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 computationFri, 07 Dec 2012 09:42:39 -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/2012/Dec/07/t1354891381athr9u0zghvllf3.htm/, Retrieved Fri, 29 Mar 2024 12:03:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197407, Retrieved Fri, 29 Mar 2024 12:03:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD  [Recursive Partitioning (Regression Trees)] [Recusive Partitio...] [2012-12-07 14:29:32] [2bd452e91ac81344e4a11ef6d5439293]
-   P       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2012-12-07 14:42:39] [e3d79eec5d0d9e3c05706137ffeca8bc] [Current]
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Dataseries X:
210907	1	1	24188	145
120982	1	1	18273	101
176508	1	1	14130	98
179321	1	0	32287	132
123185	1	1	8654	60
52746	1	1	9245	38
385534	1	1	33251	144
33170	1	1	1271	5
101645	1	1	5279	28
149061	1	1	27101	84
165446	1	0	16373	79
237213	1	1	19716	127
173326	1	0	17753	78
133131	1	1	9028	60
258873	1	1	18653	131
180083	1	0	8828	84
324799	1	0	29498	133
230964	1	1	27563	150
236785	1	0	18293	91
135473	1	1	22530	132
202925	1	0	15977	136
215147	1	1	35082	124
344297	1	1	16116	118
153935	1	1	15849	70
132943	1	0	16026	107
174724	1	1	26569	119
174415	1	0	24785	89
225548	1	1	17569	112
223632	1	1	23825	108
124817	1	0	7869	52
221698	1	1	14975	112
210767	1	0	37791	116
170266	1	1	9605	123
260561	1	1	27295	125
84853	1	0	2746	27
294424	1	0	34461	162
101011	1	0	8098	32
215641	1	0	4787	64
325107	1	1	24919	92
7176	1	0	603	0
167542	1	0	16329	83
106408	1	1	12558	41
96560	1	0	7784	47
265769	1	0	28522	120
269651	1	1	22265	105
149112	1	1	14459	79
175824	1	1	14526	65
152871	1	1	22240	70
111665	1	1	11802	55
116408	1	0	7623	39
362301	1	1	11912	67
78800	1	0	7935	21
183167	1	0	18220	127
277965	1	1	19199	152
150629	1	0	19918	113
168809	1	1	21884	99
24188	1	1	2694	7
329267	1	1	15808	141
65029	1	0	3597	21
101097	1	1	5296	35
218946	1	0	25239	109
244052	1	0	29801	133
341570	1	1	18450	123
103597	1	1	7132	26
233328	1	1	34861	230
256462	1	0	35940	166
206161	1	1	16688	68
311473	1	0	24683	147
235800	1	1	46230	179
177939	1	0	10387	61
207176	1	0	21436	101
196553	1	1	30546	108
174184	1	1	19746	90
143246	1	0	15977	114
187559	1	0	22583	103
187681	1	1	17274	142
119016	1	1	16469	79
182192	1	1	14251	88
73566	1	0	3007	25
194979	1	0	16851	83
167488	1	0	21113	113
143756	1	1	17401	118
275541	1	0	23958	110
243199	1	1	23567	129
182999	1	1	13065	51
135649	1	0	15358	93
152299	1	1	14587	76
120221	1	1	12770	49
346485	1	1	24021	118
145790	1	1	9648	38
193339	1	1	20537	141
80953	1	1	7905	58
122774	1	1	4527	27
130585	1	1	30495	91
112611	1	1	7117	48
286468	1	1	17719	63
241066	1	1	27056	56
148446	1	0	33473	144
204713	1	0	9758	73
182079	1	1	21115	168
140344	1	0	7236	64
220516	1	1	13790	97
243060	1	0	32902	117
162765	1	1	25131	100
182613	1	0	30910	149
232138	1	1	35947	187
265318	1	0	29848	127
85574	1	0	6943	37
310839	1	1	42705	245
225060	1	1	31808	87
232317	1	1	26675	177
144966	1	1	8435	49
43287	1	1	7409	49
155754	1	0	14993	73
164709	1	1	36867	177
201940	1	1	33835	94
235454	1	1	24164	117
220801	1	1	12607	60
99466	1	0	22609	55
92661	1	1	5892	39
133328	1	1	17014	64
61361	1	1	5394	26
125930	1	1	9178	64
100750	1	1	6440	58
224549	1	0	21916	95
82316	1	1	4011	25
102010	1	1	5818	26
101523	1	1	18647	76
243511	1	0	20556	129
22938	1	0	238	11
41566	1	1	70	2
152474	1	0	22392	101
61857	1	0	3913	28
99923	1	1	12237	36
132487	1	0	8388	89
317394	1	0	22120	193
21054	1	1	338	4
209641	1	1	11727	84
22648	1	0	3704	23
31414	1	1	3988	39
46698	1	0	3030	14
131698	1	1	13520	78
91735	1	0	1421	14
244749	1	1	20923	101
184510	1	1	20237	82
79863	1	0	3219	24
128423	1	0	3769	36
97839	1	0	12252	75
38214	1	1	1888	16
151101	1	1	14497	55
272458	1	0	28864	131
172494	1	1	21721	131
108043	1	1	4821	39
328107	1	1	33644	144
250579	1	1	15923	139
351067	1	1	42935	211
158015	1	1	18864	78
98866	1	1	4977	50
85439	0	0	7785	39
229242	0	0	17939	90
351619	0	0	23436	166
84207	0	1	325	12
120445	0	0	13539	57
324598	0	0	34538	133
131069	0	1	12198	69
204271	0	1	26924	119
165543	0	0	12716	119
141722	0	0	8172	65
116048	0	1	10855	61
250047	0	0	11932	49
299775	0	1	14300	101
195838	0	1	25515	196
173260	0	0	2805	15
254488	0	1	29402	136
104389	0	0	16440	89
136084	0	1	11221	40
199476	0	1	28732	123
92499	0	1	5250	21
224330	0	0	28608	163
135781	0	0	8092	29
74408	0	0	4473	35
81240	0	1	1572	13
14688	0	1	2065	5
181633	0	0	14817	96
271856	0	1	16714	151
7199	0	0	556	6
46660	0	0	2089	13
17547	0	1	2658	3
133368	0	1	10695	56
95227	0	1	1669	23
152601	0	1	16267	57
98146	0	1	7768	14
79619	0	0	7252	43
59194	0	1	6387	20
139942	0	1	18715	72
118612	0	0	7936	87
72880	0	0	8643	21
65475	0	0	7294	56
99643	0	0	4570	59
71965	0	0	7185	82
77272	0	1	10058	43
49289	0	1	2342	25
135131	0	1	8509	38
108446	0	0	13275	25
89746	0	0	6816	38
44296	0	0	1930	12
77648	0	1	8086	29
181528	0	0	10737	47
134019	0	0	8033	45
124064	0	0	7058	40
92630	0	1	6782	30
121848	0	0	5401	41
52915	0	1	6521	25
81872	0	1	10856	23
58981	0	0	2154	14
53515	0	1	6117	16
60812	0	0	5238	26
56375	0	0	4820	21
65490	0	1	5615	27
80949	0	0	4272	9
76302	0	1	8702	33
104011	0	0	15340	42
98104	0	0	8030	68
67989	0	0	9526	32
30989	0	0	1278	6
135458	0	1	4236	67
73504	0	0	3023	33
63123	0	0	7196	77
61254	0	1	3394	46
74914	0	1	6371	30
31774	0	0	1574	0
81437	0	0	9620	36
87186	0	0	6978	46
50090	0	1	4911	18
65745	0	0	8645	48
56653	0	0	8987	29
158399	0	0	5544	28
46455	0	0	3083	34
73624	0	0	6909	33
38395	0	0	3189	34
91899	0	0	6745	33
139526	0	1	16724	80
52164	0	1	4850	32
51567	0	1	7025	30
70551	0	0	6047	41
84856	0	0	7377	41
102538	0	1	9078	51
86678	0	1	4605	18
85709	0	0	3238	34
34662	0	0	8100	31
150580	0	0	9653	39
99611	0	1	8914	54
19349	0	1	786	14
99373	0	1	6700	24
86230	0	1	5788	24
30837	0	0	593	8
31706	0	0	4506	26
89806	0	0	6382	19
62088	0	0	5621	11
40151	0	1	3997	14
27634	0	0	520	1
76990	0	0	8891	39
37460	0	1	999	5
54157	0	0	7067	37
49862	0	0	4639	32
84337	0	1	5654	38
64175	0	1	6928	47
59382	0	0	1514	47
119308	0	1	9238	37
76702	0	0	8204	51
103425	0	0	5926	45
70344	0	1	5785	21
43410	0	0	4	1
104838	0	1	5930	42
62215	0	0	3710	26
69304	0	0	705	21
53117	0	0	443	4
19764	0	0	2416	10
