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Description of Statistical Computation

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 computationThu, 22 Dec 2011 16:25:07 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324589494mbagdvq61rytbug.htm/, Retrieved Fri, 03 May 2024 10:49:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160004, Retrieved Fri, 03 May 2024 10:49:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [Paper: Hall of Fa...] [2011-12-22 19:51:56] [c6bc82f3e3d78f4e6e841dae94c52ed9]
-   P     [Kendall tau Correlation Matrix] [Paper: Hall of Fa...] [2011-12-22 19:55:27] [c6bc82f3e3d78f4e6e841dae94c52ed9]
- RM D        [Recursive Partitioning (Regression Trees)] [Paper: Hall of Fa...] [2011-12-22 21:25:07] [d7127d50f40450f0f3837a0965e389eb] [Current]
- R             [Recursive Partitioning (Regression Trees)] [Paper: Hall of Fa...] [2011-12-22 22:01:51] [c6bc82f3e3d78f4e6e841dae94c52ed9]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
210907	79	30	115	94	112285	24188	146283	144	145
120982	58	28	109	103	84786	18273	98364	103	101
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165446	69	25	93	60	57635	16373	85584	80	79
237213	78	38	140	123	66198	19716	143983	130	127
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133131	44	30	99	90	57793	9028	59238	60	60
258873	104	40	139	124	80444	18653	93163	131	131
180083	63	34	130	70	53855	8828	96037	84	84
324799	158	47	181	168	97668	29498	151511	140	133
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131698	60	19	75	59	65622	13520	72875	78	78
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74408	29	7	28	21	34988	4473	23853	36	35
81240	58	17	68	50	45549	1572	17306	13	13
14688	4	0	0	0	6023	2065	7953	5	5
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271856	109	37	147	86	54990	16714	147866	151	151
7199	7	0	0	0	1644	556	4245	6	6
46660	12	5	15	13	6179	2089	21509	13	13
17547	0	1	4	4	3926	2658	7670	3	3
133368	37	16	64	57	32755	10695	66675	57	56
95227	37	32	111	48	34777	1669	14336	23	23
152601	46	24	85	46	73224	16267	53608	61	57
98146	15	17	68	48	27114	7768	30059	21	14
79619	42	11	40	32	20760	7252	29668	43	43
59194	7	24	80	68	37636	6387	22097	20	20
139942	54	22	88	87	65461	18715	96841	82	72
118612	54	12	48	43	30080	7936	41907	90	87
72880	14	19	76	67	24094	8643	27080	25	21
65475	16	13	51	46	69008	7294	35885	60	56
99643	33	17	67	46	54968	4570	41247	61	59
71965	32	15	59	56	46090	7185	28313	85	82
77272	21	16	61	48	27507	10058	36845	43	43
49289	15	24	76	44	10672	2342	16548	25	25
135131	38	15	60	60	34029	8509	36134	41	38
108446	22	17	68	65	46300	13275	55764	26	25
89746	28	18	71	55	24760	6816	28910	38	38
44296	10	20	76	38	18779	1930	13339	12	12
77648	31	16	62	52	21280	8086	25319	29	29
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134019	32	18	67	54	28987	8033	47487	46	45
124064	43	22	88	86	22827	7058	52785	41	40
92630	27	8	30	24	18513	6782	44683	31	30
121848	37	17	64	52	30594	5401	35619	41	41
52915	20	18	68	49	24006	6521	21920	26	25
81872	32	16	64	61	27913	10856	45608	23	23
58981	0	23	91	61	42744	2154	7721	14	14
53515	5	22	88	81	12934	6117	20634	16	16
60812	26	13	52	43	22574	5238	29788	25	26
56375	10	13	49	40	41385	4820	31931	21	21
65490	27	16	62	40	18653	5615	37754	32	27
80949	11	16	61	56	18472	4272	32505	9	9
76302	29	20	76	68	30976	8702	40557	35	33
104011	25	22	88	79	63339	15340	94238	42	42
98104	55	17	66	47	25568	8030	44197	68	68
67989	23	18	71	57	33747	9526	43228	32	32
30989	5	17	68	41	4154	1278	4103	6	6
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73504	23	7	25	3	35130	3023	32868	33	33
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74914	35	23	90	79	65892	6371	28990	30	30
31774	0	17	66	47	4143	1574	4694	0	0
81437	37	14	54	40	28579	9620	42648	36	36
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65745	26	21	77	42	38084	8645	25836	50	48
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158399	23	18	72	57	32928	5544	40820	30	28
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38395	16	16	63	43	16380	3189	10824	34	34
91899	18	15	59	33	36874	6745	39613	37	33
139526	28	21	84	77	48259	16724	60865	83	80
52164	32	16	64	43	16734	4850	19787	32	32
51567	21	14	56	45	28207	7025	20107	30	30
70551	23	15	54	47	30143	6047	36605	43	41
84856	29	17	67	43	41369	7377	40961	41	41
102538	50	15	58	45	45833	9078	48231	51	51
86678	12	15	59	50	29156	4605	39725	19	18
85709	21	10	40	35	35944	3238	21455	37	34
34662	18	6	22	7	36278	8100	23430	33	31
150580	27	22	83	71	45588	9653	62991	41	39
99611	41	21	81	67	45097	8914	49363	54	54
19349	13	1	2	0	3895	786	9604	14	14
99373	12	18	72	62	28394	6700	24552	25	24
86230	21	17	61	54	18632	5788	31493	25	24
30837	8	4	15	4	2325	593	3439	8	8
31706	26	10	32	25	25139	4506	19555	26	26
89806	27	16	62	40	27975	6382	21228	20	19
62088	13	16	58	38	14483	5621	23177	11	11
40151	16	9	36	19	13127	3997	22094	14	14
27634	2	16	59	17	5839	520	2342	3	1
76990	42	17	68	67	24069	8891	38798	40	39
37460	5	7	21	14	3738	999	3255	5	5
54157	37	15	55	30	18625	7067	24261	38	37
49862	17	14	54	54	36341	4639	18511	32	32
84337	38	14	55	35	24548	5654	40798	41	38
64175	37	18	72	59	21792	6928	28893	46	47
59382	29	12	41	24	26263	1514	21425	47	47
119308	32	16	61	58	23686	9238	50276	37	37
76702	35	21	67	42	49303	8204	37643	51	51
103425	17	19	76	46	25659	5926	30377	49	45
70344	20	16	64	61	28904	5785	27126	21	21
43410	7	1	3	3	2781	4	13	1	1
104838	46	16	63	52	29236	5930	42097	44	42
62215	24	10	40	25	19546	3710	24451	26	26
69304	40	19	69	40	22818	705	14335	21	21
53117	3	12	48	32	32689	443	5084	4	4
19764	10	2	8	4	5752	2416	9927	10	10
86680	37	14	52	49	22197	7747	43527	43	43
84105	17	17	66	63	20055	5432	27184	34	34
77945	28	19	76	67	25272	4913	21610	32	31
89113	19	14	43	32	82206	2650	20484	20	19
91005	29	11	39	23	32073	2370	20156	34	34
40248	8	4	14	7	5444	775	6012	6	6
64187	10	16	61	54	20154	5576	18475	12	11
50857	15	20	71	37	36944	1352	12645	24	24
56613	15	12	44	35	8019	3080	11017	16	16
62792	28	15	60	51	30884	10205	37623	72	72
72535	17	16	64	39	19540	6095	35873	27	21

Tables (Output of Computation)





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=160004&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=160004&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160004&T=0

As an alternative you can also use a QR Code:  
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
Correlation0.8615
R-squared0.7421
RMSE20491.8405

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.8615 \tabularnewline
R-squared & 0.7421 \tabularnewline
RMSE & 20491.8405 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160004&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.8615[/C][/ROW]
[ROW][C]R-squared[/C][C]0.7421[/C][/ROW]
[ROW][C]RMSE[/C][C]20491.8405[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160004&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160004&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Goodness of Fit
Correlation0.8615
R-squared0.7421
RMSE20491.8405






Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1112285113150.510204082-865.510204081627
28478687895.3191489362-3109.31914893616
38312365058.807692307718064.1923076923
410119387895.319148936213297.6808510638
53836165058.8076923077-26697.8076923077
66850429442.309278350539061.6907216495
7119182113150.5102040826031.48979591837
82280720455.73333333332351.26666666667
91714029442.3092783505-12302.3092783505
1011617487895.319148936228278.6808510638
115763587895.3191489362-30260.3191489362
1266198113150.510204082-46952.5102040816
137170187895.3191489362-16194.3191489362
145779375345.8181818182-17552.8181818182
158044487895.3191489362-7451.31914893616
165385565058.8076923077-11203.8076923077
1797668113150.510204082-15482.5102040816
18133824113150.51020408220673.4897959184
1910148187895.319148936213585.6808510638
209964587895.319148936211749.6808510638
2111478987895.319148936226893.6808510638
2299052113150.510204082-14098.5102040816
2367654113150.510204082-45496.5102040816
246555365058.8076923077494.192307692305
259750087895.31914893629604.68085106384
266911287895.3191489362-18783.3191489362
278275387895.3191489362-5142.31914893616
2885323113150.510204082-27827.5102040816
2972654113150.510204082-40496.5102040816
303072746694.4230769231-15967.4230769231
3177873113150.510204082-35277.5102040816
32117478113150.5102040824327.48979591837
337400765058.80769230778948.1923076923
3490183113150.510204082-22967.5102040816
356154275345.8181818182-13803.8181818182
36101494113150.510204082-11656.5102040816
372757029442.3092783505-1872.30927835052
385581365058.8076923077-9245.8076923077
3979215113150.510204082-33935.5102040816
4014235251.05555555556-3828.05555555556
415546187895.3191489362-32434.3191489362
423108129442.30927835051638.69072164948
432299629442.3092783505-6446.30927835052
4483122113150.510204082-30028.5102040816
457010687895.3191489362-17789.3191489362
