Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_regression_trees1.wasp
Title produced by softwareRecursive Partitioning (Regression Trees)
Date of computationTue, 10 Dec 2013 04:32:20 -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/2013/Dec/10/t13866679987pwbmw8sd9nj203.htm/, Retrieved Fri, 29 Mar 2024 05:01:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231837, Retrieved Fri, 29 Mar 2024 05:01:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Recursive Partitioning (Regression Trees)] [Workshop 10] [2013-12-10 09:32:20] [67d37a8f6529c122cc345ef1d65d5ffd] [Current]
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Dataseries X:
1 1 41 38 13 12 14
1 1 39 32 16 11 18
1 1 30 35 19 15 11
1 0 31 33 15 6 12
1 1 34 37 14 13 16
1 1 35 29 13 10 18
1 1 39 31 19 12 14
1 1 34 36 15 14 14
1 1 36 35 14 12 15
1 1 37 38 15 9 15
1 0 38 31 16 10 17
1 1 36 34 16 12 19
1 0 38 35 16 12 10
1 1 39 38 16 11 16
1 1 33 37 17 15 18
1 0 32 33 15 12 14
1 0 36 32 15 10 14
1 1 38 38 20 12 17
1 0 39 38 18 11 14
1 1 32 32 16 12 16
1 0 32 33 16 11 18
1 1 31 31 16 12 11
1 1 39 38 19 13 14
1 1 37 39 16 11 12
1 0 39 32 17 12 17
1 1 41 32 17 13 9
1 0 36 35 16 10 16
1 1 33 37 15 14 14
1 1 33 33 16 12 15
1 0 34 33 14 10 11
1 1 31 31 15 12 16
1 0 27 32 12 8 13
1 1 37 31 14 10 17
1 1 34 37 16 12 15
1 0 34 30 14 12 14
1 0 32 33 10 7 16
1 0 29 31 10 9 9
1 0 36 33 14 12 15
1 1 29 31 16 10 17
1 0 35 33 16 10 13
1 0 37 32 16 10 15
1 1 34 33 14 12 16
1 0 38 32 20 15 16
1 0 35 33 14 10 12
1 1 38 28 14 10 15
1 1 37 35 11 12 11
1 1 38 39 14 13 15
1 1 33 34 15 11 15
1 1 36 38 16 11 17
1 0 38 32 14 12 13
1 1 32 38 16 14 16
1 0 32 30 14 10 14
1 0 32 33 12 12 11
1 1 34 38 16 13 12
1 0 32 32 9 5 12
1 1 37 35 14 6 15
1 1 39 34 16 12 16
1 1 29 34 16 12 15
1 0 37 36 15 11 12
1 1 35 34 16 10 12
1 0 30 28 12 7 8
1 0 38 34 16 12 13
1 1 34 35 16 14 11
1 1 31 35 14 11 14
1 1 34 31 16 12 15
1 0 35 37 17 13 10
1 1 36 35 18 14 11
1 0 30 27 18 11 12
1 1 39 40 12 12 15
1 0 35 37 16 12 15
1 0 38 36 10 8 14
1 1 31 38 14 11 16
1 1 34 39 18 14 15
1 0 38 41 18 14 15
1 0 34 27 16 12 13
1 1 39 30 17 9 12
1 1 37 37 16 13 17
1 1 34 31 16 11 13
1 0 28 31 13 12 15
1 0 37 27 16 12 13
1 0 33 36 16 12 15
1 1 35 37 16 12 15
1 0 37 33 15 12 16
1 1 32 34 15 11 15
1 1 33 31 16 10 14
1 0 38 39 14 9 15
1 1 33 34 16 12 14
1 1 29 32 16 12 13
1 1 33 33 15 12 7
1 1 31 36 12 9 17
1 1 36 32 17 15 13
1 1 35 41 16 12 15
1 1 32 28 15 12 14
1 1 29 30 13 12 13
1 1 39 36 16 10 16
1 1 37 35 16 13 12
1 1 35 31 16 9 14
1 0 37 34 16 12 17
1 0 32 36 14 10 15
1 1 38 36 16 14 17
1 0 37 35 16 11 12
1 1 36 37 20 15 16
1 0 32 28 15 11 11
1 1 33 39 16 11 15
1 0 40 32 13 12 9
1 1 38 35 17 12 16
1 0 41 39 16 12 15
1 0 36 35 16 11 10
1 1 43 42 12 7 10
1 1 30 34 16 12 15
1 1 31 33 16 14 11
1 1 32 41 17 11 13
1 1 37 34 12 10 18
1 0 37 32 18 13 16
1 1 33 40 14 13 14
1 1 34 40 14 8 14
1 1 33 35 13 11 14
1 1 38 36 16 12 14
1 0 33 37 13 11 12
1 1 31 27 16 13 14
1 1 38 39 13 12 15
1 1 37 38 16 14 15
1 1 36 31 15 13 15
1 1 31 33 16 15 13
1 0 39 32 15 10 17
1 1 44 39 17 11 17
1 1 33 36 15 9 19
1 1 35 33 12 11 15
1 0 32 33 16 10 13
1 0 28 32 10 11 9
1 1 40 37 16 8 15
1 0 27 30 12 11 15
1 0 37 38 14 12 15
1 1 32 29 15 12 16
1 0 28 22 13 9 11
1 0 34 35 15 11 14
1 1 30 35 11 10 11
1 1 35 34 12 8 15
1 0 31 35 11 9 13
1 1 32 34 16 8 15
1 0 30 37 15 9 16
1 1 30 35 17 15 14
1 0 31 23 16 11 15
1 1 40 31 10 8 16
1 1 32 27 18 13 16
1 0 36 36 13 12 11
1 0 32 31 16 12 12
1 0 35 32 13 9 9
1 1 38 39 10 7 16
1 1 42 37 15 13 13
1 0 34 38 16 9 16
1 1 35 39 16 6 12
1 1 38 34 14 8 9
1 1 33 31 10 8 13
1 1 32 37 13 6 14
1 1 33 36 15 9 19
1 1 34 32 16 11 13
1 1 32 38 12 8 12
0 0 27 26 13 10 10
0 0 31 26 12 8 14
0 0 38 33 17 14 16
0 1 34 39 15 10 10
0 0 24 30 10 8 11
0 0 30 33 14 11 14
0 1 26 25 11 12 12
0 1 34 38 13 12 9
0 0 27 37 16 12 9
0 0 37 31 12 5 11
0 1 36 37 16 12 16
0 0 41 35 12 10 9
0 1 29 25 9 7 13
0 1 36 28 12 12 16
0 0 32 35 15 11 13
0 1 37 33 12 8 9
0 0 30 30 12 9 12
0 1 31 31 14 10 16
0 1 38 37 12 9 11
0 1 36 36 16 12 14
0 0 35 30 11 6 13
0 0 31 36 19 15 15
0 0 38 32 15 12 14
0 1 22 28 8 12 16
0 1 32 36 16 12 13
0 0 36 34 17 11 14
0 1 39 31 12 7 15
0 0 28 28 11 7 13
0 0 32 36 11 5 11
0 1 32 36 14 12 11
0 1 38 40 16 12 14
0 1 32 33 12 3 15
0 1 35 37 16 11 11
0 1 32 32 13 10 15
0 0 37 38 15 12 12
0 1 34 31 16 9 14
0 1 33 37 16 12 14
0 0 33 33 14 9 8
0 0 30 30 16 12 9
0 0 24 30 14 10 15
0 0 34 31 11 9 17
0 0 34 32 12 12 13
0 1 33 34 15 8 15
0 1 34 36 15 11 15
0 1 35 37 16 11 14
0 0 35 36 16 12 16
0 0 36 33 11 10 13
0 0 34 33 15 10 16
0 1 34 33 12 12 9
0 0 41 44 12 12 16
0 0 32 39 15 11 11
0 0 30 32 15 8 10
0 1 35 35 16 12 11
0 0 28 25 14 10 15
0 1 33 35 17 11 17
0 1 39 34 14 10 14
0 0 36 35 13 8 8
0 1 36 39 15 12 15
0 0 35 33 13 12 11
0 0 38 36 14 10 16
0 1 33 32 15 12 10
0 0 31 32 12 9 15
0 1 32 36 8 6 16
0 0 31 32 14 10 19
0 0 33 34 14 9 12
0 0 34 33 11 9 8
0 0 34 35 12 9 11
0 1 34 30 13 6 14
0 0 33 38 10 10 9
0 0 32 34 16 6 15
0 1 41 33 18 14 13
0 1 34 32 13 10 16
0 0 36 31 11 10 11
0 0 37 30 4 6 12
0 0 36 27 13 12 13
0 1 29 31 16 12 10
0 0 37 30 10 7 11
0 0 27 32 12 8 12
0 0 35 35 12 11 8
0 0 28 28 10 3 12
0 0 35 33 13 6 12
0 0 29 35 12 8 11
0 0 32 35 14 9 13
0 1 36 32 10 9 14
0 1 19 21 12 8 10
0 1 21 20 12 9 12
0 0 31 34 11 7 15
0 0 33 32 10 7 13
0 1 36 34 12 6 13
0 1 33 32 16 9 13
0 0 37 33 12 10 12
0 0 34 33 14 11 12
0 0 35 37 16 12 9
0 1 31 32 14 8 9
0 1 37 34 13 11 15