86680	0	1	7747	43
84105	0	0	5432	34
77945	0	0	4913	31
89113	0	1	2650	19
91005	0	0	2370	34
40248	0	1	775	6
64187	0	0	5576	11
50857	0	0	1352	24
56613	0	1	3080	16
62792	0	1	10205	72




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197407&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]7 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=197407&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197407&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 time7 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Goodness of Fit
Correlation0.1966
R-squared0.0387
RMSE0.4893

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.1966 \tabularnewline
R-squared & 0.0387 \tabularnewline
RMSE & 0.4893 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197407&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.1966[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0387[/C][/ROW]
[ROW][C]RMSE[/C][C]0.4893[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197407&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197407&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
Correlation0.1966
R-squared0.0387
RMSE0.4893







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
110.6202531645569620.379746835443038
210.6202531645569620.379746835443038
310.6202531645569620.379746835443038
400.620253164556962-0.620253164556962
510.6202531645569620.379746835443038
610.6202531645569620.379746835443038
710.6202531645569620.379746835443038
810.6202531645569620.379746835443038
910.6202531645569620.379746835443038
1010.6202531645569620.379746835443038
1100.620253164556962-0.620253164556962
1210.6202531645569620.379746835443038
1300.620253164556962-0.620253164556962
1410.6202531645569620.379746835443038
1510.6202531645569620.379746835443038
1600.620253164556962-0.620253164556962
1700.620253164556962-0.620253164556962
1810.6202531645569620.379746835443038
1900.620253164556962-0.620253164556962
2010.6202531645569620.379746835443038
2100.620253164556962-0.620253164556962
2210.6202531645569620.379746835443038
2310.6202531645569620.379746835443038
2410.6202531645569620.379746835443038
2500.620253164556962-0.620253164556962
2610.6202531645569620.379746835443038
2700.620253164556962-0.620253164556962
2810.6202531645569620.379746835443038
2910.6202531645569620.379746835443038
3000.620253164556962-0.620253164556962
3110.6202531645569620.379746835443038
3200.620253164556962-0.620253164556962
3310.6202531645569620.379746835443038
3410.6202531645569620.379746835443038
3500.620253164556962-0.620253164556962
3600.620253164556962-0.620253164556962
3700.620253164556962-0.620253164556962
3800.620253164556962-0.620253164556962
3910.6202531645569620.379746835443038
4000.620253164556962-0.620253164556962
4100.620253164556962-0.620253164556962
4210.6202531645569620.379746835443038
4300.620253164556962-0.620253164556962
4400.620253164556962-0.620253164556962
4510.6202531645569620.379746835443038
4610.6202531645569620.379746835443038
4710.6202531645569620.379746835443038
4810.6202531645569620.379746835443038
4910.6202531645569620.379746835443038
5000.620253164556962-0.620253164556962
5110.6202531645569620.379746835443038
5200.620253164556962-0.620253164556962
5300.620253164556962-0.620253164556962
5410.6202531645569620.379746835443038
5500.620253164556962-0.620253164556962
5610.6202531645569620.379746835443038
5710.6202531645569620.379746835443038
5810.6202531645569620.379746835443038
5900.620253164556962-0.620253164556962
6010.6202531645569620.379746835443038
6100.620253164556962-0.620253164556962
6200.620253164556962-0.620253164556962
6310.6202531645569620.379746835443038
6410.6202531645569620.379746835443038
6510.6202531645569620.379746835443038
6600.620253164556962-0.620253164556962
6710.6202531645569620.379746835443038
6800.620253164556962-0.620253164556962
6910.6202531645569620.379746835443038
7000.620253164556962-0.620253164556962
7100.620253164556962-0.620253164556962
7210.6202531645569620.379746835443038
7310.6202531645569620.379746835443038
7400.620253164556962-0.620253164556962
7500.620253164556962-0.620253164556962
7610.6202531645569620.379746835443038
7710.6202531645569620.379746835443038
7810.6202531645569620.379746835443038
7900.620253164556962-0.620253164556962
8000.620253164556962-0.620253164556962
8100.620253164556962-0.620253164556962
8210.6202531645569620.379746835443038
8300.620253164556962-0.620253164556962
8410.6202531645569620.379746835443038
8510.6202531645569620.379746835443038
8600.620253164556962-0.620253164556962
8710.6202531645569620.379746835443038
8810.6202531645569620.379746835443038
8910.6202531645569620.379746835443038
9010.6202531645569620.379746835443038
9110.6202531645569620.379746835443038
9210.6202531645569620.379746835443038
9310.6202531645569620.379746835443038
9410.6202531645569620.379746835443038
9510.6202531645569620.379746835443038
9610.6202531645569620.379746835443038
9710.6202531645569620.379746835443038
9800.620253164556962-0.620253164556962
9900.620253164556962-0.620253164556962
10010.6202531645569620.379746835443038
10100.620253164556962-0.620253164556962
10210.6202531645569620.379746835443038
10300.620253164556962-0.620253164556962
10410.6202531645569620.379746835443038
10500.620253164556962-0.620253164556962
10610.6202531645569620.379746835443038
10700.620253164556962-0.620253164556962
10800.620253164556962-0.620253164556962
10910.6202531645569620.379746835443038
11010.6202531645569620.379746835443038
11110.6202531645569620.379746835443038
11210.6202531645569620.379746835443038
11310.6202531645569620.379746835443038
11400.620253164556962-0.620253164556962
11510.6202531645569620.379746835443038
11610.6202531645569620.379746835443038
11710.6202531645569620.379746835443038
11810.6202531645569620.379746835443038
11900.620253164556962-0.620253164556962
12010.6202531645569620.379746835443038
12110.6202531645569620.379746835443038
12210.6202531645569620.379746835443038
12310.6202531645569620.379746835443038
12410.6202531645569620.379746835443038
12500.620253164556962-0.620253164556962
12610.6202531645569620.379746835443038