466057865058.8076923077-4480.8076923077
473999246694.4230769231-6702.42307692308
487989287895.3191489362-8003.31914893616
494981046694.42307692313115.57692307692
507157065058.80769230776511.1923076923
5110070865058.807692307735649.1923076923
523303229442.30927835053589.69072164948
538287587895.3191489362-5020.31914893616
54139077113150.51020408225926.4897959184
557159587895.3191489362-16300.3191489362
5672260113150.510204082-40890.5102040816
5759505251.05555555556698.944444444444
58115762113150.5102040822611.48979591837
593255129442.30927835053108.69072164948
603170129442.30927835052258.69072164948
618067087895.3191489362-7225.31914893616
62143558113150.51020408230407.4897959184
63117105113150.5102040823954.48979591837
642378929442.3092783505-5653.30927835052
65120733113150.5102040827582.48979591837
66105195113150.510204082-7955.51020408163
677310775345.8181818182-2238.81818181818
68132068113150.51020408218917.4897959184
69149193113150.51020408236042.4897959184
704682165058.8076923077-18237.8076923077
718701187895.3191489362-884.319148936163
7295260113150.510204082-17890.5102040816
735518387895.3191489362-32712.3191489362
7410667187895.319148936218775.6808510638
757351187895.3191489362-14384.3191489362
769294587895.31914893625049.68085106384
777866487895.3191489362-9231.31914893616
787005465058.80769230774995.1923076923
792261829442.3092783505-6824.30927835052
807401187895.3191489362-13884.3191489362
818373787895.3191489362-4158.31914893616
826909487895.3191489362-18801.3191489362
839313387895.31914893625237.68085106384
8495536113150.510204082-17614.5102040816
85225920113150.510204082112769.489795918
866213375345.8181818182-13212.8181818182
876137075345.8181818182-13975.8181818182
884383646694.4230769231-2858.42307692308
89106117113150.510204082-7033.51020408163
903869265058.8076923077-26366.8076923077
918465187895.3191489362-3244.31914893616
925662246694.42307692319927.57692307692
931598629442.3092783505-13456.3092783505
949536487895.31914893627468.68085106384
952670629442.3092783505-2736.30927835052
968969187895.31914893621795.68085106384
9767267113150.510204082-45883.5102040816
9812684687895.319148936238950.6808510638
994114065058.8076923077-23918.8076923077
10010286087895.319148936214964.6808510638
1015171565058.8076923077-13343.8076923077
1025580165058.8076923077-9257.8076923077
10311181387895.319148936223917.6808510638
10412029387895.319148936232397.6808510638
105138599113150.51020408225448.4897959184
106161647113150.51020408248496.4897959184
107115929113150.5102040822778.48979591837
1082426629442.3092783505-5176.30927835052
109162901113150.51020408249750.4897959184
11010982587895.319148936221929.6808510638
111129838113150.51020408216687.4897959184
1123751046694.4230769231-9184.42307692308
1134375029442.309278350514307.6907216495
1144065265058.8076923077-24406.8076923077
1158777187895.3191489362-124.319148936163
1168587287895.3191489362-2023.31914893616
1178927587895.31914893621379.68085106384
1184441865058.8076923077-20640.8076923077
119192565113150.51020408279414.4897959184
1203523229442.30927835055789.69072164948
1214090946694.4230769231-5785.42307692308
1221329429442.3092783505-16148.3092783505
1233238746694.4230769231-14307.4230769231
12414086765058.807692307775808.1923076923
125120662113150.5102040827511.48979591837
1262123329442.3092783505-8209.30927835052
1274433229442.309278350514889.6907216495
1286105675345.8181818182-14289.8181818182
12910133887895.319148936213442.6808510638
13011685251.05555555556-4083.05555555556
131134975251.055555555568245.94444444445
1326556787895.3191489362-22328.3191489362
1332516229442.3092783505-4280.30927835052
1343233429442.30927835052891.69072164948
1354073575345.8181818182-34610.8181818182
13691413113150.510204082-21737.5102040816
1378555251.05555555556-4396.05555555556
1389706865058.807692307732009.1923076923
1394433929442.309278350514896.6907216495
1401411629442.3092783505-15326.3092783505
1411028820455.7333333333-10167.7333333333
1426562265058.8076923077563.192307692305
1431656320455.7333333333-3892.73333333333
14476643113150.510204082-36507.5102040816
14511068187895.319148936222785.6808510638
1462901129442.3092783505-431.309278350516
1479269675345.818181818217350.1818181818
1489478546694.423076923148090.5769230769
14987735251.055555555563521.94444444444
1508320975345.81818181827863.18181818182
15193815113150.510204082-19335.5102040816
1528668787895.3191489362-1208.31914893616
1533455329442.30927835055110.69072164948
154105547113150.510204082-7603.51020408163
155103487113150.510204082-9663.51020408163
156213688113150.510204082100537.489795918
1577122087895.3191489362-16675.3191489362
1582351729442.3092783505-5925.30927835052
1595692629442.309278350527483.6907216495
1609172187895.31914893623825.68085106384
161115168113150.5102040822017.48979591837
16211119475345.818181818235848.1818181818
1635100946694.42307692314314.57692307692
164135777113150.51020408222626.4897959184
1655151346694.42307692314818.57692307692
16674163113150.510204082-38987.5102040816
1675163365058.8076923077-13425.8076923077
1687534546694.423076923128650.5769230769
1693341665058.8076923077-31642.8076923077
1708330565058.807692307718246.1923076923
1719895265058.807692307733893.1923076923
17210237287895.319148936214476.6808510638
1733723820455.733333333316782.2666666667
174103772113150.510204082-9378.51020408163
17512396975345.818181818248623.1818181818
1762714229442.3092783505-2300.30927835052
177135400113150.51020408222249.4897959184
1782139929442.3092783505-8043.30927835052
179130115113150.51020408216964.4897959184
1802487429442.3092783505-4568.30927835052
1813498829442.30927835055545.69072164948
1824554920455.733333333325093.2666666667
18360235251.05555555556771.944444444444
1846446665058.8076923077-592.807692307695
18554990113150.510204082-58160.5102040816
18616445251.05555555556-3607.05555555556
18761795251.05555555556927.944444444444
18839265251.05555555556-1325.05555555556
1893275546694.4230769231-13939.4230769231
1903477729442.30927835055334.69072164948
1917322446694.423076923126529.5769230769
1922711429442.3092783505-2328.30927835052
1932076029442.3092783505-8682.30927835052
1943763629442.30927835058193.69072164948
1956546187895.3191489362-22434.3191489362
1963008046694.4230769231-16614.4230769231
1972409429442.3092783505-5348.30927835052
1986900846694.423076923122313.5769230769
1995496846694.42307692318273.57692307692
2004609046694.4230769231-604.423076923078
2012750729442.3092783505-1935.30927835052
2021067229442.3092783505-18770.3092783505
2033402929442.30927835054586.69072164948
2044630029442.309278350516857.6907216495
2052476029442.3092783505-4682.30927835052
2061877920455.7333333333-1676.73333333333
2072128029442.3092783505-8162.30927835052
2084066229442.309278350511219.6907216495
2092898729442.3092783505-455.309278350516
2102282729442.3092783505-6615.30927835052
2111851329442.3092783505-10929.3092783505
2123059429442.30927835051151.69072164948
2132400629442.3092783505-5436.30927835052
2142791329442.3092783505-1529.30927835052
2154274420455.733333333322288.2666666667
2161293420455.7333333333-7521.73333333333
2172257429442.3092783505-6868.30927835052
2184138529442.309278350511942.6907216495
2191865329442.3092783505-10789.3092783505
2201847220455.7333333333-1983.73333333333
2213097629442.30927835051533.69072164948
2226333965058.8076923077-1719.8076923077
2232556846694.4230769231-21126.4230769231
2243374729442.30927835054304.69072164948
225415420455.7333333333-16301.7333333333
2261947446694.4230769231-27220.4230769231
2273513029442.30927835055687.69072164948
2283906746694.4230769231-7627.42307692308
2291331029442.3092783505-16132.3092783505
2306589229442.309278350536449.6907216495
231414320455.7333333333-16312.7333333333
2322857929442.3092783505-863.309278350516
2335177629442.309278350522333.6907216495
2342115229442.3092783505-8290.30927835052
2353808429442.30927835058641.69072164948
2362771729442.3092783505-1725.30927835052
2373292829442.30927835053485.69072164948
2381134229442.3092783505-18100.3092783505
2391949929442.3092783505-9943.30927835052
2401638029442.3092783505-13062.3092783505
2413687429442.30927835057431.69072164948
2424825946694.42307692311564.57692307692
2431673429442.3092783505-12708.3092783505
2442820729442.3092783505-1235.30927835052
2453014329442.3092783505700.690721649484
2464136929442.309278350511926.6907216495
2474583346694.4230769231-861.423076923078
2482915629442.3092783505-286.309278350516
2493594429442.30927835056501.69072164948
2503627829442.30927835056835.69072164948
2514558829442.309278350516145.6907216495
2524509746694.4230769231-1597.42307692308
25338955251.05555555556-1356.05555555556
2542839429442.3092783505-1048.30927835052
2551863229442.3092783505-10810.3092783505
25623255251.05555555556-2926.05555555556
2572513929442.3092783505-4303.30927835052
