## 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 computationSun, 22 Nov 2009 13:29:54 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/22/t1258893037w756hvqdk3rwqpb.htm/, Retrieved Sat, 13 Apr 2024 10:08:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58619, Retrieved Sat, 13 Apr 2024 10:08:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact634
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         [Variance Reduction Matrix] [Identifying Integ...] [2009-11-22 12:29:54] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-    D          [Variance Reduction Matrix] [WS 8 10] [2009-11-22 15:39:50] [6e4e01d7eb22a9f33d58ebb35753a195]
-    D          [Variance Reduction Matrix] [] [2009-11-23 15:40:52] [5d885a68c2332cc44f6191ec94766bfa]
-    D            [Variance Reduction Matrix] [] [2009-11-28 11:16:12] [5d885a68c2332cc44f6191ec94766bfa]
-    D            [Variance Reduction Matrix] [VRM] [2009-12-04 12:09:51] [74be16979710d4c4e7c6647856088456]
- R  D            [Variance Reduction Matrix] [] [2009-12-04 15:02:32] [fa71ec4c741ffec745cb91dcbd756720]
-   PD            [Variance Reduction Matrix] [] [2009-12-20 09:00:19] [5d885a68c2332cc44f6191ec94766bfa]
-    D          [Variance Reduction Matrix] [] [2009-11-24 10:06:54] [fef2f8976fa1eef1b54e2cee317fe737]
-    D            [Variance Reduction Matrix] [] [2009-12-18 14:51:51] [fef2f8976fa1eef1b54e2cee317fe737]
-    D              [Variance Reduction Matrix] [] [2009-12-18 14:53:27] [fef2f8976fa1eef1b54e2cee317fe737]
-    D          [Variance Reduction Matrix] [SHW WS8] [2009-11-24 12:00:42] [253127ae8da904b75450fbd69fe4eb21]
-   PD            [Variance Reduction Matrix] [ws8 model2.1] [2009-11-27 16:46:34] [95cead3ebb75668735f848316249436a]
-   PD              [Variance Reduction Matrix] [paper vrm1] [2009-12-13 15:23:40] [95cead3ebb75668735f848316249436a]
-    D                [Variance Reduction Matrix] [deel2 vrm] [2009-12-13 17:15:37] [95cead3ebb75668735f848316249436a]
-    D          [Variance Reduction Matrix] [Workshop 8] [2009-11-24 12:00:38] [214e6e00abbde49700521a7ef1d30da2]
-    D            [Variance Reduction Matrix] [WS 8.4] [2009-11-26 14:03:56] [830e13ac5e5ac1e5b21c6af0c149b21d]
- R  D            [Variance Reduction Matrix] [shw-ws8] [2009-11-27 12:23:15] [2663058f2a5dda519058ac6b2228468f]
-   P               [Variance Reduction Matrix] [VRM] [2009-12-29 15:30:26] [2663058f2a5dda519058ac6b2228468f]
- R  D          [Variance Reduction Matrix] [] [2009-11-24 13:01:06] [3445d50c581a74ea3ff7b84cc82fcfeb]
- R  D          [Variance Reduction Matrix] [] [2009-11-24 13:50:11] [e2ae2d788de9b949efa455f763351347]
-    D          [Variance Reduction Matrix] [] [2009-11-24 14:28:04] [1eab65e90adf64584b8e6f0da23ff414]
- R  D          [Variance Reduction Matrix] [Bestedingen consu...] [2009-11-24 15:46:16] [54d83950395cfb8ca1091bdb7440f70a]
-   PD            [Variance Reduction Matrix] [Workshop 9] [2010-12-10 21:08:50] [74be16979710d4c4e7c6647856088456]
-   PD            [Variance Reduction Matrix] [Workshop 9] [2010-12-10 21:08:50] [1ec36cc0fd92fd0f07d0b885ce2c369b]
- R  D            [Variance Reduction Matrix] [] [2010-12-27 20:53:01] [adca540665f1dd1a5a4406fd7f55bdf4]
-    D          [Variance Reduction Matrix] [Workshop 8 - Meth...] [2009-11-24 16:21:55] [74be16979710d4c4e7c6647856088456]
-    D            [Variance Reduction Matrix] [methode 2 VRM] [2009-11-26 14:16:51] [23722951c28e05bb35cc9a97084fe0d9]
-    D            [Variance Reduction Matrix] [] [2009-11-28 01:19:38] [74be16979710d4c4e7c6647856088456]
-                 [Variance Reduction Matrix] [workshop8/method ...] [2009-11-30 13:07:59] [24c4941ee50deadff4640c9c09cc70cb]
-                 [Variance Reduction Matrix] [] [2009-11-30 16:57:00] [74be16979710d4c4e7c6647856088456]
-                   [Variance Reduction Matrix] [] [2009-12-03 17:29:53] [74be16979710d4c4e7c6647856088456]
-                 [Variance Reduction Matrix] [Workshop 8: Metho...] [2009-12-07 12:41:36] [24c4941ee50deadff4640c9c09cc70cb]
-    D          [Variance Reduction Matrix] [] [2009-11-24 16:28:29] [1e83ffa964db6f7ea6ccc4e7b5acbbff]
- RMPD          [Spectral Analysis] [Workshop 8 - Meth...] [2009-11-24 16:40:10] [74be16979710d4c4e7c6647856088456]
-   P             [Spectral Analysis] [Workshop 8 - Meth...] [2009-11-24 17:06:28] [1646a2766cb8c4a6f9d3b2fffef409b3]
-    D              [Spectral Analysis] [] [2009-11-28 01:26:28] [74be16979710d4c4e7c6647856088456]
-   P                 [Spectral Analysis] [] [2009-11-28 01:28:53] [74be16979710d4c4e7c6647856088456]
-   P                   [Spectral Analysis] [] [2009-11-28 01:31:41] [74be16979710d4c4e7c6647856088456]
-                   [Spectral Analysis] [workshop 8/method...] [2009-11-30 13:19:45] [24c4941ee50deadff4640c9c09cc70cb]
-                   [Spectral Analysis] [] [2009-11-30 17:18:19] [74be16979710d4c4e7c6647856088456]
-                     [Spectral Analysis] [] [2009-12-03 17:32:24] [74be16979710d4c4e7c6647856088456]
-   P             [Spectral Analysis] [Workshop 8 - Meth...] [2009-11-24 17:10:16] [1646a2766cb8c4a6f9d3b2fffef409b3]
-   P               [Spectral Analysis] [Workshop 8 - Meth...] [2009-11-24 17:24:12] [1646a2766cb8c4a6f9d3b2fffef409b3]
-                     [Spectral Analysis] [Workshop 8/Method...] [2009-11-30 13:28:32] [24c4941ee50deadff4640c9c09cc70cb]
-   P                 [Spectral Analysis] [] [2009-11-30 17:25:30] [74be16979710d4c4e7c6647856088456]
-   P                   [Spectral Analysis] [] [2009-12-03 17:34:42] [74be16979710d4c4e7c6647856088456]
- RMP               [Standard Deviation-Mean Plot] [Workshop 8 - Remo...] [2009-11-24 17:37:19] [74be16979710d4c4e7c6647856088456]
-                   [Spectral Analysis] [Workshop 8/ Metho...] [2009-11-30 13:23:52] [24c4941ee50deadff4640c9c09cc70cb]
-                   [Spectral Analysis] [] [2009-11-30 17:21:18] [74be16979710d4c4e7c6647856088456]