0 1 35 30 4 3 10
0 1 27 30 15 11 14
0 0 34 38 11 12 15
0 0 40 36 11 7 7
0 0 29 32 14 9 14
0 0 38 34 15 12 8
0 1 34 33 14 8 10
0 0 21 27 13 11 13
0 0 36 32 11 8 13
0 1 38 34 15 10 13
0 0 30 29 11 8 8
0 0 35 35 13 7 12
0 1 30 27 13 8 13
0 1 36 33 16 10 12
0 0 34 38 13 8 10
0 1 35 36 16 12 13
0 0 34 33 16 14 12
0 0 32 39 12 7 9
0 1 33 29 7 6 15
0 0 33 32 16 11 13
0 1 26 34 5 4 13
0 0 35 38 16 9 13
0 0 21 17 4 5 15
0 0 38 35 12 9 15
0 0 35 32 15 11 14
0 1 33 34 14 12 15
0 0 37 36 11 9 11
0 0 38 31 16 12 15
0 1 34 35 15 10 14
0 0 27 29 12 9 13
0 1 16 22 6 6 12
0 0 40 41 16 10 16
0 0 36 36 10 9 16
0 1 42 42 15 13 9
0 1 30 33 14 12 14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time20 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 20 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231837&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]20 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231837&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231837&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 time20 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Goodness of Fit
Correlation0.2258
R-squared0.051
RMSE0.4861

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.2258 \tabularnewline
R-squared & 0.051 \tabularnewline
RMSE & 0.4861 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231837&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.2258[/C][/ROW]
[ROW][C]R-squared[/C][C]0.051[/C][/ROW]
[ROW][C]RMSE[/C][C]0.4861[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231837&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231837&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Goodness of Fit
Correlation0.2258
R-squared0.051
RMSE0.4861







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
110.6363636363636360.363636363636364
210.6363636363636360.363636363636364
310.410447761194030.58955223880597
400.41044776119403-0.41044776119403
510.6363636363636360.363636363636364
610.6363636363636360.363636363636364
710.6363636363636360.363636363636364
810.6363636363636360.363636363636364
910.6363636363636360.363636363636364
1010.6363636363636360.363636363636364
1100.636363636363636-0.636363636363636
1210.6363636363636360.363636363636364
1300.41044776119403-0.41044776119403
1410.6363636363636360.363636363636364
1510.6363636363636360.363636363636364
1600.636363636363636-0.636363636363636
1700.636363636363636-0.636363636363636
1810.6363636363636360.363636363636364
1900.636363636363636-0.636363636363636
2010.6363636363636360.363636363636364
2100.636363636363636-0.636363636363636
2210.410447761194030.58955223880597
2310.6363636363636360.363636363636364
2410.410447761194030.58955223880597
2500.636363636363636-0.636363636363636
2610.410447761194030.58955223880597
2700.636363636363636-0.636363636363636
2810.6363636363636360.363636363636364
2910.6363636363636360.363636363636364
3000.41044776119403-0.41044776119403
3110.6363636363636360.363636363636364
3200.41044776119403-0.41044776119403
3310.6363636363636360.363636363636364
3410.6363636363636360.363636363636364
3500.636363636363636-0.636363636363636
3600.636363636363636-0.636363636363636
3700.41044776119403-0.41044776119403
3800.636363636363636-0.636363636363636
3910.6363636363636360.363636363636364
4000.41044776119403-0.41044776119403
4100.636363636363636-0.636363636363636
4210.6363636363636360.363636363636364
4300.636363636363636-0.636363636363636
4400.41044776119403-0.41044776119403
4510.6363636363636360.363636363636364
4610.410447761194030.58955223880597
4710.6363636363636360.363636363636364
4810.6363636363636360.363636363636364
4910.6363636363636360.363636363636364
5000.41044776119403-0.41044776119403
5110.6363636363636360.363636363636364
5200.636363636363636-0.636363636363636
5300.41044776119403-0.41044776119403
5410.410447761194030.58955223880597
5500.41044776119403-0.41044776119403
5610.6363636363636360.363636363636364
5710.6363636363636360.363636363636364
5810.6363636363636360.363636363636364
5900.41044776119403-0.41044776119403
6010.410447761194030.58955223880597
6100.41044776119403-0.41044776119403
6200.41044776119403-0.41044776119403
6310.410447761194030.58955223880597
6410.6363636363636360.363636363636364
6510.6363636363636360.363636363636364
6600.41044776119403-0.41044776119403
6710.410447761194030.58955223880597
6800.41044776119403-0.41044776119403
6910.6363636363636360.363636363636364
7000.636363636363636-0.636363636363636
7100.636363636363636-0.636363636363636
7210.6363636363636360.363636363636364
7310.6363636363636360.363636363636364
7400.636363636363636-0.636363636363636
7500.41044776119403-0.41044776119403
7610.410447761194030.58955223880597
7710.6363636363636360.363636363636364
7810.410447761194030.58955223880597
7900.636363636363636-0.636363636363636
8000.41044776119403-0.41044776119403
8100.636363636363636-0.636363636363636
8210.6363636363636360.363636363636364
8300.636363636363636-0.636363636363636
8410.6363636363636360.363636363636364
8510.6363636363636360.363636363636364
8600.636363636363636-0.636363636363636
8710.6363636363636360.363636363636364
8810.410447761194030.58955223880597
8910.410447761194030.58955223880597
9010.6363636363636360.363636363636364
9110.410447761194030.58955223880597
9210.6363636363636360.363636363636364
9310.6363636363636360.363636363636364
9410.410447761194030.58955223880597
9510.6363636363636360.363636363636364
9610.410447761194030.58955223880597