2582797529442.3092783505-1467.30927835052
2591448320455.7333333333-5972.73333333333
260131275251.055555555567875.94444444444
261583920455.7333333333-14616.7333333333
2622406929442.3092783505-5373.30927835052
26337385251.05555555556-1513.05555555556
2641862529442.3092783505-10817.3092783505
2653634129442.30927835056898.69072164948
2662454829442.3092783505-4894.30927835052
2672179229442.3092783505-7650.30927835052
2682626329442.3092783505-3179.30927835052
2692368629442.3092783505-5756.30927835052
2704930346694.42307692312608.57692307692
2712565929442.3092783505-3783.30927835052
2722890429442.3092783505-538.309278350516
27327815251.05555555556-2470.05555555556
2742923629442.3092783505-206.309278350516
2751954629442.3092783505-9896.30927835052
2762281829442.3092783505-6624.30927835052
2773268920455.733333333312233.2666666667
27857525251.05555555556500.944444444444
2792219729442.3092783505-7245.30927835052
2802005529442.3092783505-9387.30927835052
2812527229442.3092783505-4170.30927835052
2828220629442.309278350552763.6907216495
2833207329442.30927835052630.69072164948
28454445251.05555555556192.944444444444
2852015420455.7333333333-301.733333333334
2863694429442.30927835057501.69072164948
28780195251.055555555562767.94444444444
2883088446694.4230769231-15810.4230769231
2891954029442.3092783505-9902.30927835052

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 112285 & 113150.510204082 & -865.510204081627 \tabularnewline
2 & 84786 & 87895.3191489362 & -3109.31914893616 \tabularnewline
3 & 83123 & 65058.8076923077 & 18064.1923076923 \tabularnewline
4 & 101193 & 87895.3191489362 & 13297.6808510638 \tabularnewline
5 & 38361 & 65058.8076923077 & -26697.8076923077 \tabularnewline
6 & 68504 & 29442.3092783505 & 39061.6907216495 \tabularnewline
7 & 119182 & 113150.510204082 & 6031.48979591837 \tabularnewline
8 & 22807 & 20455.7333333333 & 2351.26666666667 \tabularnewline
9 & 17140 & 29442.3092783505 & -12302.3092783505 \tabularnewline
10 & 116174 & 87895.3191489362 & 28278.6808510638 \tabularnewline
11 & 57635 & 87895.3191489362 & -30260.3191489362 \tabularnewline
12 & 66198 & 113150.510204082 & -46952.5102040816 \tabularnewline
13 & 71701 & 87895.3191489362 & -16194.3191489362 \tabularnewline
14 & 57793 & 75345.8181818182 & -17552.8181818182 \tabularnewline
15 & 80444 & 87895.3191489362 & -7451.31914893616 \tabularnewline
16 & 53855 & 65058.8076923077 & -11203.8076923077 \tabularnewline
17 & 97668 & 113150.510204082 & -15482.5102040816 \tabularnewline
18 & 133824 & 113150.510204082 & 20673.4897959184 \tabularnewline
19 & 101481 & 87895.3191489362 & 13585.6808510638 \tabularnewline
20 & 99645 & 87895.3191489362 & 11749.6808510638 \tabularnewline
21 & 114789 & 87895.3191489362 & 26893.6808510638 \tabularnewline
22 & 99052 & 113150.510204082 & -14098.5102040816 \tabularnewline
23 & 67654 & 113150.510204082 & -45496.5102040816 \tabularnewline
24 & 65553 & 65058.8076923077 & 494.192307692305 \tabularnewline
25 & 97500 & 87895.3191489362 & 9604.68085106384 \tabularnewline
26 & 69112 & 87895.3191489362 & -18783.3191489362 \tabularnewline
27 & 82753 & 87895.3191489362 & -5142.31914893616 \tabularnewline
28 & 85323 & 113150.510204082 & -27827.5102040816 \tabularnewline
29 & 72654 & 113150.510204082 & -40496.5102040816 \tabularnewline
30 & 30727 & 46694.4230769231 & -15967.4230769231 \tabularnewline
31 & 77873 & 113150.510204082 & -35277.5102040816 \tabularnewline
32 & 117478 & 113150.510204082 & 4327.48979591837 \tabularnewline
33 & 74007 & 65058.8076923077 & 8948.1923076923 \tabularnewline
34 & 90183 & 113150.510204082 & -22967.5102040816 \tabularnewline
35 & 61542 & 75345.8181818182 & -13803.8181818182 \tabularnewline
36 & 101494 & 113150.510204082 & -11656.5102040816 \tabularnewline
37 & 27570 & 29442.3092783505 & -1872.30927835052 \tabularnewline
38 & 55813 & 65058.8076923077 & -9245.8076923077 \tabularnewline
39 & 79215 & 113150.510204082 & -33935.5102040816 \tabularnewline
40 & 1423 & 5251.05555555556 & -3828.05555555556 \tabularnewline
41 & 55461 & 87895.3191489362 & -32434.3191489362 \tabularnewline
42 & 31081 & 29442.3092783505 & 1638.69072164948 \tabularnewline
43 & 22996 & 29442.3092783505 & -6446.30927835052 \tabularnewline
44 & 83122 & 113150.510204082 & -30028.5102040816 \tabularnewline
45 & 70106 & 87895.3191489362 & -17789.3191489362 \tabularnewline
46 & 60578 & 65058.8076923077 & -4480.8076923077 \tabularnewline
47 & 39992 & 46694.4230769231 & -6702.42307692308 \tabularnewline
48 & 79892 & 87895.3191489362 & -8003.31914893616 \tabularnewline
49 & 49810 & 46694.4230769231 & 3115.57692307692 \tabularnewline
50 & 71570 & 65058.8076923077 & 6511.1923076923 \tabularnewline
51 & 100708 & 65058.8076923077 & 35649.1923076923 \tabularnewline
52 & 33032 & 29442.3092783505 & 3589.69072164948 \tabularnewline
53 & 82875 & 87895.3191489362 & -5020.31914893616 \tabularnewline
54 & 139077 & 113150.510204082 & 25926.4897959184 \tabularnewline
55 & 71595 & 87895.3191489362 & -16300.3191489362 \tabularnewline
56 & 72260 & 113150.510204082 & -40890.5102040816 \tabularnewline
57 & 5950 & 5251.05555555556 & 698.944444444444 \tabularnewline
58 & 115762 & 113150.510204082 & 2611.48979591837 \tabularnewline
59 & 32551 & 29442.3092783505 & 3108.69072164948 \tabularnewline
60 & 31701 & 29442.3092783505 & 2258.69072164948 \tabularnewline
61 & 80670 & 87895.3191489362 & -7225.31914893616 \tabularnewline
62 & 143558 & 113150.510204082 & 30407.4897959184 \tabularnewline
63 & 117105 & 113150.510204082 & 3954.48979591837 \tabularnewline
64 & 23789 & 29442.3092783505 & -5653.30927835052 \tabularnewline
65 & 120733 & 113150.510204082 & 7582.48979591837 \tabularnewline
66 & 105195 & 113150.510204082 & -7955.51020408163 \tabularnewline
67 & 73107 & 75345.8181818182 & -2238.81818181818 \tabularnewline
68 & 132068 & 113150.510204082 & 18917.4897959184 \tabularnewline
69 & 149193 & 113150.510204082 & 36042.4897959184 \tabularnewline
70 & 46821 & 65058.8076923077 & -18237.8076923077 \tabularnewline
71 & 87011 & 87895.3191489362 & -884.319148936163 \tabularnewline
72 & 95260 & 113150.510204082 & -17890.5102040816 \tabularnewline
73 & 55183 & 87895.3191489362 & -32712.3191489362 \tabularnewline
74 & 106671 & 87895.3191489362 & 18775.6808510638 \tabularnewline
75 & 73511 & 87895.3191489362 & -14384.3191489362 \tabularnewline
76 & 92945 & 87895.3191489362 & 5049.68085106384 \tabularnewline
77 & 78664 & 87895.3191489362 & -9231.31914893616 \tabularnewline
78 & 70054 & 65058.8076923077 & 4995.1923076923 \tabularnewline
79 & 22618 & 29442.3092783505 & -6824.30927835052 \tabularnewline
80 & 74011 & 87895.3191489362 & -13884.3191489362 \tabularnewline
81 & 83737 & 87895.3191489362 & -4158.31914893616 \tabularnewline
82 & 69094 & 87895.3191489362 & -18801.3191489362 \tabularnewline
83 & 93133 & 87895.3191489362 & 5237.68085106384 \tabularnewline
84 & 95536 & 113150.510204082 & -17614.5102040816 \tabularnewline
85 & 225920 & 113150.510204082 & 112769.489795918 \tabularnewline
86 & 62133 & 75345.8181818182 & -13212.8181818182 \tabularnewline
87 & 61370 & 75345.8181818182 & -13975.8181818182 \tabularnewline
88 & 43836 & 46694.4230769231 & -2858.42307692308 \tabularnewline
89 & 106117 & 113150.510204082 & -7033.51020408163 \tabularnewline
90 & 38692 & 65058.8076923077 & -26366.8076923077 \tabularnewline
91 & 84651 & 87895.3191489362 & -3244.31914893616 \tabularnewline
92 & 56622 & 46694.4230769231 & 9927.57692307692 \tabularnewline
93 & 15986 & 29442.3092783505 & -13456.3092783505 \tabularnewline
94 & 95364 & 87895.3191489362 & 7468.68085106384 \tabularnewline
95 & 26706 & 29442.3092783505 & -2736.30927835052 \tabularnewline
96 & 89691 & 87895.3191489362 & 1795.68085106384 \tabularnewline
97 & 67267 & 113150.510204082 & -45883.5102040816 \tabularnewline
98 & 126846 & 87895.3191489362 & 38950.6808510638 \tabularnewline
99 & 41140 & 65058.8076923077 & -23918.8076923077 \tabularnewline
100 & 102860 & 87895.3191489362 & 14964.6808510638 \tabularnewline
101 & 51715 & 65058.8076923077 & -13343.8076923077 \tabularnewline
102 & 55801 & 65058.8076923077 & -9257.8076923077 \tabularnewline
103 & 111813 & 87895.3191489362 & 23917.6808510638 \tabularnewline
104 & 120293 & 87895.3191489362 & 32397.6808510638 \tabularnewline
105 & 138599 & 113150.510204082 & 25448.4897959184 \tabularnewline
106 & 161647 & 113150.510204082 & 48496.4897959184 \tabularnewline
107 & 115929 & 113150.510204082 & 2778.48979591837 \tabularnewline
108 & 24266 & 29442.3092783505 & -5176.30927835052 \tabularnewline
109 & 162901 & 113150.510204082 & 49750.4897959184 \tabularnewline
110 & 109825 & 87895.3191489362 & 21929.6808510638 \tabularnewline
111 & 129838 & 113150.510204082 & 16687.4897959184 \tabularnewline
112 & 37510 & 46694.4230769231 & -9184.42307692308 \tabularnewline
113 & 43750 & 29442.3092783505 & 14307.6907216495 \tabularnewline
