Initial Analysis

Summary of Game Outcomes for 2017-2018 Season (Game Level)

df <- df.games
# Maximum Number of Games in each tournament
df.game.sum <- df %>% 
  group_by(tour, game) %>% 
  summarise(Date = min(date), 
            points.scored = sum(pts.scored), 
            points.allowed = sum(pts.allowed), 
            total.points = sum(pts.tot), 
            differential = sum(pts.dif)) %>% 
  arrange(game) %>% mutate(game = as.character(game))
# game coded as character to make table more legible

kable(df.game.sum, caption = "Season Game Summary")

Season Game Summary

tour	game	Date	points.scored	points.allowed	total.points	differential
Dubai	1	2017-11-30	19	0	19	19
Dubai	2	2017-11-30	31	0	31	31
Dubai	3	2017-11-30	31	14	45	17
Dubai	4	2017-12-01	24	19	43	5
Dubai	5	2017-12-01	7	25	32	-18
Dubai	6	2017-12-01	5	10	15	-5
Sydney	7	2018-01-26	24	12	36	12
Sydney	8	2018-01-26	24	12	36	12
Sydney	9	2018-01-26	19	5	24	14
Sydney	10	2018-01-27	28	12	40	16
Sydney	11	2018-01-27	0	26	26	-26
Sydney	12	2018-01-28	40	12	52	28
Commonwealth	13	2018-04-13	29	0	29	29
Commonwealth	14	2018-04-13	24	12	36	12
Commonwealth	15	2018-04-14	7	24	31	-17
Commonwealth	16	2018-04-15	7	33	40	-26
Commonwealth	17	2018-04-15	19	24	43	-5
Kitakyushu	18	2018-04-21	38	14	52	24
Kitakyushu	19	2018-04-21	19	21	40	-2
Kitakyushu	20	2018-04-21	5	19	24	-14
Kitakyushu	21	2018-04-22	19	24	43	-5
Kitakyushu	22	2018-04-22	33	14	47	19
Langford	23	2018-05-12	7	22	29	-15
Langford	24	2018-05-12	24	10	34	14
Langford	25	2018-05-12	19	17	36	2
Langford	26	2018-05-13	26	28	54	-2
Langford	27	2018-05-13	35	12	47	23
Langford	28	2018-05-13	29	12	41	17
Paris	29	2018-06-08	31	5	36	26
Paris	30	2018-06-08	21	12	33	9
Paris	31	2018-06-08	14	31	45	-17
Paris	32	2018-06-09	26	24	50	2
Paris	33	2018-06-09	7	34	41	-27
Paris	34	2018-06-10	17	10	27	7
World Cup	35	2018-07-20	43	19	62	24
World Cup	36	2018-07-20	19	24	43	-5
World Cup	37	2018-07-21	14	26	40	-12
World Cup	38	2018-07-21	22	10	32	12

df.game.sum$game <- as.numeric(df.game.sum$game)

Summary of Game Outcomes for 2017-2018 Season (Tournament Level)

df <- df.games
# Maximum Number of Games in each tournament
df.tour.sum <- df %>% 
  group_by(tour) %>% 
  summarise(games = max(as.numeric(t.game)),  
            wins = sum(as.numeric(win)), 
            points.scored = sum(pts.scored), 
            points.allowed = sum(pts.allowed), 
            total.points = sum(pts.tot), 
            differential = sum(pts.dif))

kable(df.tour.sum, caption = "Summary of Games by Tournament")

Summary of Games by Tournament

tour	games	wins	points.scored	points.allowed	total.points	differential
Commonwealth	5	2	86	93	179	-7
Dubai	6	4	117	68	185	49
Kitakyushu	5	2	114	92	206	22
Langford	6	4	140	101	241	39
Paris	6	4	116	116	232	0
Sydney	6	5	135	79	214	56
World Cup	4	2	98	79	177	19

Paris Tournament Game Outcome Summary (Game Level)

Paris Tournament Games

V1	game	date	tour	t.game	team	opp	win	pts.scored	pts.allowed	pts.tot	pts.dif
29	29	2018-06-08	Paris	1	Canada	Russia	1	31	5	36	26
30	30	2018-06-08	Paris	2	Canada	Fiji	1	21	12	33	9
31	31	2018-06-08	Paris	3	Canada	Australia	0	14	31	45	-17
32	32	2018-06-09	Paris	4	Canada	USA	1	26	24	50	2
33	33	2018-06-09	Paris	5	Canada	New Zealand	0	7	34	41	-27
34	34	2018-06-10	Paris	6	Canada	France	1	17	10	27	7

Paris Tournament GPS Stats (Player/Tournament Level)

# Subsetting GPS data by Paris Tournament Games
df <- df.gps %>% filter(game %in% unique(df.paris$game))
out <- data.frame()

for(i in unique(df$player)){
  playerid <- df %>% 
  filter(player == i) %>% 
  arrange(game, half, time, frame) %>% 
  summarise(player = mean(player),
            avg.speed = mean(Speed),
            max.speed = max(Speed),
            avg.acc.imp = mean(AccelImpulse),
            max.imp = max(AccelImpulse),
            avg.acc.load = mean(AccelLoad),
            max.load = max(AccelLoad),
            avg.x = mean(AccelX),
            max.x = max(AccelX),
            avg.y = mean(AccelY),
            max.y = max(AccelY),
            avg.z = mean(AccelZ),
            max.z = max(AccelZ),
            avg.long = mean(Longitude),
            avg.lat = mean(Latitude))
  out <- rbind(out, playerid)
}

kable(out, caption = "Paris Tournament GPS Stats by Player")

Paris Tournament GPS Stats by Player

player	avg.speed	max.speed	avg.acc.imp	max.imp	avg.acc.load	max.load	avg.x	max.x	avg.y	max.y	avg.z	max.z	avg.long	avg.lat
1	1.5150527	8.594451	1.2444106	5.972227	0.0242791	1.063071	-0.0744742	4.04500	0.3823056	4.00375	0.6727919	4.52250	2.252900	48.84334
2	1.0218602	8.694451	0.9202541	5.972227	0.0200988	1.347796	-0.0602623	6.01000	0.5015556	5.78875	0.5394350	4.37625	2.252945	48.84302
3	1.4171195	8.425007	1.1013005	5.972227	0.0179635	1.221523	-0.0488538	5.22500	0.8428729	4.33875	0.5196867	5.33125	2.251107	48.80435
4	1.2824493	8.413896	1.2202659	5.972227	0.0202126	1.199386	-0.0124186	4.26125	0.7674203	5.11000	0.6257317	4.74625	2.252903	48.84341
5	1.0580784	9.016674	0.9633517	5.972227	0.0151998	1.483611	-0.0565854	5.36750	0.6090034	4.93125	0.4934500	5.68375	2.252971	48.84338
7	1.3008990	8.344451	1.1516587	5.972227	0.0219846	1.494362	0.1634941	4.65875	0.5290964	3.84750	0.5968538	4.00625	2.252937	48.84337
8	0.9602851	7.450006	0.8352754	5.972227	0.0154230	1.386170	-0.0430208	5.70375	0.6407763	5.93250	0.6941184	3.35125	2.252942	48.84343
11	1.1701649	8.013895	1.0005017	5.972227	0.0204329	2.072141	-0.0267823	4.90250	0.8887077	4.27250	0.5166237	5.34000	2.252949	48.84296
13	0.9643657	7.880562	0.8762931	5.972227	0.0178118	0.659939	0.0178971	4.74250	0.7782348	4.87750	0.5680227	3.86000	2.252927	48.84315
14	0.5183538	7.472228	0.5507675	5.972227	0.0097106	1.312646	0.0538304	2.73875	-0.3326955	3.22500	-0.6790397	1.13625	2.253003	48.84362
15	0.5352988	8.283340	0.5354630	5.972227	0.0093446	1.005873	-0.0925907	4.96125	0.2494101	3.44875	0.6552521	5.38875	2.252995	48.84326
16	0.7527134	7.400006	0.6828324	5.972227	0.0122758	1.881403	-0.1974931	4.70875	0.7496379	4.68500	0.6124183	3.97125	2.252977	48.84351

Paris Tournament GPS Stats (Player/Game Level)

# Subsetting GPS data by Paris Tournament Games
df <- df.gps %>% filter(game %in% unique(df.paris$game))
out <- data.frame()

for(i in unique(df$player)){
  for(k in unique(df$game)){
    playerid <- df %>% 
      filter(game == k, player == i) %>% 
      arrange(game, half, time, frame) %>% 
      summarise(player = mean(player), 
                game = mean(game),
                avg.speed = mean(Speed), 
                max.speed = max(Speed), 
                avg.acc.imp = mean(AccelImpulse), 
                max.imp = max(AccelImpulse), 
                avg.acc.load = mean(AccelLoad), 
                max.load = max(AccelLoad), 
                avg.x = mean(AccelX), 
                max.x = max(AccelX), 
                avg.y = mean(AccelY), 
                max.y = max(AccelY), 
                avg.z = mean(AccelZ), 
                max.z = max(AccelZ), 
                avg.long = mean(Longitude), 
                avg.lat = mean(Latitude)) 
    out <- rbind(out, playerid)
  }
}

kable(out, caption = "Paris Tournament GPS Stats by Player & Game")