[Truncated]
Feedback Forum

Post a new message
Dataseries X:
9700
9081
9084
9743
8587
9731
9563
9998
9437
10038
9918
9252
9737
9035
9133
9487
8700
9627
8947
9283
8829
9947
9628
9318
9605
8640
9214
9567
8547
9185
9470
9123
9278
10170
9434
9655
9429
8739
9552
9687
9019
9672
9206
9069
9788
10312
10105
9863
9656
9295
9946
9701
9049
10190
9706
9765
9893
9994
10433
10073
10112
9266
9820
10097
9115
10411
9678
10408
10153
10368
10581
10597
10680
9738
9556

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 0 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58619&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58619&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58619&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 0 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk

 Variance Reduction Matrix V(Y[t],d=0,D=0) 253077.01009009 Range 2133 Trim Var. 167329.40027137 V(Y[t],d=1,D=0) 356015.914846353 Range 2452 Trim Var. 248756.083916084 V(Y[t],d=2,D=0) 1124286.31925419 Range 4329 Trim Var. 806446.190865385 V(Y[t],d=3,D=0) 3882853.0915493 Range 8422 Trim Var. 2707041.76760913 V(Y[t],d=0,D=1) 112127.332309268 Range 1411 Trim Var. 69543.1468013468 V(Y[t],d=1,D=1) 156115.568746695 Range 1716 Trim Var. 102451.716631726 V(Y[t],d=2,D=1) 447909.61147541 Range 2940 Trim Var. 301310.313497823 V(Y[t],d=3,D=1) 1485820.16836158 Range 5842 Trim Var. 1045523.52061495 V(Y[t],d=0,D=2) 199543.894117647 Range 1926 Trim Var. 128515.294949495 V(Y[t],d=1,D=2) 355327.546530612 Range 3193 Trim Var. 191788.208773784 V(Y[t],d=2,D=2) 990066.195578231 Range 4670 Trim Var. 569058.377630122 V(Y[t],d=3,D=2) 3152189.7123227 Range 8239 Trim Var. 1705178.58536585