114 & 40652 & 65058.8076923077 & -24406.8076923077 \tabularnewline
115 & 87771 & 87895.3191489362 & -124.319148936163 \tabularnewline
116 & 85872 & 87895.3191489362 & -2023.31914893616 \tabularnewline
117 & 89275 & 87895.3191489362 & 1379.68085106384 \tabularnewline
118 & 44418 & 65058.8076923077 & -20640.8076923077 \tabularnewline
119 & 192565 & 113150.510204082 & 79414.4897959184 \tabularnewline
120 & 35232 & 29442.3092783505 & 5789.69072164948 \tabularnewline
121 & 40909 & 46694.4230769231 & -5785.42307692308 \tabularnewline
122 & 13294 & 29442.3092783505 & -16148.3092783505 \tabularnewline
123 & 32387 & 46694.4230769231 & -14307.4230769231 \tabularnewline
124 & 140867 & 65058.8076923077 & 75808.1923076923 \tabularnewline
125 & 120662 & 113150.510204082 & 7511.48979591837 \tabularnewline
126 & 21233 & 29442.3092783505 & -8209.30927835052 \tabularnewline
127 & 44332 & 29442.3092783505 & 14889.6907216495 \tabularnewline
128 & 61056 & 75345.8181818182 & -14289.8181818182 \tabularnewline
129 & 101338 & 87895.3191489362 & 13442.6808510638 \tabularnewline
130 & 1168 & 5251.05555555556 & -4083.05555555556 \tabularnewline
131 & 13497 & 5251.05555555556 & 8245.94444444445 \tabularnewline
132 & 65567 & 87895.3191489362 & -22328.3191489362 \tabularnewline
133 & 25162 & 29442.3092783505 & -4280.30927835052 \tabularnewline
134 & 32334 & 29442.3092783505 & 2891.69072164948 \tabularnewline
135 & 40735 & 75345.8181818182 & -34610.8181818182 \tabularnewline
136 & 91413 & 113150.510204082 & -21737.5102040816 \tabularnewline
137 & 855 & 5251.05555555556 & -4396.05555555556 \tabularnewline
138 & 97068 & 65058.8076923077 & 32009.1923076923 \tabularnewline
139 & 44339 & 29442.3092783505 & 14896.6907216495 \tabularnewline
140 & 14116 & 29442.3092783505 & -15326.3092783505 \tabularnewline
141 & 10288 & 20455.7333333333 & -10167.7333333333 \tabularnewline
142 & 65622 & 65058.8076923077 & 563.192307692305 \tabularnewline
143 & 16563 & 20455.7333333333 & -3892.73333333333 \tabularnewline
144 & 76643 & 113150.510204082 & -36507.5102040816 \tabularnewline
145 & 110681 & 87895.3191489362 & 22785.6808510638 \tabularnewline
146 & 29011 & 29442.3092783505 & -431.309278350516 \tabularnewline
147 & 92696 & 75345.8181818182 & 17350.1818181818 \tabularnewline
148 & 94785 & 46694.4230769231 & 48090.5769230769 \tabularnewline
149 & 8773 & 5251.05555555556 & 3521.94444444444 \tabularnewline
150 & 83209 & 75345.8181818182 & 7863.18181818182 \tabularnewline
151 & 93815 & 113150.510204082 & -19335.5102040816 \tabularnewline
152 & 86687 & 87895.3191489362 & -1208.31914893616 \tabularnewline
153 & 34553 & 29442.3092783505 & 5110.69072164948 \tabularnewline
154 & 105547 & 113150.510204082 & -7603.51020408163 \tabularnewline
155 & 103487 & 113150.510204082 & -9663.51020408163 \tabularnewline
156 & 213688 & 113150.510204082 & 100537.489795918 \tabularnewline
157 & 71220 & 87895.3191489362 & -16675.3191489362 \tabularnewline
158 & 23517 & 29442.3092783505 & -5925.30927835052 \tabularnewline
159 & 56926 & 29442.3092783505 & 27483.6907216495 \tabularnewline
160 & 91721 & 87895.3191489362 & 3825.68085106384 \tabularnewline
161 & 115168 & 113150.510204082 & 2017.48979591837 \tabularnewline
162 & 111194 & 75345.8181818182 & 35848.1818181818 \tabularnewline
163 & 51009 & 46694.4230769231 & 4314.57692307692 \tabularnewline
164 & 135777 & 113150.510204082 & 22626.4897959184 \tabularnewline
165 & 51513 & 46694.4230769231 & 4818.57692307692 \tabularnewline
166 & 74163 & 113150.510204082 & -38987.5102040816 \tabularnewline
167 & 51633 & 65058.8076923077 & -13425.8076923077 \tabularnewline
168 & 75345 & 46694.4230769231 & 28650.5769230769 \tabularnewline
169 & 33416 & 65058.8076923077 & -31642.8076923077 \tabularnewline
170 & 83305 & 65058.8076923077 & 18246.1923076923 \tabularnewline
171 & 98952 & 65058.8076923077 & 33893.1923076923 \tabularnewline
172 & 102372 & 87895.3191489362 & 14476.6808510638 \tabularnewline
173 & 37238 & 20455.7333333333 & 16782.2666666667 \tabularnewline
174 & 103772 & 113150.510204082 & -9378.51020408163 \tabularnewline
175 & 123969 & 75345.8181818182 & 48623.1818181818 \tabularnewline
176 & 27142 & 29442.3092783505 & -2300.30927835052 \tabularnewline
177 & 135400 & 113150.510204082 & 22249.4897959184 \tabularnewline
178 & 21399 & 29442.3092783505 & -8043.30927835052 \tabularnewline
179 & 130115 & 113150.510204082 & 16964.4897959184 \tabularnewline
180 & 24874 & 29442.3092783505 & -4568.30927835052 \tabularnewline
181 & 34988 & 29442.3092783505 & 5545.69072164948 \tabularnewline
182 & 45549 & 20455.7333333333 & 25093.2666666667 \tabularnewline
183 & 6023 & 5251.05555555556 & 771.944444444444 \tabularnewline
184 & 64466 & 65058.8076923077 & -592.807692307695 \tabularnewline
185 & 54990 & 113150.510204082 & -58160.5102040816 \tabularnewline
186 & 1644 & 5251.05555555556 & -3607.05555555556 \tabularnewline
187 & 6179 & 5251.05555555556 & 927.944444444444 \tabularnewline
188 & 3926 & 5251.05555555556 & -1325.05555555556 \tabularnewline
189 & 32755 & 46694.4230769231 & -13939.4230769231 \tabularnewline
190 & 34777 & 29442.3092783505 & 5334.69072164948 \tabularnewline
191 & 73224 & 46694.4230769231 & 26529.5769230769 \tabularnewline
192 & 27114 & 29442.3092783505 & -2328.30927835052 \tabularnewline
193 & 20760 & 29442.3092783505 & -8682.30927835052 \tabularnewline
194 & 37636 & 29442.3092783505 & 8193.69072164948 \tabularnewline
195 & 65461 & 87895.3191489362 & -22434.3191489362 \tabularnewline
196 & 30080 & 46694.4230769231 & -16614.4230769231 \tabularnewline
197 & 24094 & 29442.3092783505 & -5348.30927835052 \tabularnewline
198 & 69008 & 46694.4230769231 & 22313.5769230769 \tabularnewline
199 & 54968 & 46694.4230769231 & 8273.57692307692 \tabularnewline
200 & 46090 & 46694.4230769231 & -604.423076923078 \tabularnewline
201 & 27507 & 29442.3092783505 & -1935.30927835052 \tabularnewline
202 & 10672 & 29442.3092783505 & -18770.3092783505 \tabularnewline
203 & 34029 & 29442.3092783505 & 4586.69072164948 \tabularnewline
204 & 46300 & 29442.3092783505 & 16857.6907216495 \tabularnewline
205 & 24760 & 29442.3092783505 & -4682.30927835052 \tabularnewline
206 & 18779 & 20455.7333333333 & -1676.73333333333 \tabularnewline
207 & 21280 & 29442.3092783505 & -8162.30927835052 \tabularnewline
208 & 40662 & 29442.3092783505 & 11219.6907216495 \tabularnewline
209 & 28987 & 29442.3092783505 & -455.309278350516 \tabularnewline
210 & 22827 & 29442.3092783505 & -6615.30927835052 \tabularnewline
211 & 18513 & 29442.3092783505 & -10929.3092783505 \tabularnewline
212 & 30594 & 29442.3092783505 & 1151.69072164948 \tabularnewline
213 & 24006 & 29442.3092783505 & -5436.30927835052 \tabularnewline
214 & 27913 & 29442.3092783505 & -1529.30927835052 \tabularnewline
215 & 42744 & 20455.7333333333 & 22288.2666666667 \tabularnewline
216 & 12934 & 20455.7333333333 & -7521.73333333333 \tabularnewline
217 & 22574 & 29442.3092783505 & -6868.30927835052 \tabularnewline
218 & 41385 & 29442.3092783505 & 11942.6907216495 \tabularnewline
219 & 18653 & 29442.3092783505 & -10789.3092783505 \tabularnewline
220 & 18472 & 20455.7333333333 & -1983.73333333333 \tabularnewline
221 & 30976 & 29442.3092783505 & 1533.69072164948 \tabularnewline
222 & 63339 & 65058.8076923077 & -1719.8076923077 \tabularnewline
223 & 25568 & 46694.4230769231 & -21126.4230769231 \tabularnewline
224 & 33747 & 29442.3092783505 & 4304.69072164948 \tabularnewline
225 & 4154 & 20455.7333333333 & -16301.7333333333 \tabularnewline
226 & 19474 & 46694.4230769231 & -27220.4230769231 \tabularnewline
227 & 35130 & 29442.3092783505 & 5687.69072164948 \tabularnewline
228 & 39067 & 46694.4230769231 & -7627.42307692308 \tabularnewline
229 & 13310 & 29442.3092783505 & -16132.3092783505 \tabularnewline
230 & 65892 & 29442.3092783505 & 36449.6907216495 \tabularnewline
231 & 4143 & 20455.7333333333 & -16312.7333333333 \tabularnewline
232 & 28579 & 29442.3092783505 & -863.309278350516 \tabularnewline
233 & 51776 & 29442.3092783505 & 22333.6907216495 \tabularnewline
234 & 21152 & 29442.3092783505 & -8290.30927835052 \tabularnewline
235 & 38084 & 29442.3092783505 & 8641.69072164948 \tabularnewline
236 & 27717 & 29442.3092783505 & -1725.30927835052 \tabularnewline
237 & 32928 & 29442.3092783505 & 3485.69072164948 \tabularnewline
238 & 11342 & 29442.3092783505 & -18100.3092783505 \tabularnewline
239 & 19499 & 29442.3092783505 & -9943.30927835052 \tabularnewline
240 & 16380 & 29442.3092783505 & -13062.3092783505 \tabularnewline
241 & 36874 & 29442.3092783505 & 7431.69072164948 \tabularnewline
242 & 48259 & 46694.4230769231 & 1564.57692307692 \tabularnewline
243 & 16734 & 29442.3092783505 & -12708.3092783505 \tabularnewline
244 & 28207 & 29442.3092783505 & -1235.30927835052 \tabularnewline
245 & 30143 & 29442.3092783505 & 700.690721649484 \tabularnewline