Paris Tournament GPS Stats by Player & Game

player	game	avg.speed	max.speed	avg.acc.imp	max.imp	avg.acc.load	max.load	avg.x	max.x	avg.y	max.y	avg.z	max.z	avg.long	avg.lat
1	29	1.6070291	8.086118	1.2886174	5.972227	0.0247073	1.0630710	-0.1355145	4.04500	0.6181246	2.85000	0.7475615	2.67500	2.252817	48.84330
1	30	1.2047238	8.286118	1.0317552	5.972227	0.0203078	0.8754429	0.0980932	3.89625	-0.9654521	2.83500	0.4424833	4.52250	2.253010	48.84342
1	31	1.4736929	8.594451	1.2543969	5.972227	0.0234152	1.0035074	-0.3107524	3.48625	0.6330762	4.00375	0.6686213	4.17750	2.252867	48.84336
1	32	1.4932471	8.211118	1.2535754	5.972227	0.0247517	0.7756912	-0.0168117	2.84250	0.7583901	2.95000	0.6485317	2.96125	2.252960	48.84326
1	33	1.7460156	7.858340	1.3624569	5.972227	0.0271840	0.5406787	-0.0674612	3.11625	0.5862372	2.93625	0.7798056	2.95250	2.252786	48.84335
1	34	1.5719202	8.400007	1.2735264	5.972227	0.0253380	0.9492651	0.0082315	3.99750	0.6239249	3.14250	0.7561140	4.02875	2.252960	48.84333
2	29	0.8540157	6.869450	0.8133520	5.972227	0.0175307	0.8858601	0.0328612	4.23875	0.7500638	5.78875	0.6129555	2.89125	2.253012	48.84350
2	30	1.8412498	8.419451	1.3894700	5.972227	0.0351599	1.1203924	-0.1037341	6.01000	0.8470150	4.69000	0.4564876	3.71000	2.252862	48.84159
2	31	1.1421318	8.694451	1.0065436	5.972227	0.0225908	1.0708590	-0.0337888	3.23250	0.7909429	4.23375	0.5330165	4.37625	2.252888	48.84346
2	32	0.7471486	7.475006	0.7316079	5.944449	0.0156318	1.3477959	-0.0101965	2.89375	-0.8806341	1.92500	0.5569186	2.39375	2.252915	48.84259
2	33	0.9556824	6.908339	0.8678109	5.972227	0.0176560	0.7150104	-0.1542729	3.05375	0.7743898	4.72500	0.5584621	3.15125	2.252902	48.84348
2	34	0.5710484	7.736117	0.7027301	5.972227	0.0116584	0.6604913	-0.0903514	1.92875	0.8092139	3.35750	0.5220392	2.49000	2.253115	48.84351
3	29	1.6085940	6.916672	1.2432864	5.972227	0.0202927	1.2215229	-0.0024479	4.34625	0.8319407	3.20750	0.5243203	3.46500	2.252847	48.84331
3	30	1.5058783	7.486117	1.0948179	5.972227	0.0176671	0.7740625	-0.0568911	5.02250	0.8755008	3.33000	0.5342178	3.92000	2.252971	48.84336
3	31	0.8997240	6.869450	0.7802366	5.972227	0.0124132	1.1591762	0.0930762	3.63125	0.8172994	4.33875	0.5336397	4.28125	2.252855	48.84340
3	32	1.5713704	8.425007	1.1696016	5.972227	0.0190350	0.9072789	-0.1671498	3.44750	0.8497449	4.03750	0.5100305	2.99500	2.252993	48.84328
3	33	1.6084177	6.733339	1.1884106	5.972227	0.0202837	0.8693453	-0.1247159	4.28125	0.8664601	3.61375	0.4900963	3.83375	2.242162	48.61321
3	34	1.3639073	7.391673	1.1741432	5.972227	0.0187810	1.0159462	-0.0371461	5.22500	0.8162995	3.65250	0.5264859	5.33125	2.252988	48.84325
4	29	0.9156581	6.563894	0.9733431	5.972227	0.0164502	0.8017863	-0.0029622	4.26125	0.7727359	4.07750	0.6228390	2.66250	2.252969	48.84347
4	30	1.7130977	7.597228	1.3840907	5.972227	0.0259460	0.9272655	-0.1246873	2.88625	0.7039919	3.89875	0.6533493	2.59750	2.252961	48.84331
4	31	0.9755699	7.752784	0.9433294	5.972227	0.0161050	0.4289907	0.0067041	3.07125	0.7846801	4.92125	0.6153673	2.60875	2.252878	48.84344
4	32	1.2440341	6.580561	1.2624164	5.972227	0.0185325	0.3777536	0.0525569	2.60250	0.8386494	4.53625	0.6037488	2.96500	2.252837	48.84348
4	33	1.5745395	8.413896	1.4472156	5.972227	0.0247010	1.1993858	-0.0407070	2.47750	0.7547522	5.11000	0.6141040	4.74625	2.252782	48.84336
4	34	1.2749374	7.855562	1.3194556	5.972227	0.0197091	0.6990966	0.0308980	3.27375	0.7425314	3.41125	0.6488333	2.85625	2.253014	48.84342
5	29	0.7248425	8.947229	0.7230194	5.972227	0.0106877	0.7940651	-0.0451318	5.17000	0.9230071	3.26125	0.4742045	2.85500	2.252953	48.84342
5	30	0.7873852	9.016674	0.6977381	5.972227	0.0116650	0.5649681	0.1185169	2.28375	-0.8740538	3.26000	0.5264497	5.68375	2.253041	48.84344
5	31	1.1847430	7.305561	1.0676259	5.972227	0.0158629	0.9374130	-0.1255563	2.84500	0.9016734	3.78750	0.4597461	2.44125	2.252889	48.84330
5	32	1.2466901	8.841674	1.1328006	5.972227	0.0177467	0.9278229	-0.0737997	5.36750	0.8957727	4.35000	0.4675443	4.06000	2.253004	48.84338
5	33	1.2994850	8.486118	1.1293428	5.972227	0.0183436	1.4668994	-0.1617879	2.85125	0.9341928	4.93125	0.4408779	3.48875	2.252874	48.84336
5	34	1.0444537	8.561118	0.9831098	5.972227	0.0162432	1.4836109	-0.0369235	5.13375	0.8357343	4.51500	0.6022138	5.26375	2.253082	48.84337
7	29	1.6354395	7.961118	1.4661677	5.972227	0.0285609	0.8019392	-0.2366253	4.24750	-0.6491583	3.45250	0.6717538	2.96875	2.252889	48.84330
7	30	1.2113271	6.188894	1.0080656	5.972227	0.0195020	0.3163671	0.2359167	2.36000	0.8102227	3.38125	0.5629668	3.50000	2.252992	48.84338
7	31	0.7247996	6.725005	0.6739473	5.944449	0.0133067	1.4943622	0.2954783	3.33625	0.5729909	2.48750	0.7102228	3.06000	2.252868	48.84352
7	32	1.5487378	8.344451	1.3457368	5.972227	0.0257969	0.7285045	0.2144470	4.65875	0.7692895	3.28750	0.5535523	2.67875	2.252990	48.84329
7	33	1.3164641	8.161118	1.1207881	5.972227	0.0211136	0.7724670	0.2708788	3.27375	0.8067024	3.17500	0.5100677	2.95875	2.252907	48.84339
7	34	1.4475729	8.066673	1.3690822	5.972227	0.0249860	0.8820326	0.1494281	4.22125	0.7589021	3.84750	0.5694721	4.00625	2.252980	48.84332
8	29	1.4062952	6.847228	1.1497703	5.944449	0.0226180	1.2768412	-0.1159691	5.70375	0.7016369	3.47875	0.6479778	3.27000	2.252856	48.84331
8	30	1.1248313	7.450006	0.9861356	5.972227	0.0167893	0.6028429	-0.0788222	2.03500	0.6428937	3.82500	0.6929484	2.45000	2.252980	48.84335
8	31	1.1008024	6.738894	0.9273895	5.972227	0.0168946	1.0623557	0.0707958	2.54250	0.5358517	4.44625	0.7574519	3.35125	2.252844	48.84348
8	32	0.8761488	6.808339	0.7163080	5.972227	0.0142625	1.3861704	-0.1568835	3.54500	0.5893586	5.93250	0.7142261	2.96625	2.252946	48.84344
8	33	0.5000994	6.155560	0.4681133	5.972227	0.0081688	0.6072773	-0.0335533	2.48500	0.6997796	3.94250	0.6866468	3.14375	2.253025	48.84356
8	34	0.7842015	6.719450	0.7951869	5.972227	0.0144399	0.8703253	0.0486583	5.10375	0.6952910	3.65250	0.6520617	2.85000	2.253002	48.84343
11	29	1.0847469	7.552784	0.9556312	5.972227	0.0197386	2.0721410	0.0570769	3.60625	0.8625542	4.10125	0.5711609	4.45125	2.252989	48.84343
11	30	0.6353776	6.622228	0.6294805	5.944449	0.0112747	0.7692007	0.0175404	2.10875	0.8917142	3.40875	0.5731946	3.50375	2.252950	48.84176
11	31	1.5835727	7.466673	1.2442327	5.972227	0.0271895	0.9142690	0.0117155	4.90250	0.8933662	4.27250	0.4838551	5.34000	2.252888	48.84335
11	32	1.3465706	8.013895	1.1147333	5.972227	0.0224778	0.4944777	-0.2654760	4.45125	0.8852853	3.35125	0.4803006	2.88125	2.252854	48.84238
11	33	1.0498704	7.213895	0.8759863	5.972227	0.0194105	1.3243243	0.0064421	2.94250	0.9243265	4.04625	0.4815573	5.00375	2.253009	48.84349
11	34	1.2605802	6.430561	1.1525315	5.972227	0.0215829	0.6901779	0.0309789	3.14750	0.8709407	3.62000	0.5214005	3.37750	2.253024	48.84338
13	29	0.9217842	6.463894	0.7830075	5.972227	0.0152935	0.4237865	0.0609207	1.96750	0.7712458	4.87750	0.6085980	2.47875	2.253004	48.84344
13	30	1.0943285	7.880562	0.9669524	5.972227	0.0171526	0.4861889	0.0905367	2.02500	0.8324852	4.02000	0.5366646	2.62250	2.253000	48.84342
13	31	0.8237267	7.386117	0.7664810	5.972227	0.0130955	0.5137256	-0.0031486	3.12000	0.7623328	4.06750	0.6036246	2.56125	2.252894	48.84343
13	32	1.0298464	6.813894	0.9300777	5.972227	0.0248156	0.5074810	-0.0662261	3.05250	0.7844801	4.14500	0.5519643	2.96500	2.252896	48.84188
13	33	1.0030908	6.141672	0.9405807	5.972227	0.0184188	0.6599390	0.0996191	4.74250	0.7177374	3.64125	0.5998427	2.99500	2.252819	48.84344
13	34	0.9170059	7.097228	0.8688187	5.972227	0.0176882	0.6459781	-0.0655496	3.63250	0.8050445	4.03250	0.5043159	3.86000	2.252965	48.84339
14	29	0.5353562	7.352784	0.5624323	5.972227	0.0100746	0.3378143	0.1838901	2.73875	-0.7830200	1.59875	-0.6649805	0.53000	2.253119	48.84354
14	30	0.6733223	7.472228	0.7358816	5.972227	0.0132944	1.3126463	0.0986007	2.36125	-0.8317486	2.63000	-0.6047626	1.13625	2.253060	48.84352
14	31	0.4330630	5.761116	0.4524920	5.944449	0.0072656	0.2499178	-0.0584165	0.96750	0.8379525	3.22500	-0.6460837	0.81125	2.252956	48.84371
14	32	0.4480549	7.119450	0.4705382	5.972227	0.0086043	0.4439378	0.0163073	1.42625	-0.6989945	1.57000	-0.7950503	0.61000	2.252898	48.84369
NaN	NaN	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
NaN	NaN	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	29	0.0701438	6.269450	0.1725099	5.861116	0.0031321	0.4866520	0.2434423	2.96000	0.8307119	2.89750	0.5550796	2.49625	2.253154	48.84357
15	30	0.7448162	8.283340	0.6270627	5.972227	0.0114504	0.3921290	-0.5363607	1.69500	-0.6843966	2.04875	0.6035908	2.48250	2.253020	48.84350
15	31	0.6012971	6.975006	0.5968628	5.972227	0.0116229	0.7316344	-0.0325727	4.96125	-0.6765442	3.44875	0.8080612	5.38875	2.252916	48.84360
15	32	0.1768045	4.941671	0.2723005	5.972227	0.0037208	0.1568199	0.0383727	0.97500	0.8365404	2.53375	0.5720354	2.42500	2.252817	48.84364
15	33	0.7629832	6.902783	0.6916858	5.972227	0.0120069	1.0058732	0.1208272	2.54000	0.6394220	2.71000	0.7635335	3.28625	2.252993	48.84181
15	34	0.8438236	7.391673	0.8438710	5.972227	0.0138968	0.7468799	-0.4014126	3.54000	0.6598724	3.34875	0.6041442	4.81000	2.253108	48.84345
16	29	1.0052458	6.769450	0.8354933	5.972227	0.0158993	0.5775253	-0.1872562	2.69125	0.8237296	4.60500	0.5160688	1.89375	2.252981	48.84342
16	30	0.4364110	7.369450	0.4873287	5.944449	0.0082633	0.9243608	-0.2282503	3.41500	0.6708100	3.85375	0.7039955	2.96500	2.253088	48.84357
16	31	0.8402851	7.400006	0.7190946	5.972227	0.0141978	1.8814027	-0.0988433	3.95875	0.6750068	4.68500	0.7176745	3.11125	2.252877	48.84353
16	32	1.0726992	6.186116	0.9132908	5.972227	0.0172027	0.6197147	-0.2491085	4.70875	0.8525535	3.97625	0.4514871	3.97125	2.252836	48.84346
16	33	0.4058759	4.783337	0.4570657	5.944449	0.0057264	0.1452445	-0.2302242	1.11250	0.7333974	2.51375	0.6632129	1.89125	2.253117	48.84359
NaN	NaN	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN

GPS Season Stats (Individual Level)

games <- seq(from = 1, to = 38, by = 1)
df <- df.gps %>% filter(player == 14, game %in% games)
attach(df)

out <- data.frame()
out

## data frame with 0 columns and 0 rows

for(i in games){
  p14 <- df %>% 
  filter(game == i) %>% 
  arrange(game, half, time, frame) %>% 
  summarise(player = 14,
            game = games[i],
            avg.speed = mean(Speed),
            max.speed = max(Speed),
            avg.acc.imp = mean(AccelImpulse),
            max.imp = max(AccelImpulse),
            avg.acc.load = mean(AccelLoad),
            max.load = max(AccelLoad),
            avg.x = mean(AccelX),
            max.x = max(AccelX),
            avg.y = mean(AccelY),
            max.y = max(AccelY),
            avg.z = mean(AccelZ),
            max.z = max(AccelZ),
            avg.long = mean(Longitude),
            avg.lat = mean(Latitude))
  out <- rbind(out, p14)
}

kable(out, caption = "Player 14 GPS Stats by Game")

Player 14 GPS Stats by Game

player	game	avg.speed	max.speed	avg.acc.imp	max.imp	avg.acc.load	max.load	avg.x	max.x	avg.y	max.y	avg.z	max.z	avg.long	avg.lat
14	1	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	2	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	3	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	4	0.6377253	7.705562	0.7464310	5.972227	0.0095990	0.4327672	0.2053272	2.72500	-0.9242350	1.90875	-0.4873860	0.63875	NA	48.44319
14	5	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	6	0.0416681	1.705557	0.1329170	5.972227	0.0022288	0.0736065	-0.0419610	0.64875	-0.5264696	1.17125	-0.9192757	-0.14375	NA	-33.88899
14	7	0.3230153	6.002783	0.3518655	5.972227	0.0056886	0.3324170	0.0255684	1.99000	0.6401134	3.28875	-0.8151680	0.24000	NA	-33.88920
14	8	0.4819424	5.200004	0.4447155	5.916671	0.0078794	0.1868925	-0.1484562	1.38375	0.5442074	2.47625	0.8160232	2.07750	NA	-33.88902
14	9	0.5513227	6.061116	0.5581690	5.972227	0.0096064	0.5020010	0.0404796	3.49375	0.5003206	2.31875	-0.9205619	1.54250	NA	-33.91742
14	10	0.5134479	6.155560	0.5286291	5.944449	0.0093641	0.3643553	-0.0789089	2.20500	-0.6091450	1.95625	-0.8535101	0.51500	NA	-33.88914
14	11	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	12	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	13	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	14	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	15	1.5295857	6.727783	1.1633056	5.972227	0.0276625	0.8877345	0.0337197	3.38125	-0.8229386	2.99625	-0.6103788	2.81500	NA	33.89115
14	16	1.1968628	7.694451	1.0263181	5.916671	0.0234457	0.9700126	-0.0181918	3.43000	0.7556461	3.34375	-0.6551101	2.44875	NA	33.89120
14	17	1.0090596	6.866672	0.8030407	5.944449	0.0176351	0.3879623	0.0196302	2.01375	-0.8473744	2.11500	-0.6416071	0.59125	NA	33.89131
14	18	1.1629186	8.050006	0.9432846	5.972227	0.0213152	1.1212616	-0.0434660	2.58375	-0.8488769	2.60125	-0.6467696	3.38125	NA	33.89121
14	19	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	20	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	21	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	22	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	23	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	24	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	25	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	26	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	27	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	28	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	29	0.5353562	7.352784	0.5624323	5.972227	0.0100746	0.3378143	0.1838901	2.73875	-0.7830200	1.59875	-0.6649805	0.53000	2.253119	48.84354
14	30	0.6733223	7.472228	0.7358816	5.972227	0.0132944	1.3126463	0.0986007	2.36125	-0.8317486	2.63000	-0.6047626	1.13625	2.253060	48.84352
14	31	0.4330630	5.761116	0.4524920	5.944449	0.0072656	0.2499178	-0.0584165	0.96750	0.8379525	3.22500	-0.6460837	0.81125	2.252956	48.84371
14	32	0.4480549	7.119450	0.4705382	5.972227	0.0086043	0.4439378	0.0163073	1.42625	-0.6989945	1.57000	-0.7950503	0.61000	2.252898	48.84369
14	33	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	34	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	35	0.5376443	5.644449	0.5394507	5.944449	0.0082885	0.4046542	0.0776518	2.22875	0.7339043	2.60250	-0.7935689	0.17750	NA	37.77832
14	36	0.2585033	5.241671	0.3739303	5.888894	0.0045323	0.1554146	0.1686718	1.28625	0.7450578	2.77375	-0.7610783	0.58375	NA	37.77829
14	37	0.1987647	4.263892	0.2895898	5.944449	0.0036334	0.1791414	0.0110991	1.09625	-0.7837030	1.36250	-0.7355293	0.22500	NA	37.77819
14	38	0.6960191	7.433339	0.6638147	5.972227	0.0116856	0.8760604	-0.1634317	2.26125	-0.6020071	2.83875	-0.8418335	1.46750	NA	37.77824

GPS Season Stats (Individual/Game Level)

games <- seq(from = 1, to = 38, by = 1)
players <- seq(from = 1, to = 16, by = 1)
out <- data.frame()
out

## data frame with 0 columns and 0 rows

for(i in players){
  for(j in games){
    p14 <- df.gps %>% 
      filter(player == i, game == j) %>% 
      arrange(game, half, time, frame) %>% 
      summarise(player = players[i], 
                game = games[j], 
                avg.speed = mean(Speed), 
                max.speed = max(Speed), 
                avg.acc.imp = mean(AccelImpulse), 
                max.imp = max(AccelImpulse), 
                avg.acc.load = mean(AccelLoad), 
                max.load = max(AccelLoad), 
                avg.x = mean(AccelX), 
                max.x = max(AccelX), 
                avg.y = mean(AccelY), 
                max.y = max(AccelY), 
                avg.z = mean(AccelZ), 
                max.z = max(AccelZ), 
                avg.long = mean(Longitude), 
                avg.lat = mean(Latitude))
    out <- rbind(out, p14)
  }
}

kable(out, caption = "Summarized GPS Data by Player and Game")