12710.6202531645569620.379746835443038
12810.6202531645569620.379746835443038
12900.620253164556962-0.620253164556962
13000.620253164556962-0.620253164556962
13110.6202531645569620.379746835443038
13200.620253164556962-0.620253164556962
13300.620253164556962-0.620253164556962
13410.6202531645569620.379746835443038
13500.620253164556962-0.620253164556962
13600.620253164556962-0.620253164556962
13710.6202531645569620.379746835443038
13810.6202531645569620.379746835443038
13900.620253164556962-0.620253164556962
14010.6202531645569620.379746835443038
14100.620253164556962-0.620253164556962
14210.6202531645569620.379746835443038
14300.620253164556962-0.620253164556962
14410.6202531645569620.379746835443038
14510.6202531645569620.379746835443038
14600.620253164556962-0.620253164556962
14700.620253164556962-0.620253164556962
14800.620253164556962-0.620253164556962
14910.6202531645569620.379746835443038
15010.6202531645569620.379746835443038
15100.620253164556962-0.620253164556962
15210.6202531645569620.379746835443038
15310.6202531645569620.379746835443038
15410.6202531645569620.379746835443038
15510.6202531645569620.379746835443038
15610.6202531645569620.379746835443038
15710.6202531645569620.379746835443038
15810.6202531645569620.379746835443038
15900.423076923076923-0.423076923076923
16000.423076923076923-0.423076923076923
16100.423076923076923-0.423076923076923
16210.4230769230769230.576923076923077
16300.423076923076923-0.423076923076923
16400.423076923076923-0.423076923076923
16510.4230769230769230.576923076923077
16610.4230769230769230.576923076923077
16700.423076923076923-0.423076923076923
16800.423076923076923-0.423076923076923
16910.4230769230769230.576923076923077
17000.423076923076923-0.423076923076923
17110.4230769230769230.576923076923077
17210.4230769230769230.576923076923077
17300.423076923076923-0.423076923076923
17410.4230769230769230.576923076923077
17500.423076923076923-0.423076923076923
17610.4230769230769230.576923076923077
17710.4230769230769230.576923076923077
17810.4230769230769230.576923076923077
17900.423076923076923-0.423076923076923
18000.423076923076923-0.423076923076923
18100.423076923076923-0.423076923076923
18210.4230769230769230.576923076923077
18310.4230769230769230.576923076923077
18400.423076923076923-0.423076923076923
18510.4230769230769230.576923076923077
18600.423076923076923-0.423076923076923
18700.423076923076923-0.423076923076923
18810.4230769230769230.576923076923077
18910.4230769230769230.576923076923077
19010.4230769230769230.576923076923077
19110.4230769230769230.576923076923077
19210.4230769230769230.576923076923077
19300.423076923076923-0.423076923076923
19410.4230769230769230.576923076923077
19510.4230769230769230.576923076923077
19600.423076923076923-0.423076923076923
19700.423076923076923-0.423076923076923
19800.423076923076923-0.423076923076923
19900.423076923076923-0.423076923076923
20000.423076923076923-0.423076923076923
20110.4230769230769230.576923076923077
20210.4230769230769230.576923076923077
20310.4230769230769230.576923076923077
20400.423076923076923-0.423076923076923
20500.423076923076923-0.423076923076923
20600.423076923076923-0.423076923076923
20710.4230769230769230.576923076923077
20800.423076923076923-0.423076923076923
20900.423076923076923-0.423076923076923
21000.423076923076923-0.423076923076923
21110.4230769230769230.576923076923077
21200.423076923076923-0.423076923076923
21310.4230769230769230.576923076923077
21410.4230769230769230.576923076923077
21500.423076923076923-0.423076923076923
21610.4230769230769230.576923076923077
21700.423076923076923-0.423076923076923
21800.423076923076923-0.423076923076923
21910.4230769230769230.576923076923077
22000.423076923076923-0.423076923076923
22110.4230769230769230.576923076923077
22200.423076923076923-0.423076923076923
22300.423076923076923-0.423076923076923
22400.423076923076923-0.423076923076923
22500.423076923076923-0.423076923076923
22610.4230769230769230.576923076923077
22700.423076923076923-0.423076923076923
22800.423076923076923-0.423076923076923
22910.4230769230769230.576923076923077
23010.4230769230769230.576923076923077
23100.423076923076923-0.423076923076923
23200.423076923076923-0.423076923076923
23300.423076923076923-0.423076923076923
23410.4230769230769230.576923076923077
23500.423076923076923-0.423076923076923
23600.423076923076923-0.423076923076923
23700.423076923076923-0.423076923076923
23800.423076923076923-0.423076923076923
23900.423076923076923-0.423076923076923
24000.423076923076923-0.423076923076923
24100.423076923076923-0.423076923076923
24210.4230769230769230.576923076923077
24310.4230769230769230.576923076923077
24410.4230769230769230.576923076923077
24500.423076923076923-0.423076923076923
24600.423076923076923-0.423076923076923
24710.4230769230769230.576923076923077
24810.4230769230769230.576923076923077
24900.423076923076923-0.423076923076923
25000.423076923076923-0.423076923076923
25100.423076923076923-0.423076923076923
25210.4230769230769230.576923076923077
25310.4230769230769230.576923076923077
25410.4230769230769230.576923076923077
25510.4230769230769230.576923076923077
25600.423076923076923-0.423076923076923
25700.423076923076923-0.423076923076923
25800.423076923076923-0.423076923076923
25900.423076923076923-0.423076923076923
26010.4230769230769230.576923076923077
26100.423076923076923-0.423076923076923
26200.423076923076923-0.423076923076923
26310.4230769230769230.576923076923077
26400.423076923076923-0.423076923076923
26500.423076923076923-0.423076923076923
26610.4230769230769230.576923076923077
26710.4230769230769230.576923076923077
26800.423076923076923-0.423076923076923
26910.4230769230769230.576923076923077
27000.423076923076923-0.423076923076923
27100.423076923076923-0.423076923076923
27210.4230769230769230.576923076923077
27300.423076923076923-0.423076923076923
27410.4230769230769230.576923076923077
27500.423076923076923-0.423076923076923
27600.423076923076923-0.423076923076923
27700.423076923076923-0.423076923076923
27800.423076923076923-0.423076923076923
27910.4230769230769230.576923076923077