246 & 41369 & 29442.3092783505 & 11926.6907216495 \tabularnewline
247 & 45833 & 46694.4230769231 & -861.423076923078 \tabularnewline
248 & 29156 & 29442.3092783505 & -286.309278350516 \tabularnewline
249 & 35944 & 29442.3092783505 & 6501.69072164948 \tabularnewline
250 & 36278 & 29442.3092783505 & 6835.69072164948 \tabularnewline
251 & 45588 & 29442.3092783505 & 16145.6907216495 \tabularnewline
252 & 45097 & 46694.4230769231 & -1597.42307692308 \tabularnewline
253 & 3895 & 5251.05555555556 & -1356.05555555556 \tabularnewline
254 & 28394 & 29442.3092783505 & -1048.30927835052 \tabularnewline
255 & 18632 & 29442.3092783505 & -10810.3092783505 \tabularnewline
256 & 2325 & 5251.05555555556 & -2926.05555555556 \tabularnewline
257 & 25139 & 29442.3092783505 & -4303.30927835052 \tabularnewline
258 & 27975 & 29442.3092783505 & -1467.30927835052 \tabularnewline
259 & 14483 & 20455.7333333333 & -5972.73333333333 \tabularnewline
260 & 13127 & 5251.05555555556 & 7875.94444444444 \tabularnewline
261 & 5839 & 20455.7333333333 & -14616.7333333333 \tabularnewline
262 & 24069 & 29442.3092783505 & -5373.30927835052 \tabularnewline
263 & 3738 & 5251.05555555556 & -1513.05555555556 \tabularnewline
264 & 18625 & 29442.3092783505 & -10817.3092783505 \tabularnewline
265 & 36341 & 29442.3092783505 & 6898.69072164948 \tabularnewline
266 & 24548 & 29442.3092783505 & -4894.30927835052 \tabularnewline
267 & 21792 & 29442.3092783505 & -7650.30927835052 \tabularnewline
268 & 26263 & 29442.3092783505 & -3179.30927835052 \tabularnewline
269 & 23686 & 29442.3092783505 & -5756.30927835052 \tabularnewline
270 & 49303 & 46694.4230769231 & 2608.57692307692 \tabularnewline
271 & 25659 & 29442.3092783505 & -3783.30927835052 \tabularnewline
272 & 28904 & 29442.3092783505 & -538.309278350516 \tabularnewline
273 & 2781 & 5251.05555555556 & -2470.05555555556 \tabularnewline
274 & 29236 & 29442.3092783505 & -206.309278350516 \tabularnewline
275 & 19546 & 29442.3092783505 & -9896.30927835052 \tabularnewline
276 & 22818 & 29442.3092783505 & -6624.30927835052 \tabularnewline
277 & 32689 & 20455.7333333333 & 12233.2666666667 \tabularnewline
278 & 5752 & 5251.05555555556 & 500.944444444444 \tabularnewline
279 & 22197 & 29442.3092783505 & -7245.30927835052 \tabularnewline
280 & 20055 & 29442.3092783505 & -9387.30927835052 \tabularnewline
281 & 25272 & 29442.3092783505 & -4170.30927835052 \tabularnewline
282 & 82206 & 29442.3092783505 & 52763.6907216495 \tabularnewline
283 & 32073 & 29442.3092783505 & 2630.69072164948 \tabularnewline
284 & 5444 & 5251.05555555556 & 192.944444444444 \tabularnewline
285 & 20154 & 20455.7333333333 & -301.733333333334 \tabularnewline
286 & 36944 & 29442.3092783505 & 7501.69072164948 \tabularnewline
287 & 8019 & 5251.05555555556 & 2767.94444444444 \tabularnewline
288 & 30884 & 46694.4230769231 & -15810.4230769231 \tabularnewline
289 & 19540 & 29442.3092783505 & -9902.30927835052 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160004&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]112285[/C][C]113150.510204082[/C][C]-865.510204081627[/C][/ROW]
[ROW][C]2[/C][C]84786[/C][C]87895.3191489362[/C][C]-3109.31914893616[/C][/ROW]
[ROW][C]3[/C][C]83123[/C][C]65058.8076923077[/C][C]18064.1923076923[/C][/ROW]
[ROW][C]4[/C][C]101193[/C][C]87895.3191489362[/C][C]13297.6808510638[/C][/ROW]
[ROW][C]5[/C][C]38361[/C][C]65058.8076923077[/C][C]-26697.8076923077[/C][/ROW]
[ROW][C]6[/C][C]68504[/C][C]29442.3092783505[/C][C]39061.6907216495[/C][/ROW]
[ROW][C]7[/C][C]119182[/C][C]113150.510204082[/C][C]6031.48979591837[/C][/ROW]
[ROW][C]8[/C][C]22807[/C][C]20455.7333333333[/C][C]2351.26666666667[/C][/ROW]
[ROW][C]9[/C][C]17140[/C][C]29442.3092783505[/C][C]-12302.3092783505[/C][/ROW]
[ROW][C]10[/C][C]116174[/C][C]87895.3191489362[/C][C]28278.6808510638[/C][/ROW]
[ROW][C]11[/C][C]57635[/C][C]87895.3191489362[/C][C]-30260.3191489362[/C][/ROW]
[ROW][C]12[/C][C]66198[/C][C]113150.510204082[/C][C]-46952.5102040816[/C][/ROW]
[ROW][C]13[/C][C]71701[/C][C]87895.3191489362[/C][C]-16194.3191489362[/C][/ROW]
[ROW][C]14[/C][C]57793[/C][C]75345.8181818182[/C][C]-17552.8181818182[/C][/ROW]
[ROW][C]15[/C][C]80444[/C][C]87895.3191489362[/C][C]-7451.31914893616[/C][/ROW]
[ROW][C]16[/C][C]53855[/C][C]65058.8076923077[/C][C]-11203.8076923077[/C][/ROW]
[ROW][C]17[/C][C]97668[/C][C]113150.510204082[/C][C]-15482.5102040816[/C][/ROW]
[ROW][C]18[/C][C]133824[/C][C]113150.510204082[/C][C]20673.4897959184[/C][/ROW]
[ROW][C]19[/C][C]101481[/C][C]87895.3191489362[/C][C]13585.6808510638[/C][/ROW]
[ROW][C]20[/C][C]99645[/C][C]87895.3191489362[/C][C]11749.6808510638[/C][/ROW]
[ROW][C]21[/C][C]114789[/C][C]87895.3191489362[/C][C]26893.6808510638[/C][/ROW]
[ROW][C]22[/C][C]99052[/C][C]113150.510204082[/C][C]-14098.5102040816[/C][/ROW]
[ROW][C]23[/C][C]67654[/C][C]113150.510204082[/C][C]-45496.5102040816[/C][/ROW]
[ROW][C]24[/C][C]65553[/C][C]65058.8076923077[/C][C]494.192307692305[/C][/ROW]
[ROW][C]25[/C][C]97500[/C][C]87895.3191489362[/C][C]9604.68085106384[/C][/ROW]
[ROW][C]26[/C][C]69112[/C][C]87895.3191489362[/C][C]-18783.3191489362[/C][/ROW]
[ROW][C]27[/C][C]82753[/C][C]87895.3191489362[/C][C]-5142.31914893616[/C][/ROW]
[ROW][C]28[/C][C]85323[/C][C]113150.510204082[/C][C]-27827.5102040816[/C][/ROW]
[ROW][C]29[/C][C]72654[/C][C]113150.510204082[/C][C]-40496.5102040816[/C][/ROW]
[ROW][C]30[/C][C]30727[/C][C]46694.4230769231[/C][C]-15967.4230769231[/C][/ROW]
[ROW][C]31[/C][C]77873[/C][C]113150.510204082[/C][C]-35277.5102040816[/C][/ROW]
[ROW][C]32[/C][C]117478[/C][C]113150.510204082[/C][C]4327.48979591837[/C][/ROW]
[ROW][C]33[/C][C]74007[/C][C]65058.8076923077[/C][C]8948.1923076923[/C][/ROW]
[ROW][C]34[/C][C]90183[/C][C]113150.510204082[/C][C]-22967.5102040816[/C][/ROW]
[ROW][C]35[/C][C]61542[/C][C]75345.8181818182[/C][C]-13803.8181818182[/C][/ROW]
[ROW][C]36[/C][C]101494[/C][C]113150.510204082[/C][C]-11656.5102040816[/C][/ROW]
[ROW][C]37[/C][C]27570[/C][C]29442.3092783505[/C][C]-1872.30927835052[/C][/ROW]
[ROW][C]38[/C][C]55813[/C][C]65058.8076923077[/C][C]-9245.8076923077[/C][/ROW]
[ROW][C]39[/C][C]79215[/C][C]113150.510204082[/C][C]-33935.5102040816[/C][/ROW]
[ROW][C]40[/C][C]1423[/C][C]5251.05555555556[/C][C]-3828.05555555556[/C][/ROW]
[ROW][C]41[/C][C]55461[/C][C]87895.3191489362[/C][C]-32434.3191489362[/C][/ROW]
[ROW][C]42[/C][C]31081[/C][C]29442.3092783505[/C][C]1638.69072164948[/C][/ROW]
[ROW][C]43[/C][C]22996[/C][C]29442.3092783505[/C][C]-6446.30927835052[/C][/ROW]
[ROW][C]44[/C][C]83122[/C][C]113150.510204082[/C][C]-30028.5102040816[/C][/ROW]
[ROW][C]45[/C][C]70106[/C][C]87895.3191489362[/C][C]-17789.3191489362[/C][/ROW]
[ROW][C]46[/C][C]60578[/C][C]65058.8076923077[/C][C]-4480.8076923077[/C][/ROW]
[ROW][C]47[/C][C]39992[/C][C]46694.4230769231[/C][C]-6702.42307692308[/C][/ROW]
[ROW][C]48[/C][C]79892[/C][C]87895.3191489362[/C][C]-8003.31914893616[/C][/ROW]
[ROW][C]49[/C][C]49810[/C][C]46694.4230769231[/C][C]3115.57692307692[/C][/ROW]
[ROW][C]50[/C][C]71570[/C][C]65058.8076923077[/C][C]6511.1923076923[/C][/ROW]
[ROW][C]51[/C][C]100708[/C][C]65058.8076923077[/C][C]35649.1923076923[/C][/ROW]
[ROW][C]52[/C][C]33032[/C][C]29442.3092783505[/C][C]3589.69072164948[/C][/ROW]
[ROW][C]53[/C][C]82875[/C][C]87895.3191489362[/C][C]-5020.31914893616[/C][/ROW]
[ROW][C]54[/C][C]139077[/C][C]113150.510204082[/C][C]25926.4897959184[/C][/ROW]
[ROW][C]55[/C][C]71595[/C][C]87895.3191489362[/C][C]-16300.3191489362[/C][/ROW]
[ROW][C]56[/C][C]72260[/C][C]113150.510204082[/C][C]-40890.5102040816[/C][/ROW]
[ROW][C]57[/C][C]5950[/C][C]5251.05555555556[/C][C]698.944444444444[/C][/ROW]
[ROW][C]58[/C][C]115762[/C][C]113150.510204082[/C][C]2611.48979591837[/C][/ROW]
[ROW][C]59[/C][C]32551[/C][C]29442.3092783505[/C][C]3108.69072164948[/C][/ROW]
[ROW][C]60[/C][C]31701[/C][C]29442.3092783505[/C][C]2258.69072164948[/C][/ROW]
[ROW][C]61[/C][C]80670[/C][C]87895.3191489362[/C][C]-7225.31914893616[/C][/ROW]
[ROW][C]62[/C][C]143558[/C][C]113150.510204082[/C][C]30407.4897959184[/C][/ROW]
[ROW][C]63[/C][C]117105[/C][C]113150.510204082[/C][C]3954.48979591837[/C][/ROW]
[ROW][C]64[/C][C]23789[/C][C]29442.3092783505[/C][C]-5653.30927835052[/C][/ROW]
[ROW][C]65[/C][C]120733[/C][C]113150.510204082[/C][C]7582.48979591837[/C][/ROW]
[ROW][C]66[/C][C]105195[/C][C]113150.510204082[/C][C]-7955.51020408163[/C][/ROW]
[ROW][C]67[/C][C]73107[/C][C]75345.8181818182[/C][C]-2238.81818181818[/C][/ROW]
[ROW][C]68[/C][C]132068[/C][C]113150.510204082[/C][C]18917.4897959184[/C][/ROW]
[ROW][C]69[/C][C]149193[/C][C]113150.510204082[/C][C]36042.4897959184[/C][/ROW]
[ROW][C]70[/C][C]46821[/C][C]65058.8076923077[/C][C]-18237.8076923077[/C][/ROW]
[ROW][C]71[/C][C]87011[/C][C]87895.3191489362[/C][C]-884.319148936163[/C][/ROW]
[ROW][C]72[/C][C]95260[/C][C]113150.510204082[/C][C]-17890.5102040816[/C][/ROW]