Summarized GPS Data by Player and Game

player	game	avg.speed	max.speed	avg.acc.imp	max.imp	avg.acc.load	max.load	avg.x	max.x	avg.y	max.y	avg.z	max.z	avg.long	avg.lat
1	1	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	2	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	3	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	4	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	5	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	6	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	7	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	8	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	9	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	10	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
1	11	1.8265433	8.3638956	1.4669706	5.972227	0.0295228	0.7414546	-0.2695601	3.18000	0.8570585	3.00375	0.5428993	4.07250	NA	-28.06679
1	12	1.3347551	7.8305618	1.1142615	5.972227	0.0213689	0.8260149	-0.1357718	3.09875	0.6015104	2.78750	0.7434551	2.72000	NA	-28.06670
1	13	0.8711279	6.9138944	0.9327134	5.972227	0.0158867	1.2178320	-0.2742812	2.56500	0.4756056	3.62500	0.7760643	2.82625	NA	-28.06690
1	14	0.8943279	7.9000063	0.7841742	5.944449	0.0148014	1.2530581	-0.0157001	3.30125	0.5750624	4.51125	0.7823037	3.11000	NA	-28.06678
1	15	0.8597015	7.4388948	0.7534867	5.972227	0.0134709	0.4896607	-0.1387312	2.93125	0.5198581	2.69125	0.8324897	2.85625	NA	33.89132
1	16	0.8153078	7.6111172	0.8570446	5.916671	0.0129080	1.3115497	-0.2194320	4.86250	0.4956454	2.53375	0.8359873	2.73500	NA	33.89127
1	17	1.7012835	7.6555617	1.3240251	5.972227	0.0283526	0.6149143	-0.1659640	3.50875	0.6991638	3.44000	0.6912307	2.93125	NA	33.89107
1	18	1.2281493	8.2027843	1.0699035	5.972227	0.0193087	0.7621077	-0.1743215	4.76250	0.9094222	3.12250	0.4929829	3.07125	NA	33.89121
1	19	1.6241669	7.8527841	1.3453566	5.972227	0.0276535	1.2303913	-0.3703133	6.94375	0.6800181	7.30250	0.4811312	2.63750	NA	48.44321
1	20	1.3536627	7.6750061	1.1763067	5.972227	0.0216680	0.6218341	0.1993939	3.05000	0.9180733	3.22750	0.4015541	2.55750	NA	48.44316
1	21	1.8693500	8.4111178	1.3495908	5.972227	0.0297218	0.7940897	-0.1500045	4.54625	0.5741392	2.94875	0.8016701	2.84750	NA	48.44300
1	22	1.6720190	8.6500069	1.2641572	5.972227	0.0260916	1.5672574	-0.1994576	4.77250	0.5787321	3.36375	0.8091953	2.69500	NA	48.44305
1	23	1.4441355	8.4888957	1.2528547	5.972227	0.0252141	0.9043815	0.1112733	5.37875	-0.6322384	2.56375	0.7773905	3.62125	NA	48.44320
1	24	1.6241669	7.8527841	1.3453566	5.972227	0.0276535	1.2303913	-0.3703133	6.94375	0.6800181	7.30250	0.4811312	2.63750	NA	48.44321
1	25	1.3536627	7.6750061	1.1763067	5.972227	0.0216680	0.6218341	0.1993939	3.05000	0.9180733	3.22750	0.4015541	2.55750	NA	48.44316
1	26	1.8693500	8.4111178	1.3495908	5.972227	0.0297218	0.7940897	-0.1500045	4.54625	0.5741392	2.94875	0.8016701	2.84750	NA	48.44300
1	27	1.6720190	8.6500069	1.2641572	5.972227	0.0260916	1.5672574	-0.1994576	4.77250	0.5787321	3.36375	0.8091953	2.69500	NA	48.44305
1	28	1.4441355	8.4888957	1.2528547	5.972227	0.0252141	0.9043815	0.1112733	5.37875	-0.6322384	2.56375	0.7773905	3.62125	NA	48.44320
1	29	1.6070291	8.0861176	1.2886174	5.972227	0.0247073	1.0630710	-0.1355145	4.04500	0.6181246	2.85000	0.7475615	2.67500	2.252817	48.84330
1	30	1.2047238	8.2861177	1.0317552	5.972227	0.0203078	0.8754429	0.0980932	3.89625	-0.9654521	2.83500	0.4424833	4.52250	2.253010	48.84342
1	31	1.4736929	8.5944513	1.2543969	5.972227	0.0234152	1.0035074	-0.3107524	3.48625	0.6330762	4.00375	0.6686213	4.17750	2.252867	48.84336
1	32	1.4932471	8.2111177	1.2535754	5.972227	0.0247517	0.7756912	-0.0168117	2.84250	0.7583901	2.95000	0.6485317	2.96125	2.252960	48.84326
1	33	1.7460156	7.8583396	1.3624569	5.972227	0.0271840	0.5406787	-0.0674612	3.11625	0.5862372	2.93625	0.7798056	2.95250	2.252786	48.84335
1	34	1.5719202	8.4000067	1.2735264	5.972227	0.0253380	0.9492651	0.0082315	3.99750	0.6239249	3.14250	0.7561140	4.02875	2.252960	48.84333
1	35	1.6982989	8.4166734	1.2341983	5.972227	0.0229164	0.3696036	-0.1559760	3.26250	0.7113279	4.45625	0.7247371	2.99750	NA	37.77841
1	36	1.7523750	7.9111174	1.4491416	5.972227	0.0275292	0.9365388	-0.2122577	3.90500	0.6442915	3.25875	0.6789862	6.01750	NA	37.77852
1	37	1.7076158	8.0250064	1.3135623	5.972227	0.0242315	1.3850008	-0.2707098	2.26250	0.6847390	5.01625	0.7120885	3.27000	NA	37.77839
1	38	1.5148712	8.2194510	1.3132654	5.972227	0.0229095	1.2826305	-0.2351747	4.56750	0.6600594	3.08250	0.6904530	2.79250	NA	37.77849
2	1	0.7901562	7.6083394	0.6996278	5.972227	0.0166684	0.6688389	0.0223291	3.03375	0.6061697	3.72875	0.7846174	3.72750	55.466532	24.99492
2	2	1.7442157	7.1888946	1.3131686	5.972227	0.0329186	0.9477680	0.0982092	3.56000	0.8504355	3.89500	0.4962526	4.86500	55.466262	24.99507
2	3	1.0778775	7.1805613	0.8951276	5.972227	0.0204096	0.6005551	0.1093573	3.48875	0.5764408	3.64875	0.7993386	2.76000	55.466302	24.99488
2	4	1.2110794	7.6138950	0.9271277	5.972227	0.0240664	0.7008680	-0.0159438	3.05625	0.8778098	5.42250	0.5083153	2.75125	55.467333	24.99361
2	5	0.0137764	1.6888902	0.0562485	5.527782	0.0012458	0.0268080	0.1790299	0.51375	0.8785213	1.40375	0.5506461	1.21375	55.466674	24.99490
2	6	1.9412056	7.4388948	1.3009886	5.972227	0.0366229	0.8931232	0.1583917	2.40000	0.6957060	4.06625	0.6648067	3.23250	NA	-33.88917
2	7	1.2202074	6.8777833	0.9087490	5.972227	0.0233116	0.4243336	0.0300567	3.54875	0.8906626	3.84750	0.4820857	2.58125	NA	-33.88319
2	8	1.3439488	6.7666721	0.9618183	5.972227	0.0274755	0.6015958	0.0365311	3.33125	0.8563216	5.10375	0.5284916	2.52625	NA	-33.88909
2	9	1.1623484	7.1861169	0.8505312	5.972227	0.0243110	1.1656330	-0.2377266	4.51875	0.6332011	4.69000	0.7149198	3.60625	NA	-33.88907
2	10	1.0378951	7.5638949	0.8705196	5.972227	0.0201009	0.8648567	0.1661727	3.69625	0.8760769	4.77500	0.4844285	2.98250	NA	-33.88906
2	11	1.9524981	7.7777840	1.4488831	5.972227	0.0359720	0.8277719	0.1002637	3.20500	0.8767140	3.93000	0.4376815	3.82000	NA	-28.06683
2	12	0.2236566	6.2027827	0.3564597	5.972227	0.0054219	0.3640340	0.0582733	0.95250	0.8119112	5.94000	0.5715550	2.06250	NA	-28.06689
2	13	0.8292836	7.0222278	0.6987756	5.972227	0.0160764	0.9517732	0.2669959	2.85000	0.8266134	5.97375	0.4667565	3.15125	NA	-28.06693
2	14	0.1585284	4.8444483	0.4164765	5.972227	0.0054185	0.2536706	-0.0566761	0.66875	0.8353124	5.22125	0.5287285	2.26625	NA	-28.06673
2	15	1.1207460	7.8944508	0.8908254	5.972227	0.0213291	0.7548485	0.3772930	3.95625	0.8497168	4.10375	0.3910329	2.60875	NA	33.89116
2	16	0.9710546	7.2694503	0.8496365	5.972227	0.0186803	0.3898248	0.1739484	3.31375	0.8198861	4.08875	0.5295179	2.37000	NA	33.89123
2	17	0.8692614	7.6194505	0.7670305	5.972227	0.0176934	0.8790179	0.3112954	3.14750	0.7113151	5.48750	0.5893817	3.21500	NA	33.89130
2	18	1.2515686	7.4277837	1.0030595	5.972227	0.0257119	0.8048720	0.1810050	2.53500	0.8495431	4.37500	0.4312179	3.37000	NA	33.89119
2	19	1.9223394	7.7638951	1.6097994	5.972227	0.0388598	0.9193675	0.0532048	4.14125	0.8531390	3.94875	0.4718294	4.12125	NA	48.44315
2	20	0.6490620	6.6083386	0.7007766	5.972227	0.0130532	0.2909190	-0.0730526	1.36625	0.7976273	3.99125	0.5614936	2.20250	NA	48.44338
2	21	0.6708864	7.4861171	0.6608732	5.972227	0.0133850	0.2800579	0.0326821	1.53125	0.8210689	5.60500	0.5497109	1.85500	NA	48.44337
2	22	1.0704109	6.6583387	0.8577896	5.972227	0.0218950	0.7958386	0.0147312	3.10125	0.8600342	6.44500	0.4138335	2.88500	NA	48.43308
2	23	1.3473371	6.4527829	1.0255424	5.972227	0.0265837	0.9058878	0.0831680	6.10000	0.8918336	3.99875	0.4321295	3.19375	NA	48.44326
2	24	1.9223394	7.7638951	1.6097994	5.972227	0.0388598	0.9193675	0.0532048	4.14125	0.8531390	3.94875	0.4718294	4.12125	NA	48.44315
2	25	0.6490620	6.6083386	0.7007766	5.972227	0.0130532	0.2909190	-0.0730526	1.36625	0.7976273	3.99125	0.5614936	2.20250	NA	48.44338
2	26	0.6708864	7.4861171	0.6608732	5.972227	0.0133850	0.2800579	0.0326821	1.53125	0.8210689	5.60500	0.5497109	1.85500	NA	48.44337
2	27	1.0704109	6.6583387	0.8577896	5.972227	0.0218950	0.7958386	0.0147312	3.10125	0.8600342	6.44500	0.4138335	2.88500	NA	48.43308
2	28	1.3473371	6.4527829	1.0255424	5.972227	0.0265837	0.9058878	0.0831680	6.10000	0.8918336	3.99875	0.4321295	3.19375	NA	48.44326
2	29	0.8540157	6.8694499	0.8133520	5.972227	0.0175307	0.8858601	0.0328612	4.23875	0.7500638	5.78875	0.6129555	2.89125	2.253012	48.84350
2	30	1.8412498	8.4194512	1.3894700	5.972227	0.0351599	1.1203924	-0.1037341	6.01000	0.8470150	4.69000	0.4564876	3.71000	2.252862	48.84159
2	31	1.1421318	8.6944514	1.0065436	5.972227	0.0225908	1.0708590	-0.0337888	3.23250	0.7909429	4.23375	0.5330165	4.37625	2.252888	48.84346
2	32	0.7471486	7.4750060	0.7316079	5.944449	0.0156318	1.3477959	-0.0101965	2.89375	-0.8806341	1.92500	0.5569186	2.39375	2.252915	48.84259
2	33	0.9556824	6.9083389	0.8678109	5.972227	0.0176560	0.7150104	-0.1542729	3.05375	0.7743898	4.72500	0.5584621	3.15125	2.252902	48.84348
2	34	0.5710484	7.7361173	0.7027301	5.972227	0.0116584	0.6604913	-0.0903514	1.92875	0.8092139	3.35750	0.5220392	2.49000	2.253115	48.84351
2	35	0.6697259	7.1222279	0.6740223	5.972227	0.0129238	0.6033259	0.0257551	5.09750	0.8432455	6.13125	0.5000132	3.28375	NA	37.77834
2	36	0.7381019	6.2055605	0.7553059	5.972227	0.0136676	1.1423375	0.1001909	2.22875	0.7691098	4.48375	0.5732236	2.49875	NA	37.77832
2	37	0.3392063	4.5527814	0.4480622	5.861116	0.0060815	0.1762782	-0.0610389	0.87500	0.8692417	3.64000	0.4396467	1.83250	NA	37.77820
2	38	1.8060626	7.3277836	1.4190244	5.972227	0.0320691	1.1636193	0.0800776	3.93250	0.8409373	4.00000	0.4750393	4.14250	NA	37.77844
3	1	1.2858993	7.2777836	1.0229583	5.972227	0.0170733	1.0729722	0.0956720	3.76250	0.9341478	3.49875	0.4098576	3.84375	55.466345	24.99509
