tabularnewline
V(Y[t],d=2,D=1) & 525094.98467433 & Range & 4195 & Trim Var. & 293371.950549451 \tabularnewline
V(Y[t],d=3,D=1) & 1792450.20029985 & Range & 8073 & Trim Var. & 987247.611277072 \tabularnewline
V(Y[t],d=0,D=2) & 205026.090107565 & Range & 2585 & Trim Var. & 113237.427099664 \tabularnewline
V(Y[t],d=1,D=2) & 367725.052021563 & Range & 3064 & Trim Var. & 210326.572463768 \tabularnewline
V(Y[t],d=2,D=2) & 1222109.75952381 & Range & 5541 & Trim Var. & 747540.077372604 \tabularnewline
V(Y[t],d=3,D=2) & 4219423.53360717 & Range & 9405 & Trim Var. & 2547181.74617774 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155527&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]135821.959483265[/C][C]Range[/C][C]1809[/C][C]Trim Var.[/C][C]83575.830386089[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]235238.278831246[/C][C]Range[/C][C]2151[/C][C]Trim Var.[/C][C]157835.636581709[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]758265.020469961[/C][C]Range[/C][C]3709[/C][C]Trim Var.[/C][C]544397.347368421[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]2636743.79964321[/C][C]Range[/C][C]6770[/C][C]Trim Var.[/C][C]1918374.44123583[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]100189.406637231[/C][C]Range[/C][C]1744[/C][C]Trim Var.[/C][C]52551.0848174925[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]158172.334130088[/C][C]Range[/C][C]2351[/C][C]Trim Var.[/C][C]93583.6736747529[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]525094.98467433[/C][C]Range[/C][C]4195[/C][C]Trim Var.[/C][C]293371.950549451[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1792450.20029985[/C][C]Range[/C][C]8073[/C][C]Trim Var.[/C][C]987247.611277072[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]205026.090107565[/C][C]Range[/C][C]2585[/C][C]Trim Var.[/C][C]113237.427099664[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]367725.052021563[/C][C]Range[/C][C]3064[/C][C]Trim Var.[/C][C]210326.572463768[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]1222109.75952381[/C][C]Range[/C][C]5541[/C][C]Trim Var.[/C][C]747540.077372604[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]4219423.53360717[/C][C]Range[/C][C]9405[/C][C]Trim Var.[/C][C]2547181.74617774[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155527&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155527&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)135821.959483265Range1809Trim Var.83575.830386089
V(Y[t],d=1,D=0)235238.278831246Range2151Trim Var.157835.636581709
V(Y[t],d=2,D=0)758265.020469961Range3709Trim Var.544397.347368421
V(Y[t],d=3,D=0)2636743.79964321Range6770Trim Var.1918374.44123583
V(Y[t],d=0,D=1)100189.406637231Range1744Trim Var.52551.0848174925
V(Y[t],d=1,D=1)158172.334130088Range2351Trim Var.93583.6736747529
V(Y[t],d=2,D=1)525094.98467433Range4195Trim Var.293371.950549451
V(Y[t],d=3,D=1)1792450.20029985Range8073Trim Var.987247.611277072
V(Y[t],d=0,D=2)205026.090107565Range2585Trim Var.113237.427099664
V(Y[t],d=1,D=2)367725.052021563Range3064Trim Var.210326.572463768
V(Y[t],d=2,D=2)1222109.75952381Range5541Trim Var.747540.077372604
V(Y[t],d=3,D=2)4219423.53360717Range9405Trim Var.2547181.74617774



Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 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(myx,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')
bitmap(file='pic0.png')
op <- par(mfrow=c(2,2))
plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0')
plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0')
plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1')
plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1')
par(op)
dev.off()