28000.423076923076923-0.423076923076923
28100.423076923076923-0.423076923076923
28210.4230769230769230.576923076923077
28300.423076923076923-0.423076923076923
28410.4230769230769230.576923076923077
28500.423076923076923-0.423076923076923
28600.423076923076923-0.423076923076923
28710.4230769230769230.576923076923077
28810.4230769230769230.576923076923077

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
2 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
3 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
4 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
5 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
6 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
7 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
8 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
9 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
10 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
11 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
12 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
13 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
14 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
15 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
16 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
17 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
18 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
19 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
20 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
21 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
22 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
23 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
24 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
25 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
26 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
27 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
28 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
29 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
30 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
31 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
32 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
33 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
34 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
35 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
36 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
37 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
38 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
39 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
40 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
41 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
42 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
43 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
44 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
45 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
46 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
47 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
48 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
49 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
50 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
51 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
52 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
53 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
54 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
55 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
56 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
57 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
58 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
59 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
60 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
61 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
62 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
63 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
64 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
65 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
66 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
67 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
68 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
69 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
70 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
71 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
72 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
73 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
74 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
75 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
76 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
77 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
78 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
79 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
80 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
81 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
82 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
83 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
84 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
85 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
86 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
87 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
88 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
89 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
90 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
91 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
92 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
93 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
94 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
95 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
96 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
97 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
98 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
99 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
100 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