3	2	1.1191928	7.7083395	0.7893813	5.944449	0.0151792	1.0873940	0.0081859	3.03875	0.9691165	3.37375	0.3490984	2.65500	55.466282	24.99492
3	3	1.2652664	8.0027842	0.8918748	5.972227	0.0168012	0.9619610	0.1209303	2.71875	0.9527532	3.75000	0.3902891	3.55500	55.466258	24.99494
3	4	1.4184311	7.7694507	1.0851790	5.972227	0.0192150	0.8677160	0.2846147	3.58500	0.8665184	4.16625	0.4234015	3.52500	55.467441	24.99347
3	5	1.3952623	7.8055618	1.1114179	5.972227	0.0181466	0.5767736	0.1400696	5.39250	0.9355104	3.10875	0.4151439	4.54500	55.466281	24.99508
3	6	0.0211562	1.1027787	0.0889720	5.666671	0.0017053	0.0311469	0.0395971	0.41875	0.7484971	1.35000	0.5978110	1.37875	NA	-33.88899
3	7	1.4026960	8.2888955	1.0570417	5.972227	0.0185931	0.9488955	0.0650640	3.59250	0.9318364	3.75750	0.4084870	3.86875	NA	-33.88904
3	8	1.5721456	7.5083393	1.1867527	5.972227	0.0207829	0.8086826	-0.0419370	2.81125	0.9891209	4.32125	0.3301438	2.74250	NA	-33.88909
3	9	1.3703300	6.2611161	1.0702073	5.972227	0.0175917	0.6283378	-0.0694334	3.36875	0.9507335	4.37250	0.4257300	5.53125	NA	-33.88912
3	10	1.3581104	8.5750069	1.1031928	5.972227	0.0186822	1.0791373	-0.1491705	3.41125	0.9013139	5.06000	-0.5191275	2.16250	NA	-33.88901
3	11	0.0406069	3.3694471	0.0913454	5.944449	0.0014986	0.0844905	-0.0430617	0.53875	0.6336442	2.50000	0.7976840	1.53500	NA	-28.06672
3	12	1.4088717	8.7055625	1.0744356	5.972227	0.0173176	1.0803217	0.1613189	5.92750	0.8699889	3.52250	0.5247548	4.21000	NA	-28.06669
3	13	1.5338376	8.8888960	1.0950636	5.972227	0.0177915	0.8837847	0.0128850	6.06125	0.8857485	3.41750	0.5352216	4.10125	NA	-28.06688
3	14	1.4622870	7.9000063	1.1465046	5.972227	0.0180202	0.8105651	0.0720832	3.00875	0.8926889	4.00500	0.5227325	3.33500	NA	-28.06688
3	15	1.0295903	7.3527837	0.8432509	5.972227	0.0138239	0.9464220	-0.0629379	3.08250	-0.8040844	3.75625	0.6315855	3.58625	NA	33.89125
3	16	1.4514802	7.8916730	1.1003064	5.972227	0.0176301	0.6262495	0.0623695	2.15625	0.8997390	4.80250	0.4978799	3.55125	NA	33.89110
3	17	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	18	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	19	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	20	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	21	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	22	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	23	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	24	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	25	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	26	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	27	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	28	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
3	29	1.6085940	6.9166722	1.2432864	5.972227	0.0202927	1.2215229	-0.0024479	4.34625	0.8319407	3.20750	0.5243203	3.46500	2.252847	48.84331
3	30	1.5058783	7.4861171	1.0948179	5.972227	0.0176671	0.7740625	-0.0568911	5.02250	0.8755008	3.33000	0.5342178	3.92000	2.252971	48.84336
3	31	0.8997240	6.8694499	0.7802366	5.972227	0.0124132	1.1591762	0.0930762	3.63125	0.8172994	4.33875	0.5336397	4.28125	2.252855	48.84340
3	32	1.5713704	8.4250067	1.1696016	5.972227	0.0190350	0.9072789	-0.1671498	3.44750	0.8497449	4.03750	0.5100305	2.99500	2.252993	48.84328
3	33	1.6084177	6.7333387	1.1884106	5.972227	0.0202837	0.8693453	-0.1247159	4.28125	0.8664601	3.61375	0.4900963	3.83375	2.242162	48.61321
3	34	1.3639073	7.3916726	1.1741432	5.972227	0.0187810	1.0159462	-0.0371461	5.22500	0.8162995	3.65250	0.5264859	5.33125	2.252988	48.84325
3	35	0.9781743	8.2694511	0.7746832	5.972227	0.0135204	0.7063693	-0.0475734	3.36500	0.8253930	3.38625	0.5988748	3.48750	NA	37.77838
3	36	1.5975531	6.3972273	1.2874591	5.972227	0.0212056	1.2495235	0.0934035	3.58000	0.8145233	4.12625	0.5854085	7.13500	NA	37.77856
3	37	1.5188695	8.2277844	1.1248521	5.972227	0.0198512	0.8436343	0.0217958	8.58875	0.8027906	5.26625	0.6412398	4.35000	NA	37.77844
3	38	1.2933249	6.6861165	1.1145272	5.972227	0.0178877	0.9288546	0.0015844	2.73125	0.8525815	3.31750	0.5722394	3.48250	NA	37.77836
4	1	0.7521661	7.6388950	0.8405127	5.944449	0.0133888	0.4885343	-0.0179949	2.24250	0.8607478	3.82250	0.4816503	2.52375	55.466537	24.99499
4	2	1.5798490	7.8583396	1.4163822	5.972227	0.0241592	0.7146872	0.0743667	4.50375	0.8343580	4.91500	0.4930196	3.44250	55.466257	24.99510
4	3	1.0848484	6.6305609	0.8691976	5.972227	0.0162006	0.7168734	0.1960383	3.19750	0.8972353	3.25375	0.5027302	3.92625	55.466299	24.99495
4	4	0.2564184	4.6555593	0.2806861	5.805560	0.0047618	0.1330585	-0.1308120	0.56750	0.7885912	3.87125	0.6461435	1.93375	55.467136	24.99371
4	5	0.7065001	5.9694492	0.6441146	5.972227	0.0121930	0.3972316	0.0028364	1.96750	0.7532450	2.95500	0.6935229	2.25750	55.466422	24.99494
4	6	1.6213682	8.1111176	1.3986260	5.972227	0.0239858	0.6449632	0.0024809	2.91375	0.9163806	3.34625	0.4614581	2.77500	NA	-33.88922
4	7	0.8889456	7.0916723	0.8265008	5.972227	0.0138751	0.6170740	-0.0544176	3.28250	0.8934046	4.04500	0.4668453	3.01500	NA	-33.88916
4	8	0.8932759	6.2305605	0.7872389	5.972227	0.0136500	1.0083956	-0.0474181	3.97750	0.8814380	3.53625	0.5467657	3.36750	NA	-33.88549
4	9	1.5478317	8.6750069	1.3242567	5.972227	0.0234680	0.5828906	-0.1261781	2.76375	0.9228951	4.87750	0.4149155	2.52250	NA	-33.88914
4	10	1.4413511	7.6361172	1.2858806	5.972227	0.0209295	0.8573163	-0.0186225	3.92250	0.9175107	4.58625	0.4518728	3.07500	NA	-33.88904
4	11	0.0485222	3.1527803	0.1443210	5.916671	0.0024117	0.1178270	-0.0531199	0.86250	0.8724903	3.60625	0.5952069	2.27750	NA	-28.06673
4	12	1.4247379	7.3138947	1.2835380	5.972227	0.0212464	0.6187472	-0.0368598	2.58125	0.6875569	4.12750	0.6370639	3.09500	NA	-28.06672
4	13	1.5590534	7.8027840	1.3518240	5.972227	0.0232645	0.5472624	0.1529835	3.29250	0.8103460	4.81375	0.5040557	3.89125	NA	-28.06688
4	14	1.3888670	7.3138947	1.2892412	5.972227	0.0198292	0.5459705	-0.2395481	3.78875	0.9358992	5.79125	0.3758120	4.16750	NA	-28.06686
4	15	1.4175908	7.2277836	1.2295704	5.972227	0.0214837	0.5749114	0.1078111	3.40000	0.8059097	3.91750	0.5789647	3.29125	NA	33.89111
4	16	1.3494674	8.1333398	1.1301732	5.972227	0.0193714	0.5798736	0.0533117	4.85750	0.8701448	3.99500	0.5276501	4.89000	NA	33.89121
4	17	1.2113532	7.1722280	1.2687401	5.972227	0.0199803	1.1685780	0.0143997	2.54000	0.7818050	3.54125	0.5980644	2.90625	NA	33.89127
4	18	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
4	19	1.3487788	6.7194498	1.2440283	5.972227	0.0203795	1.0269765	0.0239263	5.96375	0.8422503	3.50875	0.5797942	3.29625	NA	48.44310
4	20	1.5711716	7.1194501	1.4075605	5.972227	0.0219455	0.5675279	0.1275959	3.92000	0.8502577	3.54500	0.5547474	2.85875	NA	48.44316
4	21	0.8141237	7.4722282	0.9244250	5.972227	0.0131294	0.8940984	-0.1384049	2.91125	0.9306192	4.13625	0.4955193	2.47375	NA	48.43815
4	22	1.2306550	5.9777826	1.0858354	5.972227	0.0179181	0.7571522	0.1157182	3.20875	0.8576799	5.86375	0.5815762	2.92875	NA	48.44319
4	23	1.3009100	7.1027835	1.2403861	5.972227	0.0186120	0.4466115	-0.0191642	2.31500	0.8146713	3.93750	0.6025138	3.61750	NA	48.44331
4	24	1.3487788	6.7194498	1.2440283	5.972227	0.0203795	1.0269765	0.0239263	5.96375	0.8422503	3.50875	0.5797942	3.29625	NA	48.44310
4	25	1.5711716	7.1194501	1.4075605	5.972227	0.0219455	0.5675279	0.1275959	3.92000	0.8502577	3.54500	0.5547474	2.85875	NA	48.44316
4	26	0.8141237	7.4722282	0.9244250	5.972227	0.0131294	0.8940984	-0.1384049	2.91125	0.9306192	4.13625	0.4955193	2.47375	NA	48.43815
4	27	1.2306550	5.9777826	1.0858354	5.972227	0.0179181	0.7571522	0.1157182	3.20875	0.8576799	5.86375	0.5815762	2.92875	NA	48.44319
4	28	1.3009100	7.1027835	1.2403861	5.972227	0.0186120	0.4466115	-0.0191642	2.31500	0.8146713	3.93750	0.6025138	3.61750	NA	48.44331
4	29	0.9156581	6.5638941	0.9733431	5.972227	0.0164502	0.8017863	-0.0029622	4.26125	0.7727359	4.07750	0.6228390	2.66250	2.252969	48.84347
4	30	1.7130977	7.5972283	1.3840907	5.972227	0.0259460	0.9272655	-0.1246873	2.88625	0.7039919	3.89875	0.6533493	2.59750	2.252961	48.84331
4	31	0.9755699	7.7527840	0.9433294	5.972227	0.0161050	0.4289907	0.0067041	3.07125	0.7846801	4.92125	0.6153673	2.60875	2.252878	48.84344
4	32	1.2440341	6.5805608	1.2624164	5.972227	0.0185325	0.3777536	0.0525569	2.60250	0.8386494	4.53625	0.6037488	2.96500	2.252837	48.84348
4	33	1.5745395	8.4138956	1.4472156	5.972227	0.0247010	1.1993858	-0.0407070	2.47750	0.7547522	5.11000	0.6141040	4.74625	2.252782	48.84336
4	34	1.2749374	7.8555618	1.3194556	5.972227	0.0197091	0.6990966	0.0308980	3.27375	0.7425314	3.41125	0.6488333	2.85625	2.253014	48.84342
4	35	1.0401955	6.8638944	1.0600564	5.972227	0.0165614	0.6320229	0.0179850	8.37375	0.9808769	3.92375	0.3757996	2.25500	NA	37.77842
4	36	1.4306482	6.9083389	1.3791294	5.972227	0.0236434	0.9456838	-0.0659986	2.56750	0.8742435	5.21625	0.5023788	4.02125	NA	37.77846
4	37	1.1152308	6.9361167	1.0227989	5.972227	0.0185051	0.9005145	-0.1867198	2.94875	0.8319420	5.04625	0.4941751	2.85625	NA	37.77836
4	38	0.9514251	7.5083393	1.0553170	5.972227	0.0164866	0.7348246	-0.1837237	5.46500	0.8758895	3.83125	0.4685875	3.18250	NA	37.77658
5	1	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	2	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	3	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	4	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	5	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	6	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	7	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	8	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	9	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	10	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