9710.6363636363636360.363636363636364
9800.636363636363636-0.636363636363636
9900.636363636363636-0.636363636363636
10010.6363636363636360.363636363636364
10100.41044776119403-0.41044776119403
10210.6363636363636360.363636363636364
10300.41044776119403-0.41044776119403
10410.6363636363636360.363636363636364
10500.41044776119403-0.41044776119403
10610.6363636363636360.363636363636364
10700.636363636363636-0.636363636363636
10800.41044776119403-0.41044776119403
10910.410447761194030.58955223880597
11010.6363636363636360.363636363636364
11110.410447761194030.58955223880597
11210.410447761194030.58955223880597
11310.6363636363636360.363636363636364
11400.636363636363636-0.636363636363636
11510.6363636363636360.363636363636364
11610.6363636363636360.363636363636364
11710.6363636363636360.363636363636364
11810.6363636363636360.363636363636364
11900.41044776119403-0.41044776119403
12010.6363636363636360.363636363636364
12110.6363636363636360.363636363636364
12210.6363636363636360.363636363636364
12310.6363636363636360.363636363636364
12410.410447761194030.58955223880597
12500.636363636363636-0.636363636363636
12610.6363636363636360.363636363636364
12710.6363636363636360.363636363636364
12810.6363636363636360.363636363636364
12900.41044776119403-0.41044776119403
13000.41044776119403-0.41044776119403
13110.6363636363636360.363636363636364
13200.636363636363636-0.636363636363636
13300.636363636363636-0.636363636363636
13410.6363636363636360.363636363636364
13500.41044776119403-0.41044776119403
13600.636363636363636-0.636363636363636
13710.410447761194030.58955223880597
13810.6363636363636360.363636363636364
13900.41044776119403-0.41044776119403
14010.6363636363636360.363636363636364
14100.636363636363636-0.636363636363636
14210.6363636363636360.363636363636364
14300.636363636363636-0.636363636363636
14410.6363636363636360.363636363636364
14510.6363636363636360.363636363636364
14600.41044776119403-0.41044776119403
14700.41044776119403-0.41044776119403
14800.41044776119403-0.41044776119403
14910.6363636363636360.363636363636364
15010.410447761194030.58955223880597
15100.636363636363636-0.636363636363636
15210.410447761194030.58955223880597
15310.410447761194030.58955223880597
15410.410447761194030.58955223880597
15510.6363636363636360.363636363636364
15610.6363636363636360.363636363636364
15710.410447761194030.58955223880597
15810.410447761194030.58955223880597
15900.41044776119403-0.41044776119403
16000.636363636363636-0.636363636363636
16100.636363636363636-0.636363636363636
16210.410447761194030.58955223880597
16300.41044776119403-0.41044776119403
16400.636363636363636-0.636363636363636
16510.410447761194030.58955223880597
16610.410447761194030.58955223880597
16700.41044776119403-0.41044776119403
16800.41044776119403-0.41044776119403
16910.6363636363636360.363636363636364
17000.41044776119403-0.41044776119403
17110.410447761194030.58955223880597
17210.6363636363636360.363636363636364
17300.41044776119403-0.41044776119403
17410.410447761194030.58955223880597
17500.41044776119403-0.41044776119403
17610.6363636363636360.363636363636364
17710.410447761194030.58955223880597
17810.6363636363636360.363636363636364
17900.41044776119403-0.41044776119403
18000.636363636363636-0.636363636363636
18100.636363636363636-0.636363636363636
18210.6363636363636360.363636363636364
18310.410447761194030.58955223880597
18400.636363636363636-0.636363636363636
18510.6363636363636360.363636363636364
18600.41044776119403-0.41044776119403
18700.41044776119403-0.41044776119403
18810.410447761194030.58955223880597
18910.6363636363636360.363636363636364
19010.6363636363636360.363636363636364
19110.410447761194030.58955223880597
19210.6363636363636360.363636363636364
19300.41044776119403-0.41044776119403
19410.6363636363636360.363636363636364
19510.6363636363636360.363636363636364
19600.41044776119403-0.41044776119403
19700.41044776119403-0.41044776119403
19800.636363636363636-0.636363636363636
19900.636363636363636-0.636363636363636
20000.41044776119403-0.41044776119403
20110.6363636363636360.363636363636364
20210.6363636363636360.363636363636364
20310.6363636363636360.363636363636364
20400.636363636363636-0.636363636363636
20500.41044776119403-0.41044776119403
20600.636363636363636-0.636363636363636
20710.410447761194030.58955223880597
20800.636363636363636-0.636363636363636
20900.41044776119403-0.41044776119403
21000.41044776119403-0.41044776119403
21110.410447761194030.58955223880597
21200.636363636363636-0.636363636363636
21310.6363636363636360.363636363636364
21410.6363636363636360.363636363636364
21500.41044776119403-0.41044776119403
21610.6363636363636360.363636363636364
21700.41044776119403-0.41044776119403
21800.636363636363636-0.636363636363636
21910.410447761194030.58955223880597
22000.636363636363636-0.636363636363636
22110.6363636363636360.363636363636364
22200.636363636363636-0.636363636363636
22300.41044776119403-0.41044776119403
22400.41044776119403-0.41044776119403
22500.41044776119403-0.41044776119403
22610.6363636363636360.363636363636364
22700.41044776119403-0.41044776119403
22800.636363636363636-0.636363636363636
22910.410447761194030.58955223880597
23010.6363636363636360.363636363636364
23100.41044776119403-0.41044776119403
23200.41044776119403-0.41044776119403
23300.41044776119403-0.41044776119403
23410.410447761194030.58955223880597
23500.41044776119403-0.41044776119403