[ROW][C]73[/C][C]55183[/C][C]87895.3191489362[/C][C]-32712.3191489362[/C][/ROW]
[ROW][C]74[/C][C]106671[/C][C]87895.3191489362[/C][C]18775.6808510638[/C][/ROW]
[ROW][C]75[/C][C]73511[/C][C]87895.3191489362[/C][C]-14384.3191489362[/C][/ROW]
[ROW][C]76[/C][C]92945[/C][C]87895.3191489362[/C][C]5049.68085106384[/C][/ROW]
[ROW][C]77[/C][C]78664[/C][C]87895.3191489362[/C][C]-9231.31914893616[/C][/ROW]
[ROW][C]78[/C][C]70054[/C][C]65058.8076923077[/C][C]4995.1923076923[/C][/ROW]
[ROW][C]79[/C][C]22618[/C][C]29442.3092783505[/C][C]-6824.30927835052[/C][/ROW]
[ROW][C]80[/C][C]74011[/C][C]87895.3191489362[/C][C]-13884.3191489362[/C][/ROW]
[ROW][C]81[/C][C]83737[/C][C]87895.3191489362[/C][C]-4158.31914893616[/C][/ROW]
[ROW][C]82[/C][C]69094[/C][C]87895.3191489362[/C][C]-18801.3191489362[/C][/ROW]
[ROW][C]83[/C][C]93133[/C][C]87895.3191489362[/C][C]5237.68085106384[/C][/ROW]
[ROW][C]84[/C][C]95536[/C][C]113150.510204082[/C][C]-17614.5102040816[/C][/ROW]
[ROW][C]85[/C][C]225920[/C][C]113150.510204082[/C][C]112769.489795918[/C][/ROW]
[ROW][C]86[/C][C]62133[/C][C]75345.8181818182[/C][C]-13212.8181818182[/C][/ROW]
[ROW][C]87[/C][C]61370[/C][C]75345.8181818182[/C][C]-13975.8181818182[/C][/ROW]
[ROW][C]88[/C][C]43836[/C][C]46694.4230769231[/C][C]-2858.42307692308[/C][/ROW]
[ROW][C]89[/C][C]106117[/C][C]113150.510204082[/C][C]-7033.51020408163[/C][/ROW]
[ROW][C]90[/C][C]38692[/C][C]65058.8076923077[/C][C]-26366.8076923077[/C][/ROW]
[ROW][C]91[/C][C]84651[/C][C]87895.3191489362[/C][C]-3244.31914893616[/C][/ROW]
[ROW][C]92[/C][C]56622[/C][C]46694.4230769231[/C][C]9927.57692307692[/C][/ROW]
[ROW][C]93[/C][C]15986[/C][C]29442.3092783505[/C][C]-13456.3092783505[/C][/ROW]
[ROW][C]94[/C][C]95364[/C][C]87895.3191489362[/C][C]7468.68085106384[/C][/ROW]
[ROW][C]95[/C][C]26706[/C][C]29442.3092783505[/C][C]-2736.30927835052[/C][/ROW]
[ROW][C]96[/C][C]89691[/C][C]87895.3191489362[/C][C]1795.68085106384[/C][/ROW]
[ROW][C]97[/C][C]67267[/C][C]113150.510204082[/C][C]-45883.5102040816[/C][/ROW]
[ROW][C]98[/C][C]126846[/C][C]87895.3191489362[/C][C]38950.6808510638[/C][/ROW]
[ROW][C]99[/C][C]41140[/C][C]65058.8076923077[/C][C]-23918.8076923077[/C][/ROW]
[ROW][C]100[/C][C]102860[/C][C]87895.3191489362[/C][C]14964.6808510638[/C][/ROW]
[ROW][C]101[/C][C]51715[/C][C]65058.8076923077[/C][C]-13343.8076923077[/C][/ROW]
[ROW][C]102[/C][C]55801[/C][C]65058.8076923077[/C][C]-9257.8076923077[/C][/ROW]
[ROW][C]103[/C][C]111813[/C][C]87895.3191489362[/C][C]23917.6808510638[/C][/ROW]
[ROW][C]104[/C][C]120293[/C][C]87895.3191489362[/C][C]32397.6808510638[/C][/ROW]
[ROW][C]105[/C][C]138599[/C][C]113150.510204082[/C][C]25448.4897959184[/C][/ROW]
[ROW][C]106[/C][C]161647[/C][C]113150.510204082[/C][C]48496.4897959184[/C][/ROW]
[ROW][C]107[/C][C]115929[/C][C]113150.510204082[/C][C]2778.48979591837[/C][/ROW]
[ROW][C]108[/C][C]24266[/C][C]29442.3092783505[/C][C]-5176.30927835052[/C][/ROW]
[ROW][C]109[/C][C]162901[/C][C]113150.510204082[/C][C]49750.4897959184[/C][/ROW]
[ROW][C]110[/C][C]109825[/C][C]87895.3191489362[/C][C]21929.6808510638[/C][/ROW]
[ROW][C]111[/C][C]129838[/C][C]113150.510204082[/C][C]16687.4897959184[/C][/ROW]
[ROW][C]112[/C][C]37510[/C][C]46694.4230769231[/C][C]-9184.42307692308[/C][/ROW]
[ROW][C]113[/C][C]43750[/C][C]29442.3092783505[/C][C]14307.6907216495[/C][/ROW]
[ROW][C]114[/C][C]40652[/C][C]65058.8076923077[/C][C]-24406.8076923077[/C][/ROW]
[ROW][C]115[/C][C]87771[/C][C]87895.3191489362[/C][C]-124.319148936163[/C][/ROW]
[ROW][C]116[/C][C]85872[/C][C]87895.3191489362[/C][C]-2023.31914893616[/C][/ROW]
[ROW][C]117[/C][C]89275[/C][C]87895.3191489362[/C][C]1379.68085106384[/C][/ROW]
[ROW][C]118[/C][C]44418[/C][C]65058.8076923077[/C][C]-20640.8076923077[/C][/ROW]
[ROW][C]119[/C][C]192565[/C][C]113150.510204082[/C][C]79414.4897959184[/C][/ROW]
[ROW][C]120[/C][C]35232[/C][C]29442.3092783505[/C][C]5789.69072164948[/C][/ROW]
[ROW][C]121[/C][C]40909[/C][C]46694.4230769231[/C][C]-5785.42307692308[/C][/ROW]
[ROW][C]122[/C][C]13294[/C][C]29442.3092783505[/C][C]-16148.3092783505[/C][/ROW]
[ROW][C]123[/C][C]32387[/C][C]46694.4230769231[/C][C]-14307.4230769231[/C][/ROW]
[ROW][C]124[/C][C]140867[/C][C]65058.8076923077[/C][C]75808.1923076923[/C][/ROW]
[ROW][C]125[/C][C]120662[/C][C]113150.510204082[/C][C]7511.48979591837[/C][/ROW]
[ROW][C]126[/C][C]21233[/C][C]29442.3092783505[/C][C]-8209.30927835052[/C][/ROW]
[ROW][C]127[/C][C]44332[/C][C]29442.3092783505[/C][C]14889.6907216495[/C][/ROW]
[ROW][C]128[/C][C]61056[/C][C]75345.8181818182[/C][C]-14289.8181818182[/C][/ROW]
[ROW][C]129[/C][C]101338[/C][C]87895.3191489362[/C][C]13442.6808510638[/C][/ROW]
[ROW][C]130[/C][C]1168[/C][C]5251.05555555556[/C][C]-4083.05555555556[/C][/ROW]
[ROW][C]131[/C][C]13497[/C][C]5251.05555555556[/C][C]8245.94444444445[/C][/ROW]
[ROW][C]132[/C][C]65567[/C][C]87895.3191489362[/C][C]-22328.3191489362[/C][/ROW]
[ROW][C]133[/C][C]25162[/C][C]29442.3092783505[/C][C]-4280.30927835052[/C][/ROW]
[ROW][C]134[/C][C]32334[/C][C]29442.3092783505[/C][C]2891.69072164948[/C][/ROW]
[ROW][C]135[/C][C]40735[/C][C]75345.8181818182[/C][C]-34610.8181818182[/C][/ROW]
[ROW][C]136[/C][C]91413[/C][C]113150.510204082[/C][C]-21737.5102040816[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]5251.05555555556[/C][C]-4396.05555555556[/C][/ROW]
[ROW][C]138[/C][C]97068[/C][C]65058.8076923077[/C][C]32009.1923076923[/C][/ROW]
[ROW][C]139[/C][C]44339[/C][C]29442.3092783505[/C][C]14896.6907216495[/C][/ROW]
[ROW][C]140[/C][C]14116[/C][C]29442.3092783505[/C][C]-15326.3092783505[/C][/ROW]
[ROW][C]141[/C][C]10288[/C][C]20455.7333333333[/C][C]-10167.7333333333[/C][/ROW]
[ROW][C]142[/C][C]65622[/C][C]65058.8076923077[/C][C]563.192307692305[/C][/ROW]
[ROW][C]143[/C][C]16563[/C][C]20455.7333333333[/C][C]-3892.73333333333[/C][/ROW]
[ROW][C]144[/C][C]76643[/C][C]113150.510204082[/C][C]-36507.5102040816[/C][/ROW]
[ROW][C]145[/C][C]110681[/C][C]87895.3191489362[/C][C]22785.6808510638[/C][/ROW]
[ROW][C]146[/C][C]29011[/C][C]29442.3092783505[/C][C]-431.309278350516[/C][/ROW]
[ROW][C]147[/C][C]92696[/C][C]75345.8181818182[/C][C]17350.1818181818[/C][/ROW]
[ROW][C]148[/C][C]94785[/C][C]46694.4230769231[/C][C]48090.5769230769[/C][/ROW]
[ROW][C]149[/C][C]8773[/C][C]5251.05555555556[/C][C]3521.94444444444[/C][/ROW]
[ROW][C]150[/C][C]83209[/C][C]75345.8181818182[/C][C]7863.18181818182[/C][/ROW]
[ROW][C]151[/C][C]93815[/C][C]113150.510204082[/C][C]-19335.5102040816[/C][/ROW]
[ROW][C]152[/C][C]86687[/C][C]87895.3191489362[/C][C]-1208.31914893616[/C][/ROW]
[ROW][C]153[/C][C]34553[/C][C]29442.3092783505[/C][C]5110.69072164948[/C][/ROW]
[ROW][C]154[/C][C]105547[/C][C]113150.510204082[/C][C]-7603.51020408163[/C][/ROW]
[ROW][C]155[/C][C]103487[/C][C]113150.510204082[/C][C]-9663.51020408163[/C][/ROW]
[ROW][C]156[/C][C]213688[/C][C]113150.510204082[/C][C]100537.489795918[/C][/ROW]
[ROW][C]157[/C][C]71220[/C][C]87895.3191489362[/C][C]-16675.3191489362[/C][/ROW]
[ROW][C]158[/C][C]23517[/C][C]29442.3092783505[/C][C]-5925.30927835052[/C][/ROW]
[ROW][C]159[/C][C]56926[/C][C]29442.3092783505[/C][C]27483.6907216495[/C][/ROW]
[ROW][C]160[/C][C]91721[/C][C]87895.3191489362[/C][C]3825.68085106384[/C][/ROW]
[ROW][C]161[/C][C]115168[/C][C]113150.510204082[/C][C]2017.48979591837[/C][/ROW]
[ROW][C]162[/C][C]111194[/C][C]75345.8181818182[/C][C]35848.1818181818[/C][/ROW]
[ROW][C]163[/C][C]51009[/C][C]46694.4230769231[/C][C]4314.57692307692[/C][/ROW]
[ROW][C]164[/C][C]135777[/C][C]113150.510204082[/C][C]22626.4897959184[/C][/ROW]
[ROW][C]165[/C][C]51513[/C][C]46694.4230769231[/C][C]4818.57692307692[/C][/ROW]
[ROW][C]166[/C][C]74163[/C][C]113150.510204082[/C][C]-38987.5102040816[/C][/ROW]
[ROW][C]167[/C][C]51633[/C][C]65058.8076923077[/C][C]-13425.8076923077[/C][/ROW]
[ROW][C]168[/C][C]75345[/C][C]46694.4230769231[/C][C]28650.5769230769[/C][/ROW]
[ROW][C]169[/C][C]33416[/C][C]65058.8076923077[/C][C]-31642.8076923077[/C][/ROW]
[ROW][C]170[/C][C]83305[/C][C]65058.8076923077[/C][C]18246.1923076923[/C][/ROW]
[ROW][C]171[/C][C]98952[/C][C]65058.8076923077[/C][C]33893.1923076923[/C][/ROW]
[ROW][C]172[/C][C]102372[/C][C]87895.3191489362[/C][C]14476.6808510638[/C][/ROW]
[ROW][C]173[/C][C]37238[/C][C]20455.7333333333[/C][C]16782.2666666667[/C][/ROW]
[ROW][C]174[/C][C]103772[/C][C]113150.510204082[/C][C]-9378.51020408163[/C][/ROW]
[ROW][C]175[/C][C]123969[/C][C]75345.8181818182[/C][C]48623.1818181818[/C][/ROW]
[ROW][C]176[/C][C]27142[/C][C]29442.3092783505[/C][C]-2300.30927835052[/C][/ROW]
[ROW][C]177[/C][C]135400[/C][C]113150.510204082[/C][C]22249.4897959184[/C][/ROW]
[ROW][C]178[/C][C]21399[/C][C]29442.3092783505[/C][C]-8043.30927835052[/C][/ROW]
[ROW][C]179[/C][C]130115[/C][C]113150.510204082[/C][C]16964.4897959184[/C][/ROW]
[ROW][C]180[/C][C]24874[/C][C]29442.3092783505[/C][C]-4568.30927835052[/C][/ROW]
[ROW][C]181[/C][C]34988[/C][C]29442.3092783505[/C][C]5545.69072164948[/C][/ROW]