101 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
102 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
103 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
104 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
105 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
106 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
107 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
108 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
109 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
110 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
111 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
112 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
113 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
114 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
115 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
116 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
117 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
118 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
119 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
120 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
121 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
122 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
123 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
124 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
125 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
126 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
127 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
128 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
129 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
130 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
131 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
132 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
133 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
134 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
135 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
136 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
137 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
138 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
139 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
140 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
141 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
142 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
143 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
144 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
145 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
146 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
147 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
148 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
149 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
150 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
151 & 0 & 0.620253164556962 & -0.620253164556962 \tabularnewline
152 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
153 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
154 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
155 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
156 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
157 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
158 & 1 & 0.620253164556962 & 0.379746835443038 \tabularnewline
159 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
160 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
161 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
162 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
163 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
164 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
165 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
166 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
167 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
168 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
169 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
170 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
171 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
172 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
173 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
174 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
175 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
176 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
177 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
178 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
179 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
180 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
181 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
182 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
183 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
184 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
185 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
186 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
187 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
188 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
189 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
190 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
191 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
192 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
193 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
194 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
195 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
196 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
197 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
198 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
199 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
200 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
201 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
202 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
203 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
204 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
205 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
206 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
207 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
208 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
209 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
210 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
211 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
212 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
213 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
214 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
215 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
216 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
217 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
218 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
219 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
220 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
221 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
222 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
223 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
224 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
225 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
226 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
227 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
228 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
229 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
230 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
231 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
232 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
233 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
234 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
235 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
236 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
237 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
238 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
239 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
240 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
241 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
242 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
243 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
244 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
245 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
246 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
247 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
248 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
249 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
250 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
251 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
252 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
253 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
254 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
255 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
256 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
257 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
258 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
259 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
260 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
261 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
262 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
263 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
264 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
265 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
266 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
267 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
268 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
269 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
270 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
271 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
272 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
273 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
274 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
275 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
276 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
277 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
278 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
279 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
280 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
281 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
282 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
283 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
284 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
285 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
286 & 0 & 0.423076923076923 & -0.423076923076923 \tabularnewline
287 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
288 & 1 & 0.423076923076923 & 0.576923076923077 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197407&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]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]11[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]21[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]25[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]114[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]119[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]125[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]136[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]146[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]147[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]148[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]0.620253164556962[/C][C]-0.620253164556962[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.620253164556962[/C][C]0.379746835443038[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]180[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]246[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]258[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]272[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]274[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]276[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]279[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]282[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]283[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]284[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]0.423076923076923[/C][C]-0.423076923076923[/C][/ROW]