23600.41044776119403-0.41044776119403
23700.41044776119403-0.41044776119403
23800.41044776119403-0.41044776119403
23900.41044776119403-0.41044776119403
24000.41044776119403-0.41044776119403
24100.41044776119403-0.41044776119403
24210.6363636363636360.363636363636364
24310.410447761194030.58955223880597
24410.410447761194030.58955223880597
24500.636363636363636-0.636363636363636
24600.41044776119403-0.41044776119403
24710.410447761194030.58955223880597
24810.410447761194030.58955223880597
24900.41044776119403-0.41044776119403
25000.41044776119403-0.41044776119403
25100.41044776119403-0.41044776119403
25210.410447761194030.58955223880597
25310.6363636363636360.363636363636364
25410.410447761194030.58955223880597
25510.6363636363636360.363636363636364
25600.636363636363636-0.636363636363636
25700.41044776119403-0.41044776119403
25800.636363636363636-0.636363636363636
25900.41044776119403-0.41044776119403
26010.410447761194030.58955223880597
26100.41044776119403-0.41044776119403
26200.41044776119403-0.41044776119403
26310.410447761194030.58955223880597
26400.41044776119403-0.41044776119403
26500.41044776119403-0.41044776119403
26610.410447761194030.58955223880597
26710.410447761194030.58955223880597
26800.41044776119403-0.41044776119403
26910.410447761194030.58955223880597
27000.41044776119403-0.41044776119403
27100.41044776119403-0.41044776119403
27210.6363636363636360.363636363636364
27300.41044776119403-0.41044776119403
27410.410447761194030.58955223880597
27500.41044776119403-0.41044776119403
27600.636363636363636-0.636363636363636
27700.636363636363636-0.636363636363636
27800.636363636363636-0.636363636363636
27910.6363636363636360.363636363636364
28000.41044776119403-0.41044776119403
28100.636363636363636-0.636363636363636
28210.6363636363636360.363636363636364
28300.41044776119403-0.41044776119403
28410.410447761194030.58955223880597
28500.636363636363636-0.636363636363636
28600.636363636363636-0.636363636363636
28710.410447761194030.58955223880597
28810.6363636363636360.363636363636364

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
2 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
3 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
4 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
5 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
6 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
7 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
8 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
9 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
10 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
11 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
12 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
13 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
14 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
15 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
16 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
17 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
18 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
19 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
20 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
21 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
22 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
23 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
24 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
25 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
26 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
27 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
28 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
29 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
30 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
31 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
32 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
33 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
34 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
35 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
36 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
37 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
38 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
39 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
40 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
41 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
42 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
43 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
44 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
45 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
46 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
47 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
48 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
49 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
50 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
51 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
52 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
53 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
54 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
55 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
56 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
57 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
58 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
59 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