[ROW][C]182[/C][C]45549[/C][C]20455.7333333333[/C][C]25093.2666666667[/C][/ROW]
[ROW][C]183[/C][C]6023[/C][C]5251.05555555556[/C][C]771.944444444444[/C][/ROW]
[ROW][C]184[/C][C]64466[/C][C]65058.8076923077[/C][C]-592.807692307695[/C][/ROW]
[ROW][C]185[/C][C]54990[/C][C]113150.510204082[/C][C]-58160.5102040816[/C][/ROW]
[ROW][C]186[/C][C]1644[/C][C]5251.05555555556[/C][C]-3607.05555555556[/C][/ROW]
[ROW][C]187[/C][C]6179[/C][C]5251.05555555556[/C][C]927.944444444444[/C][/ROW]
[ROW][C]188[/C][C]3926[/C][C]5251.05555555556[/C][C]-1325.05555555556[/C][/ROW]
[ROW][C]189[/C][C]32755[/C][C]46694.4230769231[/C][C]-13939.4230769231[/C][/ROW]
[ROW][C]190[/C][C]34777[/C][C]29442.3092783505[/C][C]5334.69072164948[/C][/ROW]
[ROW][C]191[/C][C]73224[/C][C]46694.4230769231[/C][C]26529.5769230769[/C][/ROW]
[ROW][C]192[/C][C]27114[/C][C]29442.3092783505[/C][C]-2328.30927835052[/C][/ROW]
[ROW][C]193[/C][C]20760[/C][C]29442.3092783505[/C][C]-8682.30927835052[/C][/ROW]
[ROW][C]194[/C][C]37636[/C][C]29442.3092783505[/C][C]8193.69072164948[/C][/ROW]
[ROW][C]195[/C][C]65461[/C][C]87895.3191489362[/C][C]-22434.3191489362[/C][/ROW]
[ROW][C]196[/C][C]30080[/C][C]46694.4230769231[/C][C]-16614.4230769231[/C][/ROW]
[ROW][C]197[/C][C]24094[/C][C]29442.3092783505[/C][C]-5348.30927835052[/C][/ROW]
[ROW][C]198[/C][C]69008[/C][C]46694.4230769231[/C][C]22313.5769230769[/C][/ROW]
[ROW][C]199[/C][C]54968[/C][C]46694.4230769231[/C][C]8273.57692307692[/C][/ROW]
[ROW][C]200[/C][C]46090[/C][C]46694.4230769231[/C][C]-604.423076923078[/C][/ROW]
[ROW][C]201[/C][C]27507[/C][C]29442.3092783505[/C][C]-1935.30927835052[/C][/ROW]
[ROW][C]202[/C][C]10672[/C][C]29442.3092783505[/C][C]-18770.3092783505[/C][/ROW]
[ROW][C]203[/C][C]34029[/C][C]29442.3092783505[/C][C]4586.69072164948[/C][/ROW]
[ROW][C]204[/C][C]46300[/C][C]29442.3092783505[/C][C]16857.6907216495[/C][/ROW]
[ROW][C]205[/C][C]24760[/C][C]29442.3092783505[/C][C]-4682.30927835052[/C][/ROW]
[ROW][C]206[/C][C]18779[/C][C]20455.7333333333[/C][C]-1676.73333333333[/C][/ROW]
[ROW][C]207[/C][C]21280[/C][C]29442.3092783505[/C][C]-8162.30927835052[/C][/ROW]
[ROW][C]208[/C][C]40662[/C][C]29442.3092783505[/C][C]11219.6907216495[/C][/ROW]
[ROW][C]209[/C][C]28987[/C][C]29442.3092783505[/C][C]-455.309278350516[/C][/ROW]
[ROW][C]210[/C][C]22827[/C][C]29442.3092783505[/C][C]-6615.30927835052[/C][/ROW]
[ROW][C]211[/C][C]18513[/C][C]29442.3092783505[/C][C]-10929.3092783505[/C][/ROW]
[ROW][C]212[/C][C]30594[/C][C]29442.3092783505[/C][C]1151.69072164948[/C][/ROW]
[ROW][C]213[/C][C]24006[/C][C]29442.3092783505[/C][C]-5436.30927835052[/C][/ROW]
[ROW][C]214[/C][C]27913[/C][C]29442.3092783505[/C][C]-1529.30927835052[/C][/ROW]
[ROW][C]215[/C][C]42744[/C][C]20455.7333333333[/C][C]22288.2666666667[/C][/ROW]
[ROW][C]216[/C][C]12934[/C][C]20455.7333333333[/C][C]-7521.73333333333[/C][/ROW]
[ROW][C]217[/C][C]22574[/C][C]29442.3092783505[/C][C]-6868.30927835052[/C][/ROW]
[ROW][C]218[/C][C]41385[/C][C]29442.3092783505[/C][C]11942.6907216495[/C][/ROW]
[ROW][C]219[/C][C]18653[/C][C]29442.3092783505[/C][C]-10789.3092783505[/C][/ROW]
[ROW][C]220[/C][C]18472[/C][C]20455.7333333333[/C][C]-1983.73333333333[/C][/ROW]
[ROW][C]221[/C][C]30976[/C][C]29442.3092783505[/C][C]1533.69072164948[/C][/ROW]
[ROW][C]222[/C][C]63339[/C][C]65058.8076923077[/C][C]-1719.8076923077[/C][/ROW]
[ROW][C]223[/C][C]25568[/C][C]46694.4230769231[/C][C]-21126.4230769231[/C][/ROW]
[ROW][C]224[/C][C]33747[/C][C]29442.3092783505[/C][C]4304.69072164948[/C][/ROW]
[ROW][C]225[/C][C]4154[/C][C]20455.7333333333[/C][C]-16301.7333333333[/C][/ROW]
[ROW][C]226[/C][C]19474[/C][C]46694.4230769231[/C][C]-27220.4230769231[/C][/ROW]
[ROW][C]227[/C][C]35130[/C][C]29442.3092783505[/C][C]5687.69072164948[/C][/ROW]
[ROW][C]228[/C][C]39067[/C][C]46694.4230769231[/C][C]-7627.42307692308[/C][/ROW]
[ROW][C]229[/C][C]13310[/C][C]29442.3092783505[/C][C]-16132.3092783505[/C][/ROW]
[ROW][C]230[/C][C]65892[/C][C]29442.3092783505[/C][C]36449.6907216495[/C][/ROW]
[ROW][C]231[/C][C]4143[/C][C]20455.7333333333[/C][C]-16312.7333333333[/C][/ROW]
[ROW][C]232[/C][C]28579[/C][C]29442.3092783505[/C][C]-863.309278350516[/C][/ROW]
[ROW][C]233[/C][C]51776[/C][C]29442.3092783505[/C][C]22333.6907216495[/C][/ROW]
[ROW][C]234[/C][C]21152[/C][C]29442.3092783505[/C][C]-8290.30927835052[/C][/ROW]
[ROW][C]235[/C][C]38084[/C][C]29442.3092783505[/C][C]8641.69072164948[/C][/ROW]
[ROW][C]236[/C][C]27717[/C][C]29442.3092783505[/C][C]-1725.30927835052[/C][/ROW]
[ROW][C]237[/C][C]32928[/C][C]29442.3092783505[/C][C]3485.69072164948[/C][/ROW]
[ROW][C]238[/C][C]11342[/C][C]29442.3092783505[/C][C]-18100.3092783505[/C][/ROW]
[ROW][C]239[/C][C]19499[/C][C]29442.3092783505[/C][C]-9943.30927835052[/C][/ROW]
[ROW][C]240[/C][C]16380[/C][C]29442.3092783505[/C][C]-13062.3092783505[/C][/ROW]
[ROW][C]241[/C][C]36874[/C][C]29442.3092783505[/C][C]7431.69072164948[/C][/ROW]
[ROW][C]242[/C][C]48259[/C][C]46694.4230769231[/C][C]1564.57692307692[/C][/ROW]
[ROW][C]243[/C][C]16734[/C][C]29442.3092783505[/C][C]-12708.3092783505[/C][/ROW]
[ROW][C]244[/C][C]28207[/C][C]29442.3092783505[/C][C]-1235.30927835052[/C][/ROW]
[ROW][C]245[/C][C]30143[/C][C]29442.3092783505[/C][C]700.690721649484[/C][/ROW]
[ROW][C]246[/C][C]41369[/C][C]29442.3092783505[/C][C]11926.6907216495[/C][/ROW]
[ROW][C]247[/C][C]45833[/C][C]46694.4230769231[/C][C]-861.423076923078[/C][/ROW]
[ROW][C]248[/C][C]29156[/C][C]29442.3092783505[/C][C]-286.309278350516[/C][/ROW]
[ROW][C]249[/C][C]35944[/C][C]29442.3092783505[/C][C]6501.69072164948[/C][/ROW]
[ROW][C]250[/C][C]36278[/C][C]29442.3092783505[/C][C]6835.69072164948[/C][/ROW]
[ROW][C]251[/C][C]45588[/C][C]29442.3092783505[/C][C]16145.6907216495[/C][/ROW]
[ROW][C]252[/C][C]45097[/C][C]46694.4230769231[/C][C]-1597.42307692308[/C][/ROW]
[ROW][C]253[/C][C]3895[/C][C]5251.05555555556[/C][C]-1356.05555555556[/C][/ROW]
[ROW][C]254[/C][C]28394[/C][C]29442.3092783505[/C][C]-1048.30927835052[/C][/ROW]
[ROW][C]255[/C][C]18632[/C][C]29442.3092783505[/C][C]-10810.3092783505[/C][/ROW]
[ROW][C]256[/C][C]2325[/C][C]5251.05555555556[/C][C]-2926.05555555556[/C][/ROW]
[ROW][C]257[/C][C]25139[/C][C]29442.3092783505[/C][C]-4303.30927835052[/C][/ROW]
[ROW][C]258[/C][C]27975[/C][C]29442.3092783505[/C][C]-1467.30927835052[/C][/ROW]
[ROW][C]259[/C][C]14483[/C][C]20455.7333333333[/C][C]-5972.73333333333[/C][/ROW]
[ROW][C]260[/C][C]13127[/C][C]5251.05555555556[/C][C]7875.94444444444[/C][/ROW]
[ROW][C]261[/C][C]5839[/C][C]20455.7333333333[/C][C]-14616.7333333333[/C][/ROW]
[ROW][C]262[/C][C]24069[/C][C]29442.3092783505[/C][C]-5373.30927835052[/C][/ROW]
[ROW][C]263[/C][C]3738[/C][C]5251.05555555556[/C][C]-1513.05555555556[/C][/ROW]
[ROW][C]264[/C][C]18625[/C][C]29442.3092783505[/C][C]-10817.3092783505[/C][/ROW]
[ROW][C]265[/C][C]36341[/C][C]29442.3092783505[/C][C]6898.69072164948[/C][/ROW]
[ROW][C]266[/C][C]24548[/C][C]29442.3092783505[/C][C]-4894.30927835052[/C][/ROW]
[ROW][C]267[/C][C]21792[/C][C]29442.3092783505[/C][C]-7650.30927835052[/C][/ROW]
[ROW][C]268[/C][C]26263[/C][C]29442.3092783505[/C][C]-3179.30927835052[/C][/ROW]
[ROW][C]269[/C][C]23686[/C][C]29442.3092783505[/C][C]-5756.30927835052[/C][/ROW]
[ROW][C]270[/C][C]49303[/C][C]46694.4230769231[/C][C]2608.57692307692[/C][/ROW]
[ROW][C]271[/C][C]25659[/C][C]29442.3092783505[/C][C]-3783.30927835052[/C][/ROW]
[ROW][C]272[/C][C]28904[/C][C]29442.3092783505[/C][C]-538.309278350516[/C][/ROW]
[ROW][C]273[/C][C]2781[/C][C]5251.05555555556[/C][C]-2470.05555555556[/C][/ROW]
[ROW][C]274[/C][C]29236[/C][C]29442.3092783505[/C][C]-206.309278350516[/C][/ROW]
[ROW][C]275[/C][C]19546[/C][C]29442.3092783505[/C][C]-9896.30927835052[/C][/ROW]
[ROW][C]276[/C][C]22818[/C][C]29442.3092783505[/C][C]-6624.30927835052[/C][/ROW]
[ROW][C]277[/C][C]32689[/C][C]20455.7333333333[/C][C]12233.2666666667[/C][/ROW]
[ROW][C]278[/C][C]5752[/C][C]5251.05555555556[/C][C]500.944444444444[/C][/ROW]
[ROW][C]279[/C][C]22197[/C][C]29442.3092783505[/C][C]-7245.30927835052[/C][/ROW]
[ROW][C]280[/C][C]20055[/C][C]29442.3092783505[/C][C]-9387.30927835052[/C][/ROW]
[ROW][C]281[/C][C]25272[/C][C]29442.3092783505[/C][C]-4170.30927835052[/C][/ROW]
[ROW][C]282[/C][C]82206[/C][C]29442.3092783505[/C][C]52763.6907216495[/C][/ROW]
[ROW][C]283[/C][C]32073[/C][C]29442.3092783505[/C][C]2630.69072164948[/C][/ROW]
[ROW][C]284[/C][C]5444[/C][C]5251.05555555556[/C][C]192.944444444444[/C][/ROW]
[ROW][C]285[/C][C]20154[/C][C]20455.7333333333[/C][C]-301.733333333334[/C][/ROW]
[ROW][C]286[/C][C]36944[/C][C]29442.3092783505[/C][C]7501.69072164948[/C][/ROW]
[ROW][C]287[/C][C]8019[/C][C]5251.05555555556[/C][C]2767.94444444444[/C][/ROW]
[ROW][C]288[/C][C]30884[/C][C]46694.4230769231[/C][C]-15810.4230769231[/C][/ROW]
[ROW][C]289[/C][C]19540[/C][C]29442.3092783505[/C][C]-9902.30927835052[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160004&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160004&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1112285113150.510204082-865.510204081627