[ROW][C]287[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[ROW][C]288[/C][C]1[/C][C]0.423076923076923[/C][C]0.576923076923077[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197407&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197407&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
110.6202531645569620.379746835443038
210.6202531645569620.379746835443038
310.6202531645569620.379746835443038
400.620253164556962-0.620253164556962
510.6202531645569620.379746835443038
610.6202531645569620.379746835443038
710.6202531645569620.379746835443038
810.6202531645569620.379746835443038
910.6202531645569620.379746835443038
1010.6202531645569620.379746835443038
1100.620253164556962-0.620253164556962
1210.6202531645569620.379746835443038
1300.620253164556962-0.620253164556962
1410.6202531645569620.379746835443038
1510.6202531645569620.379746835443038
1600.620253164556962-0.620253164556962
1700.620253164556962-0.620253164556962
1810.6202531645569620.379746835443038
1900.620253164556962-0.620253164556962
2010.6202531645569620.379746835443038
2100.620253164556962-0.620253164556962
2210.6202531645569620.379746835443038
2310.6202531645569620.379746835443038
2410.6202531645569620.379746835443038
2500.620253164556962-0.620253164556962
2610.6202531645569620.379746835443038
2700.620253164556962-0.620253164556962
2810.6202531645569620.379746835443038
2910.6202531645569620.379746835443038
3000.620253164556962-0.620253164556962
3110.6202531645569620.379746835443038
3200.620253164556962-0.620253164556962
3310.6202531645569620.379746835443038
3410.6202531645569620.379746835443038
3500.620253164556962-0.620253164556962
3600.620253164556962-0.620253164556962
3700.620253164556962-0.620253164556962
3800.620253164556962-0.620253164556962
3910.6202531645569620.379746835443038
4000.620253164556962-0.620253164556962
4100.620253164556962-0.620253164556962
4210.6202531645569620.379746835443038
4300.620253164556962-0.620253164556962
4400.620253164556962-0.620253164556962
4510.6202531645569620.379746835443038
4610.6202531645569620.379746835443038
4710.6202531645569620.379746835443038
4810.6202531645569620.379746835443038
4910.6202531645569620.379746835443038
5000.620253164556962-0.620253164556962
5110.6202531645569620.379746835443038
5200.620253164556962-0.620253164556962
5300.620253164556962-0.620253164556962
5410.6202531645569620.379746835443038
5500.620253164556962-0.620253164556962
5610.6202531645569620.379746835443038
5710.6202531645569620.379746835443038
5810.6202531645569620.379746835443038
5900.620253164556962-0.620253164556962
6010.6202531645569620.379746835443038
6100.620253164556962-0.620253164556962
6200.620253164556962-0.620253164556962
6310.6202531645569620.379746835443038
6410.6202531645569620.379746835443038
6510.6202531645569620.379746835443038
6600.620253164556962-0.620253164556962
6710.6202531645569620.379746835443038
6800.620253164556962-0.620253164556962
6910.6202531645569620.379746835443038
7000.620253164556962-0.620253164556962
7100.620253164556962-0.620253164556962
7210.6202531645569620.379746835443038
7310.6202531645569620.379746835443038
7400.620253164556962-0.620253164556962
7500.620253164556962-0.620253164556962
7610.6202531645569620.379746835443038
7710.6202531645569620.379746835443038
7810.6202531645569620.379746835443038
7900.620253164556962-0.620253164556962
8000.620253164556962-0.620253164556962
8100.620253164556962-0.620253164556962
8210.6202531645569620.379746835443038
8300.620253164556962-0.620253164556962
8410.6202531645569620.379746835443038
8510.6202531645569620.379746835443038
8600.620253164556962-0.620253164556962
8710.6202531645569620.379746835443038
8810.6202531645569620.379746835443038
8910.6202531645569620.379746835443038
9010.6202531645569620.379746835443038
9110.6202531645569620.379746835443038
9210.6202531645569620.379746835443038
9310.6202531645569620.379746835443038
9410.6202531645569620.379746835443038
9510.6202531645569620.379746835443038
9610.6202531645569620.379746835443038
9710.6202531645569620.379746835443038
9800.620253164556962-0.620253164556962
9900.620253164556962-0.620253164556962
10010.6202531645569620.379746835443038
10100.620253164556962-0.620253164556962
10210.6202531645569620.379746835443038
10300.620253164556962-0.620253164556962
10410.6202531645569620.379746835443038
10500.620253164556962-0.620253164556962
10610.6202531645569620.379746835443038
10700.620253164556962-0.620253164556962
10800.620253164556962-0.620253164556962
10910.6202531645569620.379746835443038
11010.6202531645569620.379746835443038
11110.6202531645569620.379746835443038
11210.6202531645569620.379746835443038
11310.6202531645569620.379746835443038
11400.620253164556962-0.620253164556962
11510.6202531645569620.379746835443038
11610.6202531645569620.379746835443038
11710.6202531645569620.379746835443038
11810.6202531645569620.379746835443038
11900.620253164556962-0.620253164556962
12010.6202531645569620.379746835443038
12110.6202531645569620.379746835443038
12210.6202531645569620.379746835443038
12310.6202531645569620.379746835443038
12410.6202531645569620.379746835443038
12500.620253164556962-0.620253164556962
12610.6202531645569620.379746835443038
12710.6202531645569620.379746835443038
12810.6202531645569620.379746835443038
12900.620253164556962-0.620253164556962
13000.620253164556962-0.620253164556962
13110.6202531645569620.379746835443038
13200.620253164556962-0.620253164556962
13300.620253164556962-0.620253164556962
13410.6202531645569620.379746835443038
13500.620253164556962-0.620253164556962
13600.620253164556962-0.620253164556962
13710.6202531645569620.379746835443038
13810.6202531645569620.379746835443038
13900.620253164556962-0.620253164556962