5	11	0.7317980	7.7555618	0.7361179	5.972227	0.0133934	1.0515934	0.0989351	2.83500	0.6730042	3.90250	-0.7899310	5.23125	NA	-28.06671
5	12	0.5251606	8.4222290	0.4300340	5.972227	0.0078431	0.7713482	0.1401874	2.87875	0.8782607	3.85750	0.5378720	3.57375	NA	-28.06678
5	13	0.8188331	8.4388956	0.7558335	5.972227	0.0109356	0.8935489	-0.2641277	2.94125	0.9550743	3.34125	0.3701225	2.70625	NA	-28.06695
5	14	0.6465682	8.1250065	0.5791809	5.972227	0.0098095	0.7817373	0.1563777	2.66375	0.7196877	2.89250	0.7113930	3.98000	NA	-28.06678
5	15	0.8169349	7.9138952	0.6431810	5.972227	0.0115733	1.1423355	-0.0596689	2.63750	0.8066587	3.56875	0.6349033	3.96250	NA	33.89131
5	16	0.3145416	5.8777825	0.2536733	5.972227	0.0053349	0.8957168	-0.0790886	1.31750	0.8718923	2.91625	-0.6191655	4.62500	NA	33.89126
5	17	0.9338460	8.6555625	0.7375998	5.972227	0.0134278	0.9303085	-0.0701521	3.34375	0.8572800	3.85375	0.5974888	2.30000	NA	33.89120
5	18	1.1718319	8.3555622	0.9210075	5.972227	0.0157179	0.8324084	0.1334968	6.00250	0.9517574	4.21125	0.4306994	3.44250	NA	33.89111
5	19	1.5897994	8.6527847	1.3259390	5.972227	0.0228815	0.8729527	-0.3355639	2.68625	0.9395034	4.62625	0.3273462	2.58750	NA	48.44303
5	20	0.7861144	8.0861176	0.6464219	5.972227	0.0122151	0.5122453	-0.1405073	1.83125	0.9573051	3.34125	0.4067243	2.63625	NA	48.44330
5	21	1.5013878	8.0638953	1.1949779	5.972227	0.0229475	1.1341806	0.0013192	3.96250	0.9152150	3.56250	0.4335365	4.65875	NA	48.43242
5	22	0.6364736	7.5166727	0.6857958	5.944449	0.0095816	0.4357902	-0.1012383	2.46000	0.9889526	3.55500	0.4041902	2.73875	NA	48.44337
5	23	1.1537712	8.5694513	1.0400239	5.972227	0.0170677	1.3441852	-0.2473525	2.90750	0.9658130	3.26875	0.3430397	2.82375	NA	48.44312
5	24	1.5897994	8.6527847	1.3259390	5.972227	0.0228815	0.8729527	-0.3355639	2.68625	0.9395034	4.62625	0.3273462	2.58750	NA	48.44303
5	25	0.7861144	8.0861176	0.6464219	5.972227	0.0122151	0.5122453	-0.1405073	1.83125	0.9573051	3.34125	0.4067243	2.63625	NA	48.44330
5	26	1.5013878	8.0638953	1.1949779	5.972227	0.0229475	1.1341806	0.0013192	3.96250	0.9152150	3.56250	0.4335365	4.65875	NA	48.43242
5	27	0.6364736	7.5166727	0.6857958	5.944449	0.0095816	0.4357902	-0.1012383	2.46000	0.9889526	3.55500	0.4041902	2.73875	NA	48.44337
5	28	1.1537712	8.5694513	1.0400239	5.972227	0.0170677	1.3441852	-0.2473525	2.90750	0.9658130	3.26875	0.3430397	2.82375	NA	48.44312
5	29	0.7248425	8.9472294	0.7230194	5.972227	0.0106877	0.7940651	-0.0451318	5.17000	0.9230071	3.26125	0.4742045	2.85500	2.252953	48.84342
5	30	0.7873852	9.0166739	0.6977381	5.972227	0.0116650	0.5649681	0.1185169	2.28375	-0.8740538	3.26000	0.5264497	5.68375	2.253041	48.84344
5	31	1.1847430	7.3055614	1.0676259	5.972227	0.0158629	0.9374130	-0.1255563	2.84500	0.9016734	3.78750	0.4597461	2.44125	2.252889	48.84330
5	32	1.2466901	8.8416737	1.1328006	5.972227	0.0177467	0.9278229	-0.0737997	5.36750	0.8957727	4.35000	0.4675443	4.06000	2.253004	48.84338
5	33	1.2994850	8.4861179	1.1293428	5.972227	0.0183436	1.4668994	-0.1617879	2.85125	0.9341928	4.93125	0.4408779	3.48875	2.252874	48.84336
5	34	1.0444537	8.5611180	0.9831098	5.972227	0.0162432	1.4836109	-0.0369235	5.13375	0.8357343	4.51500	0.6022138	5.26375	2.253082	48.84337
5	35	0.6806325	6.0861160	0.6258265	5.972227	0.0084862	0.7621158	-0.0183309	1.42875	0.9468593	3.28000	0.4638934	2.31375	NA	37.77839
5	36	1.1668156	8.5194513	0.9296201	5.972227	0.0167299	1.0906322	-0.0835817	3.68125	0.7407747	3.22375	0.7160371	2.83250	NA	37.77839
5	37	0.5556114	7.8472285	0.4562070	5.972227	0.0092389	1.1238344	-0.0349462	4.24375	0.7885400	2.68750	0.6524913	3.11500	NA	37.77824
5	38	0.6347739	7.3138947	0.5610711	5.972227	0.0090651	0.7664156	-0.1658342	2.68625	0.7254039	3.43875	0.6894982	3.63875	NA	37.77826
6	1	0.6449793	6.9388944	0.5511188	5.972227	0.0111523	0.4263423	-0.0300204	3.23750	0.7288965	2.66625	0.7321917	2.62250	55.466604	24.99486
6	2	0.9683994	7.5944505	0.8308952	5.972227	0.0149127	0.8276041	-0.0249856	2.03875	0.7056622	2.70750	0.7604681	2.87000	55.466424	24.99488
6	3	0.7370371	8.3750067	0.6601615	5.944449	0.0116925	0.4635333	-0.2189378	1.76125	0.6924353	3.33000	0.7364727	2.50625	55.466378	24.99478
6	4	0.4017416	5.3638932	0.3461020	5.833338	0.0062176	0.1727263	-0.1684182	1.02125	0.6257088	2.38875	0.8066527	1.76625	55.467164	24.99371
6	5	0.9542473	6.0333382	0.8826286	5.944449	0.0176050	0.7737543	0.1424367	3.61125	0.6323900	3.18375	0.7492057	3.77500	55.466424	24.99493
6	6	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	7	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	8	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	9	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	10	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	11	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	12	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	13	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	14	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	15	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	16	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	17	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	18	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	19	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	20	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	21	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	22	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	23	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	24	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	25	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	26	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	27	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	28	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	29	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	30	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	31	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	32	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	33	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	34	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	35	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	36	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	37	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
6	38	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
7	1	1.3787313	7.4750060	1.1770564	5.972227	0.0224479	0.7071699	0.1580425	3.58375	0.7976608	3.36625	0.5330570	2.61875	55.466320	24.99504
7	2	0.8986879	7.3444503	0.7389839	5.972227	0.0154157	0.3865652	0.1780370	2.82375	0.7787056	3.05000	0.5744546	2.44250	55.466328	24.99487
7	3	1.0695974	8.7666737	0.8727232	5.972227	0.0171576	0.5368878	0.1321207	2.09375	0.8123939	2.94875	0.5443585	2.94375	55.466290	24.99488
7	4	1.5208179	7.3250059	1.1768209	5.944449	0.0257969	0.6826034	0.1694506	4.25000	0.8850451	4.40875	0.4330480	2.76250	55.467462	24.99343
7	5	1.6350225	7.8361174	1.3064997	5.972227	0.0279808	0.7941352	0.0633198	7.55375	0.9019167	3.48500	0.4193540	2.99750	55.466244	24.99507
7	6	0.6650483	5.3416709	0.5138928	5.972227	0.0099509	0.1616896	0.0135523	0.74125	0.7747596	2.55000	0.5973979	1.93750	NA	-33.88903
7	7	1.2900155	7.8472285	1.0925542	5.972227	0.0207892	0.7820078	0.1048611	5.30875	0.8081257	4.13625	0.5366821	3.51750	NA	-33.88903
7	8	1.5652436	7.9111174	1.2900690	5.972227	0.0265034	1.6283996	-0.0848728	4.79125	0.7610525	3.19500	0.5513533	3.48250	NA	-33.88910
7	9	1.1902860	8.5444513	1.0046669	5.972227	0.0196238	0.5561174	0.0029588	2.93750	0.8473480	3.52000	0.4978482	2.48375	NA	-33.88572
7	10	1.6027895	7.0333390	1.3101100	5.972227	0.0261235	0.8109112	0.2409819	2.35125	0.7215312	5.75125	0.6012075	3.24625	NA	-33.88901
7	11	0.5399318	4.3416701	0.5346871	5.972227	0.0068938	0.1697482	-0.1183774	1.03625	0.8642465	2.67625	0.4728874	1.61125	NA	-28.06011
7	12	1.3715702	8.5000068	1.2152367	5.972227	0.0219775	0.9480398	-0.0453828	3.47625	0.8312586	2.90375	0.5533197	2.40375	NA	-28.06667
7	13	1.0950722	8.5833402	0.9586355	5.972227	0.0173913	0.3711006	0.0758692	3.66000	0.8143628	2.93000	0.5385510	2.91875	NA	-28.06687
7	14	0.6425143	7.6666728	0.6232810	5.972227	0.0112485	0.3633873	0.0573303	3.08875	0.8637048	3.08750	0.5104882	3.09000	NA	-28.06681
7	15	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
7	16	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
7	17	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
7	18	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
7	19	0.9766046	7.1805613	0.8645546	5.972227	0.0172103	0.8314530	0.0923237	2.64375	0.8241957	2.86250	0.4766650	3.30375	NA	48.44325
7	20	1.7030441	7.7305617	1.3608259	5.972227	0.0281628	0.7354419	-0.0232873	5.11125	0.8303745	3.32750	0.5163232	2.94375	NA	48.44303
7	21	1.6484289	8.2916733	1.2782387	5.972227	0.0266289	1.2006629	0.0100062	3.82000	0.7629742	3.49875	0.5718554	3.07625	NA	48.44307
7	22	1.4427485	7.6833395	1.1443614	5.972227	0.0248502	1.1743568	0.0750758	2.60750	0.8521852	3.92000	0.4692389	3.19875	NA	48.42826
7	23	1.0784537	7.0888946	0.9727118	5.972227	0.0190498	0.5046384	0.0398883	2.54750	0.9036862	3.18750	0.4469571	2.79625	NA	48.44329
7	24	0.9766046	7.1805613	0.8645546	5.972227	0.0172103	0.8314530	0.0923237	2.64375	0.8241957	2.86250	0.4766650	3.30375	NA	48.44325
7	25	1.7030441	7.7305617	1.3608259	5.972227	0.0281628	0.7354419	-0.0232873	5.11125	0.8303745	3.32750	0.5163232	2.94375	NA	48.44303
7	26	1.6484289	8.2916733	1.2782387	5.972227	0.0266289	1.2006629	0.0100062	3.82000	0.7629742	3.49875	0.5718554	3.07625	NA	48.44307
7	27	1.4427485	7.6833395	1.1443614	5.972227	0.0248502	1.1743568	0.0750758	2.60750	0.8521852	3.92000	0.4692389	3.19875	NA	48.42826