60 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
61 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
62 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
63 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
64 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
65 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
66 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
67 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
68 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
69 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
70 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
71 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
72 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
73 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
74 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
75 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
76 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
77 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
78 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
79 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
80 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
81 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
82 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
83 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
84 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
85 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
86 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
87 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
88 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
89 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
90 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
91 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
92 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
93 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
94 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
95 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
96 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
97 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
98 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
99 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
100 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
101 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
102 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
103 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
104 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
105 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
106 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
107 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
108 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
109 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
110 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
111 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
112 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
113 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
114 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
115 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
116 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
117 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
118 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
119 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
120 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
121 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
122 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
123 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
124 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
125 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
126 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
127 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
128 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
129 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
130 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
131 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
132 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
133 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
134 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
135 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
136 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
137 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
138 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
139 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
140 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
141 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
142 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
143 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
144 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
145 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
146 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
147 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
148 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
149 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
150 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
151 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
152 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
153 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
154 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
155 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
156 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
157 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
158 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
159 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
160 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
161 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
162 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
163 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
164 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
165 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
166 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
167 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
168 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
169 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
170 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
171 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
172 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
173 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
174 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
175 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
176 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
177 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
178 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
179 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
180 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
181 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
182 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
183 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
184 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
185 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
186 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
187 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
188 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
189 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
190 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
191 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
192 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
193 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
194 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
195 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
196 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
197 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
198 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
199 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
200 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
201 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
202 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
203 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
204 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
205 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
206 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
207 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
208 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
209 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
210 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
211 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
212 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
213 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
214 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
215 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
216 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
217 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
218 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
219 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
220 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
221 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
222 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
223 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
224 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
225 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
226 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
227 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
228 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
229 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
230 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
231 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
232 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
233 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
234 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
235 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
236 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
237 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
238 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
239 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
240 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
241 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
242 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
243 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
244 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
245 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