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 253077.01009009 & Range & 2133 & Trim Var. & 167329.40027137 \tabularnewline
V(Y[t],d=1,D=0) & 356015.914846353 & Range & 2452 & Trim Var. & 248756.083916084 \tabularnewline
V(Y[t],d=2,D=0) & 1124286.31925419 & Range & 4329 & Trim Var. & 806446.190865385 \tabularnewline
V(Y[t],d=3,D=0) & 3882853.0915493 & Range & 8422 & Trim Var. & 2707041.76760913 \tabularnewline
V(Y[t],d=0,D=1) & 112127.332309268 & Range & 1411 & Trim Var. & 69543.1468013468 \tabularnewline
V(Y[t],d=1,D=1) & 156115.568746695 & Range & 1716 & Trim Var. & 102451.716631726 \tabularnewline
V(Y[t],d=2,D=1) & 447909.61147541 & Range & 2940 & Trim Var. & 301310.313497823 \tabularnewline
V(Y[t],d=3,D=1) & 1485820.16836158 & Range & 5842 & Trim Var. & 1045523.52061495 \tabularnewline
V(Y[t],d=0,D=2) & 199543.894117647 & Range & 1926 & Trim Var. & 128515.294949495 \tabularnewline
V(Y[t],d=1,D=2) & 355327.546530612 & Range & 3193 & Trim Var. & 191788.208773784 \tabularnewline
V(Y[t],d=2,D=2) & 990066.195578231 & Range & 4670 & Trim Var. & 569058.377630122 \tabularnewline
V(Y[t],d=3,D=2) & 3152189.7123227 & Range & 8239 & Trim Var. & 1705178.58536585 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58619&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]253077.01009009[/C][C]Range[/C][C]2133[/C][C]Trim Var.[/C][C]167329.40027137[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]356015.914846353[/C][C]Range[/C][C]2452[/C][C]Trim Var.[/C][C]248756.083916084[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]1124286.31925419[/C][C]Range[/C][C]4329[/C][C]Trim Var.[/C][C]806446.190865385[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]3882853.0915493[/C][C]Range[/C][C]8422[/C][C]Trim Var.[/C][C]2707041.76760913[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]112127.332309268[/C][C]Range[/C][C]1411[/C][C]Trim Var.[/C][C]69543.1468013468[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]156115.568746695[/C][C]Range[/C][C]1716[/C][C]Trim Var.[/C][C]102451.716631726[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]447909.61147541[/C][C]Range[/C][C]2940[/C][C]Trim Var.[/C][C]301310.313497823[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]1485820.16836158[/C][C]Range[/C][C]5842[/C][C]Trim Var.[/C][C]1045523.52061495[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]199543.894117647[/C][C]Range[/C][C]1926[/C][C]Trim Var.[/C][C]128515.294949495[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]355327.546530612[/C][C]Range[/C][C]3193[/C][C]Trim Var.[/C][C]191788.208773784[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]990066.195578231[/C][C]Range[/C][C]4670[/C][C]Trim Var.[/C][C]569058.377630122[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]3152189.7123227[/C][C]Range[/C][C]8239[/C][C]Trim Var.[/C][C]1705178.58536585[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58619&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58619&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) 253077.01009009 Range 2133 Trim Var. 167329.40027137 V(Y[t],d=1,D=0) 356015.914846353 Range 2452 Trim Var. 248756.083916084 V(Y[t],d=2,D=0) 1124286.31925419 Range 4329 Trim Var. 806446.190865385 V(Y[t],d=3,D=0) 3882853.0915493 Range 8422 Trim Var. 2707041.76760913 V(Y[t],d=0,D=1) 112127.332309268 Range 1411 Trim Var. 69543.1468013468 V(Y[t],d=1,D=1) 156115.568746695 Range 1716 Trim Var. 102451.716631726 V(Y[t],d=2,D=1) 447909.61147541 Range 2940 Trim Var. 301310.313497823 V(Y[t],d=3,D=1) 1485820.16836158 Range 5842 Trim Var. 1045523.52061495 V(Y[t],d=0,D=2) 199543.894117647 Range 1926 Trim Var. 128515.294949495 V(Y[t],d=1,D=2) 355327.546530612 Range 3193 Trim Var. 191788.208773784 V(Y[t],d=2,D=2) 990066.195578231 Range 4670 Trim Var. 569058.377630122 V(Y[t],d=3,D=2) 3152189.7123227 Range 8239 Trim Var. 1705178.58536585

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 <- xif (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')