7	28	1.0784537	7.0888946	0.9727118	5.972227	0.0190498	0.5046384	0.0398883	2.54750	0.9036862	3.18750	0.4469571	2.79625	NA	48.44329
7	29	1.6354395	7.9611175	1.4661677	5.972227	0.0285609	0.8019392	-0.2366253	4.24750	-0.6491583	3.45250	0.6717538	2.96875	2.252889	48.84330
7	30	1.2113271	6.1888938	1.0080656	5.972227	0.0195020	0.3163671	0.2359167	2.36000	0.8102227	3.38125	0.5629668	3.50000	2.252992	48.84338
7	31	0.7247996	6.7250054	0.6739473	5.944449	0.0133067	1.4943622	0.2954783	3.33625	0.5729909	2.48750	0.7102228	3.06000	2.252868	48.84352
7	32	1.5487378	8.3444511	1.3457368	5.972227	0.0257969	0.7285045	0.2144470	4.65875	0.7692895	3.28750	0.5535523	2.67875	2.252990	48.84329
7	33	1.3164641	8.1611176	1.1207881	5.972227	0.0211136	0.7724670	0.2708788	3.27375	0.8067024	3.17500	0.5100677	2.95875	2.252907	48.84339
7	34	1.4475729	8.0666731	1.3690822	5.972227	0.0249860	0.8820326	0.1494281	4.22125	0.7589021	3.84750	0.5694721	4.00625	2.252980	48.84332
7	35	1.4068051	8.3111178	1.2196875	5.972227	0.0222580	1.0548237	-0.1919620	2.71250	0.8894182	3.60125	0.4198615	3.82250	NA	37.77842
7	36	1.5291257	8.4277845	1.3877546	5.972227	0.0269593	0.7646596	-0.1128096	4.17125	0.8410852	3.95000	0.4613141	3.46750	NA	37.77853
7	37	1.6036347	8.1194509	1.2164588	5.972227	0.0237601	0.7525042	0.0627366	2.97000	0.9182137	3.48500	0.4299687	2.88000	NA	37.77837
7	38	1.4595873	8.2194510	1.2301639	5.972227	0.0234627	0.7926576	-0.2029491	2.29875	0.8951481	3.69375	0.4414963	3.00875	NA	37.77839
8	1	1.0308787	7.7611173	0.9777811	5.972227	0.0180514	0.6505980	-0.0736634	3.20250	0.7944890	5.80875	0.5307574	2.95750	55.466509	24.99496
8	2	0.8671169	8.0444509	0.7362595	5.944449	0.0138991	0.8096609	0.0412170	3.87500	0.8226832	4.59750	0.4842919	7.25625	55.466280	24.99491
8	3	1.4312564	8.1277843	1.1332385	5.972227	0.0232867	1.1407973	0.0196688	7.41250	0.9658863	5.65250	0.3374221	4.38375	55.466252	24.99498
8	4	1.4040091	7.7555618	1.1608570	5.972227	0.0235180	1.1987100	-0.0284594	2.94125	0.8729154	5.46125	0.4452399	2.51500	55.467456	24.99346
8	5	1.4440067	8.9611183	1.2070510	5.972227	0.0248290	1.3363349	0.0636939	4.50125	0.8360367	3.76625	0.4817111	4.93875	55.466352	24.99504
8	6	0.0068512	0.6416672	0.0435034	5.194449	0.0014743	0.1202672	-0.0015101	0.34375	0.3395893	2.31625	0.9135738	2.14125	NA	-33.88898
8	7	1.3475161	8.1833399	1.1004467	5.972227	0.0214327	1.2876255	0.0328820	3.28000	0.7752791	4.98250	0.6197045	3.15750	NA	-33.88022
8	8	1.4986102	8.0111175	1.1585433	5.972227	0.0238559	1.0084427	-0.0861598	4.09000	0.7404284	4.12000	0.6235019	3.41625	NA	-33.88909
8	9	0.8579491	7.0666723	0.7517455	5.972227	0.0145961	0.9295164	-0.0028779	2.92750	0.5119644	3.22750	0.7742533	3.77250	NA	-33.88918
8	10	1.0133566	7.8722285	0.8430168	5.972227	0.0167395	0.6690024	0.1057354	3.46500	0.7963776	3.43000	0.5840775	3.42500	NA	-33.88913
8	11	0.9205371	7.4027837	0.7187127	5.972227	0.0154746	0.3198380	-0.0474098	2.39375	0.8097093	4.71875	0.5422348	2.26500	NA	-28.06679
8	12	0.9343250	7.5972283	0.8250643	5.972227	0.0155891	1.3212967	-0.1021055	5.95000	0.6279837	5.00125	0.6853123	3.33000	NA	-28.06680
8	13	0.8271146	8.0527842	0.7434034	5.972227	0.0136694	0.6830570	-0.2338333	3.83500	0.7456058	3.81500	0.5357402	3.06250	NA	-28.06686
8	14	1.0410922	7.0444501	0.9306183	5.972227	0.0167733	1.0058201	0.0384019	3.48625	0.9254562	3.61125	0.3949331	3.15875	NA	-28.06688
8	15	1.2255688	7.2833392	0.9479445	5.972227	0.0202568	0.8858600	0.0570293	3.04125	0.7975915	3.92750	0.5998717	4.55625	NA	33.89113
8	16	1.1824673	7.6722284	0.9973425	5.972227	0.0199144	1.0054916	0.0092534	4.14000	0.6363419	3.93125	0.6712751	4.52125	NA	33.89126
8	17	1.2450895	8.1861177	0.9072885	5.972227	0.0202410	0.8046769	0.0250815	4.20375	0.7689496	4.66500	0.6312545	5.91500	NA	33.89117
8	18	1.2495859	8.5000068	0.9393826	5.972227	0.0194237	0.5281883	-0.0882987	3.67125	0.7909703	3.95625	0.5805343	3.21125	NA	33.89122
8	19	0.7109363	7.3555614	0.6544010	5.972227	0.0107902	0.6029179	-0.0988669	2.41250	0.8743162	4.72125	0.5407206	5.75875	NA	48.44337
8	20	1.6342249	7.5638949	1.3659829	5.972227	0.0260392	1.0114052	0.0302907	3.93125	0.7879161	4.26875	0.5843319	3.04875	NA	48.44304
8	21	1.6086302	7.8388952	1.1812478	5.944449	0.0248876	0.8963142	-0.1160217	2.52750	0.7840464	3.40750	0.5904198	2.16875	NA	48.44306
8	22	1.5089049	8.0444509	1.1950782	5.972227	0.0259975	1.0975093	0.0039907	5.75000	0.7952661	3.54625	0.5930635	4.47875	NA	48.43843
8	23	1.5734596	7.5555616	1.2030013	5.916671	0.0262409	0.9596793	0.0131341	4.91125	0.7984052	3.63375	0.5607611	3.48625	NA	48.44312
8	24	0.7109363	7.3555614	0.6544010	5.972227	0.0107902	0.6029179	-0.0988669	2.41250	0.8743162	4.72125	0.5407206	5.75875	NA	48.44337
8	25	1.6342249	7.5638949	1.3659829	5.972227	0.0260392	1.0114052	0.0302907	3.93125	0.7879161	4.26875	0.5843319	3.04875	NA	48.44304
8	26	1.6086302	7.8388952	1.1812478	5.944449	0.0248876	0.8963142	-0.1160217	2.52750	0.7840464	3.40750	0.5904198	2.16875	NA	48.44306
8	27	1.5089049	8.0444509	1.1950782	5.972227	0.0259975	1.0975093	0.0039907	5.75000	0.7952661	3.54625	0.5930635	4.47875	NA	48.43843
8	28	1.5734596	7.5555616	1.2030013	5.916671	0.0262409	0.9596793	0.0131341	4.91125	0.7984052	3.63375	0.5607611	3.48625	NA	48.44312
8	29	1.4062952	6.8472277	1.1497703	5.944449	0.0226180	1.2768412	-0.1159691	5.70375	0.7016369	3.47875	0.6479778	3.27000	2.252856	48.84331
8	30	1.1248313	7.4500060	0.9861356	5.972227	0.0167893	0.6028429	-0.0788222	2.03500	0.6428937	3.82500	0.6929484	2.45000	2.252980	48.84335
8	31	1.1008024	6.7388943	0.9273895	5.972227	0.0168946	1.0623557	0.0707958	2.54250	0.5358517	4.44625	0.7574519	3.35125	2.252844	48.84348
8	32	0.8761488	6.8083388	0.7163080	5.972227	0.0142625	1.3861704	-0.1568835	3.54500	0.5893586	5.93250	0.7142261	2.96625	2.252946	48.84344
8	33	0.5000994	6.1555605	0.4681133	5.972227	0.0081688	0.6072773	-0.0335533	2.48500	0.6997796	3.94250	0.6866468	3.14375	2.253025	48.84356
8	34	0.7842015	6.7194498	0.7951869	5.972227	0.0144399	0.8703253	0.0486583	5.10375	0.6952910	3.65250	0.6520617	2.85000	2.253002	48.84343
8	35	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
8	36	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
8	37	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
8	38	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	1	0.8654069	7.0944501	0.6706410	5.972227	0.0131785	0.6378797	-0.0141052	3.31875	0.7082184	3.99000	0.6789679	3.18500	55.466445	24.99500
9	2	0.7164100	7.7666729	0.5923513	5.972227	0.0117283	0.6488837	0.0564551	2.71875	0.6171185	3.86375	0.6962263	3.42750	55.466295	24.99490
9	3	1.0152302	7.9083397	0.7371153	5.972227	0.0167047	0.8063894	-0.0977795	2.59125	0.6823464	3.49375	0.6707538	4.66125	55.466296	24.99489
9	4	1.1237489	6.9666722	0.9479589	5.944449	0.0179425	0.6654158	-0.0054026	2.75250	-0.7506019	4.30750	0.6624778	3.04625	55.467351	24.99352
9	5	1.1698172	7.4666726	0.9024281	5.972227	0.0188792	0.5562711	0.0212986	3.19500	0.6009119	3.50750	0.7388145	3.09750	55.466457	24.99505
9	6	1.6587227	7.2222280	1.2732623	5.916671	0.0258092	0.6768297	0.0711697	3.13625	0.8357476	4.26625	0.5174932	3.02375	NA	-33.88910
9	7	0.6384370	7.7138951	0.5461665	5.888894	0.0099224	0.4238746	-0.0210403	3.72500	0.7615277	3.60250	0.6023735	2.59875	NA	-33.88910
9	8	0.8378978	7.5916727	0.6253174	5.944449	0.0181816	1.7705945	0.0081906	3.02000	0.6013650	3.78625	0.7587943	2.82000	NA	-33.88575
9	9	0.8266268	6.5444497	0.6158359	5.972227	0.0136501	0.6830358	0.0418297	2.35000	0.6862847	3.16750	0.7119273	2.90125	NA	-33.88909
9	10	1.0975521	7.0527834	0.8995679	5.972227	0.0172222	1.0837676	-0.1393993	3.73875	0.7430361	4.49500	0.5894805	3.23125	NA	-33.88901
9	11	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	12	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	13	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	14	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	15	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	16	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	17	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	18	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	19	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	20	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	21	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	22	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	23	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	24	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	25	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	26	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	27	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	28	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	29	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	30	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	31	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	32	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	33	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	34	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	35	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	36	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	37	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
9	38	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	1	1.5119687	8.8416737	1.1217934	5.972227	0.0235383	1.2140523	0.0579638	2.70125	0.8124956	3.63500	0.6356682	3.84000	55.465536	24.99478
10	2	0.5435749	7.7472284	0.4532115	5.972227	0.0085134	0.7786644	-0.1244456	3.99750	0.5302512	3.49500	0.8421655	2.15500	55.466414	24.99478
10	3	1.8725542	8.0833398	1.3704075	5.972227	0.0275521	0.9373437	0.2650860	2.97875	0.7628407	3.57500	0.6536882	3.26375	55.466299	24.99494