246 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
247 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
248 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
249 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
250 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
251 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
252 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
253 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
254 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
255 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
256 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
257 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
258 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
259 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
260 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
261 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
262 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
263 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
264 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
265 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
266 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
267 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
268 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
269 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
270 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
271 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
272 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
273 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
274 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
275 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
276 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
277 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
278 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
279 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
280 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
281 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
282 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
283 & 0 & 0.41044776119403 & -0.41044776119403 \tabularnewline
284 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
285 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
286 & 0 & 0.636363636363636 & -0.636363636363636 \tabularnewline
287 & 1 & 0.41044776119403 & 0.58955223880597 \tabularnewline
288 & 1 & 0.636363636363636 & 0.363636363636364 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231837&T=2

[TABLE]
[ROW][C]Actuals, Predictions, and Residuals[/C][/ROW]
[ROW][C]#[/C][C]Actuals[/C][C]Forecasts[/C][C]Residuals[/C][/ROW]
[ROW][C]1[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]11[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]21[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]25[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]114[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]119[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]125[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]136[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]146[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]147[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]148[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]180[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]246[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]258[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]272[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]274[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]276[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]279[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]282[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[ROW][C]283[/C][C]0[/C][C]0.41044776119403[/C][C]-0.41044776119403[/C][/ROW]
[ROW][C]284[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]0.636363636363636[/C][C]-0.636363636363636[/C][/ROW]
[ROW][C]287[/C][C]1[/C][C]0.41044776119403[/C][C]0.58955223880597[/C][/ROW]
[ROW][C]288[/C][C]1[/C][C]0.636363636363636[/C][C]0.363636363636364[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231837&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231837&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
110.6363636363636360.363636363636364
210.6363636363636360.363636363636364
310.410447761194030.58955223880597
400.41044776119403-0.41044776119403
510.6363636363636360.363636363636364
610.6363636363636360.363636363636364
710.6363636363636360.363636363636364
810.6363636363636360.363636363636364
910.6363636363636360.363636363636364
1010.6363636363636360.363636363636364
1100.636363636363636-0.636363636363636
1210.6363636363636360.363636363636364
1300.41044776119403-0.41044776119403
1410.6363636363636360.363636363636364
1510.6363636363636360.363636363636364
1600.636363636363636-0.636363636363636
1700.636363636363636-0.636363636363636
1810.6363636363636360.363636363636364
1900.636363636363636-0.636363636363636
2010.6363636363636360.363636363636364
2100.636363636363636-0.636363636363636
2210.410447761194030.58955223880597
2310.6363636363636360.363636363636364
2410.410447761194030.58955223880597
2500.636363636363636-0.636363636363636
2610.410447761194030.58955223880597
2700.636363636363636-0.636363636363636
2810.6363636363636360.363636363636364