14010.6202531645569620.379746835443038
14100.620253164556962-0.620253164556962
14210.6202531645569620.379746835443038
14300.620253164556962-0.620253164556962
14410.6202531645569620.379746835443038
14510.6202531645569620.379746835443038
14600.620253164556962-0.620253164556962
14700.620253164556962-0.620253164556962
14800.620253164556962-0.620253164556962
14910.6202531645569620.379746835443038
15010.6202531645569620.379746835443038
15100.620253164556962-0.620253164556962
15210.6202531645569620.379746835443038
15310.6202531645569620.379746835443038
15410.6202531645569620.379746835443038
15510.6202531645569620.379746835443038
15610.6202531645569620.379746835443038
15710.6202531645569620.379746835443038
15810.6202531645569620.379746835443038
15900.423076923076923-0.423076923076923
16000.423076923076923-0.423076923076923
16100.423076923076923-0.423076923076923
16210.4230769230769230.576923076923077
16300.423076923076923-0.423076923076923
16400.423076923076923-0.423076923076923
16510.4230769230769230.576923076923077
16610.4230769230769230.576923076923077
16700.423076923076923-0.423076923076923
16800.423076923076923-0.423076923076923
16910.4230769230769230.576923076923077
17000.423076923076923-0.423076923076923
17110.4230769230769230.576923076923077
17210.4230769230769230.576923076923077
17300.423076923076923-0.423076923076923
17410.4230769230769230.576923076923077
17500.423076923076923-0.423076923076923
17610.4230769230769230.576923076923077
17710.4230769230769230.576923076923077
17810.4230769230769230.576923076923077
17900.423076923076923-0.423076923076923
18000.423076923076923-0.423076923076923
18100.423076923076923-0.423076923076923
18210.4230769230769230.576923076923077
18310.4230769230769230.576923076923077
18400.423076923076923-0.423076923076923
18510.4230769230769230.576923076923077
18600.423076923076923-0.423076923076923
18700.423076923076923-0.423076923076923
18810.4230769230769230.576923076923077
18910.4230769230769230.576923076923077
19010.4230769230769230.576923076923077
19110.4230769230769230.576923076923077
19210.4230769230769230.576923076923077
19300.423076923076923-0.423076923076923
19410.4230769230769230.576923076923077
19510.4230769230769230.576923076923077
19600.423076923076923-0.423076923076923
19700.423076923076923-0.423076923076923
19800.423076923076923-0.423076923076923
19900.423076923076923-0.423076923076923
20000.423076923076923-0.423076923076923
20110.4230769230769230.576923076923077
20210.4230769230769230.576923076923077
20310.4230769230769230.576923076923077
20400.423076923076923-0.423076923076923
20500.423076923076923-0.423076923076923
20600.423076923076923-0.423076923076923
20710.4230769230769230.576923076923077
20800.423076923076923-0.423076923076923
20900.423076923076923-0.423076923076923
21000.423076923076923-0.423076923076923
21110.4230769230769230.576923076923077
21200.423076923076923-0.423076923076923
21310.4230769230769230.576923076923077
21410.4230769230769230.576923076923077
21500.423076923076923-0.423076923076923
21610.4230769230769230.576923076923077
21700.423076923076923-0.423076923076923
21800.423076923076923-0.423076923076923
21910.4230769230769230.576923076923077
22000.423076923076923-0.423076923076923
22110.4230769230769230.576923076923077
22200.423076923076923-0.423076923076923
22300.423076923076923-0.423076923076923
22400.423076923076923-0.423076923076923
22500.423076923076923-0.423076923076923
22610.4230769230769230.576923076923077
22700.423076923076923-0.423076923076923
22800.423076923076923-0.423076923076923
22910.4230769230769230.576923076923077
23010.4230769230769230.576923076923077
23100.423076923076923-0.423076923076923
23200.423076923076923-0.423076923076923
23300.423076923076923-0.423076923076923
23410.4230769230769230.576923076923077
23500.423076923076923-0.423076923076923
23600.423076923076923-0.423076923076923
23700.423076923076923-0.423076923076923
23800.423076923076923-0.423076923076923
23900.423076923076923-0.423076923076923
24000.423076923076923-0.423076923076923
24100.423076923076923-0.423076923076923
24210.4230769230769230.576923076923077
24310.4230769230769230.576923076923077
24410.4230769230769230.576923076923077
24500.423076923076923-0.423076923076923
24600.423076923076923-0.423076923076923
24710.4230769230769230.576923076923077
24810.4230769230769230.576923076923077
24900.423076923076923-0.423076923076923
25000.423076923076923-0.423076923076923
25100.423076923076923-0.423076923076923
25210.4230769230769230.576923076923077
25310.4230769230769230.576923076923077
25410.4230769230769230.576923076923077
25510.4230769230769230.576923076923077
25600.423076923076923-0.423076923076923
25700.423076923076923-0.423076923076923
25800.423076923076923-0.423076923076923
25900.423076923076923-0.423076923076923
26010.4230769230769230.576923076923077
26100.423076923076923-0.423076923076923
26200.423076923076923-0.423076923076923
26310.4230769230769230.576923076923077
26400.423076923076923-0.423076923076923
26500.423076923076923-0.423076923076923
26610.4230769230769230.576923076923077
26710.4230769230769230.576923076923077
26800.423076923076923-0.423076923076923
26910.4230769230769230.576923076923077
27000.423076923076923-0.423076923076923
27100.423076923076923-0.423076923076923
27210.4230769230769230.576923076923077
27300.423076923076923-0.423076923076923
27410.4230769230769230.576923076923077
27500.423076923076923-0.423076923076923
27600.423076923076923-0.423076923076923
27700.423076923076923-0.423076923076923
27800.423076923076923-0.423076923076923
27910.4230769230769230.576923076923077
28000.423076923076923-0.423076923076923
28100.423076923076923-0.423076923076923
28210.4230769230769230.576923076923077
28300.423076923076923-0.423076923076923
28410.4230769230769230.576923076923077
28500.423076923076923-0.423076923076923
28600.423076923076923-0.423076923076923
28710.4230769230769230.576923076923077
28810.4230769230769230.576923076923077



Parameters (Session):
par1 = 2 ; par2 = none ; par3 = 3 ; par4 = no ;
Parameters (R input):
par1 = 3 ; 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')
}