28478687895.3191489362-3109.31914893616
38312365058.807692307718064.1923076923
410119387895.319148936213297.6808510638
53836165058.8076923077-26697.8076923077
66850429442.309278350539061.6907216495
7119182113150.5102040826031.48979591837
82280720455.73333333332351.26666666667
91714029442.3092783505-12302.3092783505
1011617487895.319148936228278.6808510638
115763587895.3191489362-30260.3191489362
1266198113150.510204082-46952.5102040816
137170187895.3191489362-16194.3191489362
145779375345.8181818182-17552.8181818182
158044487895.3191489362-7451.31914893616
165385565058.8076923077-11203.8076923077
1797668113150.510204082-15482.5102040816
18133824113150.51020408220673.4897959184
1910148187895.319148936213585.6808510638
209964587895.319148936211749.6808510638
2111478987895.319148936226893.6808510638
2299052113150.510204082-14098.5102040816
2367654113150.510204082-45496.5102040816
246555365058.8076923077494.192307692305
259750087895.31914893629604.68085106384
266911287895.3191489362-18783.3191489362
278275387895.3191489362-5142.31914893616
2885323113150.510204082-27827.5102040816
2972654113150.510204082-40496.5102040816
303072746694.4230769231-15967.4230769231
3177873113150.510204082-35277.5102040816
32117478113150.5102040824327.48979591837
337400765058.80769230778948.1923076923
3490183113150.510204082-22967.5102040816
356154275345.8181818182-13803.8181818182
36101494113150.510204082-11656.5102040816
372757029442.3092783505-1872.30927835052
385581365058.8076923077-9245.8076923077
3979215113150.510204082-33935.5102040816
4014235251.05555555556-3828.05555555556
415546187895.3191489362-32434.3191489362
423108129442.30927835051638.69072164948
432299629442.3092783505-6446.30927835052
4483122113150.510204082-30028.5102040816
457010687895.3191489362-17789.3191489362
466057865058.8076923077-4480.8076923077
473999246694.4230769231-6702.42307692308
487989287895.3191489362-8003.31914893616
494981046694.42307692313115.57692307692
507157065058.80769230776511.1923076923
5110070865058.807692307735649.1923076923
523303229442.30927835053589.69072164948
538287587895.3191489362-5020.31914893616
54139077113150.51020408225926.4897959184
557159587895.3191489362-16300.3191489362
5672260113150.510204082-40890.5102040816
5759505251.05555555556698.944444444444
58115762113150.5102040822611.48979591837
593255129442.30927835053108.69072164948
603170129442.30927835052258.69072164948
618067087895.3191489362-7225.31914893616
62143558113150.51020408230407.4897959184
63117105113150.5102040823954.48979591837
642378929442.3092783505-5653.30927835052
65120733113150.5102040827582.48979591837
66105195113150.510204082-7955.51020408163
677310775345.8181818182-2238.81818181818
68132068113150.51020408218917.4897959184
69149193113150.51020408236042.4897959184
704682165058.8076923077-18237.8076923077
718701187895.3191489362-884.319148936163
7295260113150.510204082-17890.5102040816
735518387895.3191489362-32712.3191489362
7410667187895.319148936218775.6808510638
757351187895.3191489362-14384.3191489362
769294587895.31914893625049.68085106384
777866487895.3191489362-9231.31914893616
787005465058.80769230774995.1923076923
792261829442.3092783505-6824.30927835052
807401187895.3191489362-13884.3191489362
818373787895.3191489362-4158.31914893616
826909487895.3191489362-18801.3191489362
839313387895.31914893625237.68085106384
8495536113150.510204082-17614.5102040816
85225920113150.510204082112769.489795918
866213375345.8181818182-13212.8181818182
876137075345.8181818182-13975.8181818182
884383646694.4230769231-2858.42307692308
89106117113150.510204082-7033.51020408163
903869265058.8076923077-26366.8076923077
918465187895.3191489362-3244.31914893616
925662246694.42307692319927.57692307692
931598629442.3092783505-13456.3092783505
949536487895.31914893627468.68085106384
952670629442.3092783505-2736.30927835052
968969187895.31914893621795.68085106384
9767267113150.510204082-45883.5102040816
9812684687895.319148936238950.6808510638
994114065058.8076923077-23918.8076923077
10010286087895.319148936214964.6808510638
1015171565058.8076923077-13343.8076923077
1025580165058.8076923077-9257.8076923077
10311181387895.319148936223917.6808510638
10412029387895.319148936232397.6808510638
105138599113150.51020408225448.4897959184
106161647113150.51020408248496.4897959184
107115929113150.5102040822778.48979591837
1082426629442.3092783505-5176.30927835052
109162901113150.51020408249750.4897959184
11010982587895.319148936221929.6808510638
111129838113150.51020408216687.4897959184
1123751046694.4230769231-9184.42307692308
1134375029442.309278350514307.6907216495
1144065265058.8076923077-24406.8076923077
1158777187895.3191489362-124.319148936163
1168587287895.3191489362-2023.31914893616
1178927587895.31914893621379.68085106384
1184441865058.8076923077-20640.8076923077
119192565113150.51020408279414.4897959184
1203523229442.30927835055789.69072164948
1214090946694.4230769231-5785.42307692308
1221329429442.3092783505-16148.3092783505
1233238746694.4230769231-14307.4230769231
12414086765058.807692307775808.1923076923
125120662113150.5102040827511.48979591837
1262123329442.3092783505-8209.30927835052
1274433229442.309278350514889.6907216495
1286105675345.8181818182-14289.8181818182
12910133887895.319148936213442.6808510638
13011685251.05555555556-4083.05555555556
131134975251.055555555568245.94444444445
1326556787895.3191489362-22328.3191489362
1332516229442.3092783505-4280.30927835052
1343233429442.30927835052891.69072164948
1354073575345.8181818182-34610.8181818182
13691413113150.510204082-21737.5102040816
1378555251.05555555556-4396.05555555556
1389706865058.807692307732009.1923076923
1394433929442.309278350514896.6907216495
1401411629442.3092783505-15326.3092783505
1411028820455.7333333333-10167.7333333333
1426562265058.8076923077563.192307692305
1431656320455.7333333333-3892.73333333333
14476643113150.510204082-36507.5102040816
14511068187895.319148936222785.6808510638
1462901129442.3092783505-431.309278350516
1479269675345.818181818217350.1818181818
1489478546694.423076923148090.5769230769
14987735251.055555555563521.94444444444
1508320975345.81818181827863.18181818182
15193815113150.510204082-19335.5102040816
1528668787895.3191489362-1208.31914893616
1533455329442.30927835055110.69072164948
154105547113150.510204082-7603.51020408163
155103487113150.510204082-9663.51020408163
156213688113150.510204082100537.489795918
1577122087895.3191489362-16675.3191489362
1582351729442.3092783505-5925.30927835052
1595692629442.309278350527483.6907216495
1609172187895.31914893623825.68085106384
161115168113150.5102040822017.48979591837
16211119475345.818181818235848.1818181818
1635100946694.42307692314314.57692307692
164135777113150.51020408222626.4897959184
1655151346694.42307692314818.57692307692
16674163113150.510204082-38987.5102040816
1675163365058.8076923077-13425.8076923077
1687534546694.423076923128650.5769230769
1693341665058.8076923077-31642.8076923077
1708330565058.807692307718246.1923076923
1719895265058.807692307733893.1923076923
17210237287895.319148936214476.6808510638
1733723820455.733333333316782.2666666667
174103772113150.510204082-9378.51020408163
17512396975345.818181818248623.1818181818
1762714229442.3092783505-2300.30927835052
177135400113150.51020408222249.4897959184
1782139929442.3092783505-8043.30927835052
179130115113150.51020408216964.4897959184
1802487429442.3092783505-4568.30927835052
1813498829442.30927835055545.69072164948
1824554920455.733333333325093.2666666667
18360235251.05555555556771.944444444444
1846446665058.8076923077-592.807692307695
18554990113150.510204082-58160.5102040816
18616445251.05555555556-3607.05555555556
18761795251.05555555556927.944444444444
18839265251.05555555556-1325.05555555556
1893275546694.4230769231-13939.4230769231
1903477729442.30927835055334.69072164948
1917322446694.423076923126529.5769230769
1922711429442.3092783505-2328.30927835052
1932076029442.3092783505-8682.30927835052
1943763629442.30927835058193.69072164948
1956546187895.3191489362-22434.3191489362
1963008046694.4230769231-16614.4230769231
1972409429442.3092783505-5348.30927835052
1986900846694.423076923122313.5769230769
1995496846694.42307692318273.57692307692
2004609046694.4230769231-604.423076923078
2012750729442.3092783505-1935.30927835052
2021067229442.3092783505-18770.3092783505
2033402929442.30927835054586.69072164948
2044630029442.309278350516857.6907216495
2052476029442.3092783505-4682.30927835052
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2883088446694.4230769231-15810.4230769231
2891954029442.3092783505-9902.30927835052


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = kendall ;
Parameters (R input):
par1 = 6 ; 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')
}