2910.6363636363636360.363636363636364
3000.41044776119403-0.41044776119403
3110.6363636363636360.363636363636364
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28710.410447761194030.58955223880597
28810.6363636363636360.363636363636364



Parameters (Session):
par1 = 2 ; par2 = none ; par3 = 3 ; par4 = no ;
Parameters (R input):
par1 = 2 ; par2 = none ; par3 = 3 ; par4 = no ;
R code (references can be found in the software module):
library(party)
library(Hmisc)
par1 <- as.numeric(par1)
par3 <- as.numeric(par3)
x <- data.frame(t(y))
is.data.frame(x)
x <- x[!is.na(x[,par1]),]
k <- length(x[1,])
n <- length(x[,1])
colnames(x)[par1]
x[,par1]
if (par2 == 'kmeans') {
cl <- kmeans(x[,par1], par3)
print(cl)
clm <- matrix(cbind(cl$centers,1:par3),ncol=2)
clm <- clm[sort.list(clm[,1]),]
for (i in 1:par3) {
cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='')
}
cl$cluster <- as.factor(cl$cluster)
print(cl$cluster)
x[,par1] <- cl$cluster
}
if (par2 == 'quantiles') {
x[,par1] <- cut2(x[,par1],g=par3)
}
if (par2 == 'hclust') {
hc <- hclust(dist(x[,par1])^2, 'cen')
print(hc)
memb <- cutree(hc, k = par3)
dum <- c(mean(x[memb==1,par1]))
for (i in 2:par3) {
dum <- c(dum, mean(x[memb==i,par1]))
}
hcm <- matrix(cbind(dum,1:par3),ncol=2)
hcm <- hcm[sort.list(hcm[,1]),]
for (i in 1:par3) {
memb[memb==hcm[i,2]] <- paste('C',i,sep='')
}
memb <- as.factor(memb)
print(memb)
x[,par1] <- memb
}
if (par2=='equal') {
ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep=''))
x[,par1] <- as.factor(ed)
}
table(x[,par1])
colnames(x)
colnames(x)[par1]
x[,par1]
if (par2 == 'none') {
m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x)
}
load(file='createtable')
if (par2 != 'none') {
m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x)
if (par4=='yes') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
a<-table.element(a,'Prediction (training)',par3+1,TRUE)
a<-table.element(a,'Prediction (testing)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Actual',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
a<-table.row.end(a)
for (i in 1:10) {
ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1))
m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,])
if (i==1) {
m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,])
m.ct.i.actu <- x[ind==1,par1]
m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,])
m.ct.x.actu <- x[ind==2,par1]
} else {
m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,]))
m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1])
m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,]))
m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1])
}
}
print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,]))
numer <- numer + m.ct.i.tab[i,i]
}
print(m.ct.i.cp <- numer / sum(m.ct.i.tab))
print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,]))
numer <- numer + m.ct.x.tab[i,i]
}
print(m.ct.x.cp <- numer / sum(m.ct.x.tab))
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj])
a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4))
for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj])
a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4))
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'Overall',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.i.cp,4))
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.x.cp,4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
}
}
m
bitmap(file='test1.png')
plot(m)
dev.off()
bitmap(file='test1a.png')
plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response')
dev.off()
if (par2 == 'none') {
forec <- predict(m)
result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec))
colnames(result) <- c('Actuals','Forecasts','Residuals')
print(result)
}
if (par2 != 'none') {
print(cbind(as.factor(x[,par1]),predict(m)))
myt <- table(as.factor(x[,par1]),predict(m))
print(myt)
}
bitmap(file='test2.png')
if(par2=='none') {
op <- par(mfrow=c(2,2))
plot(density(result$Actuals),main='Kernel Density Plot of Actuals')
plot(density(result$Residuals),main='Kernel Density Plot of Residuals')
plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals')
plot(density(result$Forecasts),main='Kernel Density Plot of Predictions')
par(op)
}
if(par2!='none') {
plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted')
}
dev.off()
if (par2 == 'none') {
detcoef <- cor(result$Forecasts,result$Actuals)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goodness of Fit',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.element(a,round(detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'R-squared',1,TRUE)
a<-table.element(a,round(detcoef*detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'RMSE',1,TRUE)
a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'#',header=TRUE)
a<-table.element(a,'Actuals',header=TRUE)
a<-table.element(a,'Forecasts',header=TRUE)
a<-table.element(a,'Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(result$Actuals)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,result$Actuals[i])
a<-table.element(a,result$Forecasts[i])
a<-table.element(a,result$Residuals[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
}
if (par2 != 'none') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
for (i in 1:par3) {
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (j in 1:par3) {
a<-table.element(a,myt[i,j])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}