10	4	1.6692457	8.9083405	1.1809682	5.972227	0.0237293	0.6102712	-0.4175213	1.97250	0.8961792	3.62500	0.4063290	5.11000	55.467410	24.99351
10	5	1.7623746	8.5222290	0.0000000	0.000000	0.0307268	1.6813633	0.1086121	5.35250	0.7261533	5.84375	0.6869579	3.90875	55.466274	24.99505
10	6	1.8373039	8.2472288	1.2928117	5.972227	0.0268510	0.7508195	0.0280061	4.36500	0.8321426	3.49875	0.6557532	3.35125	NA	-33.88917
10	7	1.4949327	8.1805621	1.1501412	5.972227	0.0223832	1.4759034	0.2481048	5.38250	0.7530752	3.97250	0.6523549	3.09000	NA	-33.88905
10	8	1.4281775	8.6000069	1.1026504	5.972227	0.0229923	0.9563812	0.0841359	3.23500	0.7501902	4.56125	0.6793913	3.31625	NA	-33.88906
10	9	1.4043209	6.7666721	1.1718431	5.972227	0.0221323	0.8896040	0.2327127	2.92750	0.7941702	3.27500	0.6248487	3.11375	NA	-33.88912
10	10	1.5869458	7.9944508	1.3211770	5.972227	0.0240465	1.3494811	0.0566580	4.85750	-0.8619090	2.99875	-0.5858898	1.73250	NA	-33.88902
10	11	0.8077376	7.7000062	0.7853949	5.972227	0.0146396	0.5012345	0.1991696	3.30125	0.8365812	4.08500	0.5170114	3.04125	NA	-28.06679
10	12	1.4261703	8.3361178	1.1511518	5.972227	0.0213872	1.1147772	-0.0647070	4.79625	0.8242884	4.79750	0.6007063	4.89375	NA	-28.06669
10	13	1.2540170	8.1055620	0.9389885	5.972227	0.0194957	1.0391695	0.0174910	5.72250	0.7387871	3.54125	0.6665819	2.82375	NA	-28.06686
10	14	1.5146328	8.3611178	1.2045326	5.972227	0.0234002	0.8690608	-0.1063237	5.18000	0.8731825	4.35125	0.5051682	5.91000	NA	-28.06690
10	15	1.4694248	7.9083397	1.1184037	5.972227	0.0225891	0.8363428	-0.2073724	3.40125	0.8296817	4.09250	0.5036388	3.58125	NA	33.88439
10	16	1.4183019	7.7805618	1.0878548	5.972227	0.0222538	1.1783066	-0.1364714	4.71875	0.9238029	4.50875	0.4124241	2.64250	NA	33.89112
10	17	1.6910548	8.5194513	1.3027812	5.972227	0.0269323	1.1980412	-0.0931740	5.06250	0.8521737	5.54750	0.5084570	4.84875	NA	33.89113
10	18	1.3202073	7.6972284	0.9987370	5.972227	0.0223147	0.8798242	0.2652816	6.43000	0.8608176	4.05875	0.4565956	3.60000	NA	33.89119
10	19	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	20	0.8572746	7.9055619	0.7611298	5.972227	0.0133194	0.6869166	-0.2612045	3.36000	0.8684902	3.53125	0.4286761	3.18250	NA	48.44328
10	21	1.1318160	8.1361176	0.9998768	5.972227	0.0182925	0.5612448	0.1917697	3.44000	0.8772580	4.00875	0.4332887	4.15750	NA	48.44324
10	22	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	23	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	24	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	25	0.8572746	7.9055619	0.7611298	5.972227	0.0133194	0.6869166	-0.2612045	3.36000	0.8684902	3.53125	0.4286761	3.18250	NA	48.44328
10	26	1.1318160	8.1361176	0.9998768	5.972227	0.0182925	0.5612448	0.1917697	3.44000	0.8772580	4.00875	0.4332887	4.15750	NA	48.44324
10	27	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	28	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	29	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	30	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	31	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	32	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	33	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	34	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
10	35	1.3724466	8.4583401	1.0251420	5.972227	0.0212179	1.2171475	-0.0288798	2.78000	0.9110349	3.96750	0.4187298	4.87750	NA	37.77841
10	36	1.3710074	7.8944508	1.2100165	5.972227	0.0224294	1.0186678	0.0116809	3.92625	0.8562380	4.10250	0.5076760	3.37375	NA	37.77850
10	37	1.2468335	8.1138954	0.9082016	5.972227	0.0183513	1.5896089	-0.0487482	3.83750	0.8255454	4.36000	0.5789285	2.31375	NA	37.77836
10	38	0.4187830	7.1361168	0.4974884	5.916671	0.0085493	1.1255242	0.2182481	2.62875	0.6760572	3.58500	0.6566025	4.44625	NA	37.77824
11	1	1.1329488	7.6444506	0.9767612	5.972227	0.0211365	0.9814635	0.2220045	3.91125	0.8177598	3.23625	0.5948260	2.89750	55.466482	24.99500
11	2	0.9444082	6.8666722	0.7684728	5.972227	0.0166183	0.5628548	0.0804035	2.11375	0.7981163	4.86375	0.6319423	3.12000	55.466360	24.99492
11	3	1.0954917	7.0166723	0.8359692	5.944449	0.0190604	0.8690432	-0.1110036	3.20875	0.9041372	4.10500	0.5610811	2.48750	55.466284	24.99490
11	4	0.6739336	7.0111167	0.6227134	5.972227	0.0132708	1.1165924	0.3244478	6.15125	0.7732998	3.15875	0.5964518	3.14125	55.467227	24.99356
11	5	1.1401020	6.8527833	0.9349991	5.972227	0.0211831	0.7206544	-0.0441816	2.81625	0.7603640	3.80625	0.6707251	2.99250	55.466476	24.99503
11	6	0.9591575	6.4638941	0.7063724	5.972227	0.0169275	0.6001305	0.0558240	2.21375	0.6513231	3.89375	0.8058943	4.78750	NA	-33.88900
11	7	0.8769744	6.9694500	0.7409901	5.972227	0.0150325	0.6123836	-0.0194200	2.61375	0.7213022	3.01000	0.7756332	3.68375	NA	-33.88921
11	8	0.7069599	6.3555606	0.5679929	5.972227	0.0135275	0.5022167	0.0319521	4.02875	0.6979986	3.08875	0.8174040	2.87875	NA	-33.88901
11	9	0.6989067	8.2055621	0.5842936	5.972227	0.0122760	0.3232076	-0.0097941	2.05375	0.6786679	2.65750	0.8072461	2.85125	NA	-33.88922
11	10	0.9871949	7.8611174	0.7389928	5.972227	0.0176843	1.1374973	0.2224264	3.51750	0.9362697	3.23625	0.4736261	2.93625	NA	-33.88911
11	11	1.8185196	7.6833395	1.3139270	5.972227	0.0282057	0.9385358	0.1098039	5.24000	0.7370143	3.47625	0.6906817	3.16500	NA	-28.06680
11	12	1.1181127	6.9305611	0.9471186	5.972227	0.0179876	0.4158298	-0.2019906	2.46500	0.6961352	3.14500	0.7423135	2.86250	NA	-28.06679
11	13	1.0557954	7.6361172	0.8575624	5.972227	0.0171710	0.6376324	-0.0472773	3.67000	0.7202303	2.88875	0.7508771	2.97625	NA	-28.06685
11	14	0.6960214	8.6333402	0.7021378	5.972227	0.0122974	0.5955990	-0.0670269	6.14250	0.7817143	2.97000	0.7334412	3.43000	NA	-28.06685
11	15	0.9186701	7.1722280	0.7383380	5.972227	0.0150819	0.3702015	-0.0220054	2.27750	0.7522238	3.87500	0.6955772	3.06875	NA	33.89131
11	16	1.1351525	7.3416725	0.9508152	5.972227	0.0187284	0.5361829	-0.3605222	2.40875	0.6328552	3.82750	0.7320290	3.00125	NA	33.89113
11	17	1.1567382	7.9944508	0.9426209	5.972227	0.0187553	0.4985191	-0.1241898	3.77125	0.7974583	2.87750	0.6549063	3.06000	NA	33.89118
11	18	1.3633585	7.0083389	1.0365822	5.972227	0.0222606	1.0064094	-0.1105426	2.90750	0.6856615	3.22625	0.7765790	2.95000	NA	33.89114
11	19	0.9611618	6.6222275	0.8088290	5.972227	0.0178771	0.9236125	0.0581636	2.48875	0.8686678	3.10625	0.5792884	2.63375	NA	48.43853
11	20	1.2109406	7.8805619	0.9510047	5.972227	0.0195171	0.7362804	-0.0321269	2.60875	0.8477073	3.02000	0.6036256	4.78250	NA	48.43818
11	21	1.5473654	7.3111170	1.1151542	5.972227	0.0275896	0.7872375	0.0116972	3.72875	0.9202959	3.49500	0.4727084	4.10000	NA	48.44315
11	22	1.1800031	8.0416731	0.9826206	5.944449	0.0206110	0.5525153	0.1611355	2.65125	0.9523249	3.92875	0.4301253	3.46750	NA	48.44322
11	23	1.8695886	7.4166726	1.3631907	5.972227	0.0288251	0.7870360	-0.1391284	2.21750	0.7974574	3.16375	0.6732095	3.04125	NA	48.44322
11	24	0.9611618	6.6222275	0.8088290	5.972227	0.0178771	0.9236125	0.0581636	2.48875	0.8686678	3.10625	0.5792884	2.63375	NA	48.43853
11	25	1.2109406	7.8805619	0.9510047	5.972227	0.0195171	0.7362804	-0.0321269	2.60875	0.8477073	3.02000	0.6036256	4.78250	NA	48.43818
11	26	1.5473654	7.3111170	1.1151542	5.972227	0.0275896	0.7872375	0.0116972	3.72875	0.9202959	3.49500	0.4727084	4.10000	NA	48.44315
11	27	1.1800031	8.0416731	0.9826206	5.944449	0.0206110	0.5525153	0.1611355	2.65125	0.9523249	3.92875	0.4301253	3.46750	NA	48.44322
11	28	1.8695886	7.4166726	1.3631907	5.972227	0.0288251	0.7870360	-0.1391284	2.21750	0.7974574	3.16375	0.6732095	3.04125	NA	48.44322
11	29	1.0847469	7.5527838	0.9556312	5.972227	0.0197386	2.0721410	0.0570769	3.60625	0.8625542	4.10125	0.5711609	4.45125	2.252989	48.84343
11	30	0.6353776	6.6222275	0.6294805	5.944449	0.0112747	0.7692007	0.0175404	2.10875	0.8917142	3.40875	0.5731946	3.50375	2.252950	48.84176
11	31	1.5835727	7.4666726	1.2442327	5.972227	0.0271895	0.9142690	0.0117155	4.90250	0.8933662	4.27250	0.4838551	5.34000	2.252888	48.84335
11	32	1.3465706	8.0138953	1.1147333	5.972227	0.0224778	0.4944777	-0.2654760	4.45125	0.8852853	3.35125	0.4803006	2.88125	2.252854	48.84238
11	33	1.0498704	7.2138947	0.8759863	5.972227	0.0194105	1.3243243	0.0064421	2.94250	0.9243265	4.04625	0.4815573	5.00375	2.253009	48.84349
11	34	1.2605802	6.4305607	1.1525315	5.972227	0.0215829	0.6901779	0.0309789	3.14750	0.8709407	3.62000	0.5214005	3.37750	2.253024	48.84338
11	35	1.8357416	8.4111178	1.3519610	5.972227	0.0295789	1.1918429	-0.0040872	2.70250	0.8114768	4.64875	0.6535046	2.99750	NA	37.77847
11	36	1.3116439	5.8888936	1.1470008	5.972227	0.0242038	0.8176387	-0.1160389	3.59000	0.7196789	5.63750	0.6964719	3.24000	NA	37.77848
11	37	1.5116255	7.8138951	1.2463924	5.972227	0.0273721	0.6838916	0.0562838	5.33500	0.7809836	4.13125	0.6238953	4.04125	NA	37.77839
11	38	1.1091167	6.5611164	1.0146806	5.972227	0.0214688	1.0073213	-0.0002397	2.89375	0.8756197	4.00375	0.5117605	3.35250	NA	37.77832
12	1	1.5317122	5.9222270	1.2010468	5.972227	0.0271759	1.0766926	0.0369898	2.20500	0.8817968	3.42000	0.4686812	2.82625	55.466327	24.99507
12	2	0.9494142	7.3805615	0.7907993	5.972227	0.0162655	0.5526614	0.0962598	2.22000	0.8405267	3.33250	0.5495368	3.18625	55.466341	24.99495
12	3	1.8289581	6.7361165	1.2916214	5.972227	0.0289222	0.6016205	0.1439721	2.72500	0.9702555	4.54500	0.4131401	2.77625	55.466237	24.99509
12	4	1.4491416	7.2305613	1.1494059	5.972227	0.0242950	0.8291323	0.1022639	5.28250	0.7831222	3.58125	0.6324542	3.22125	55.467426	24.99350
12	5	0.9832579	6.7611165	0.8234724	5.972227	0.0159022	0.4429989	0.0902242	2.31625	0.6585362	2.87750	0.7471757	2.71000	55.466369	24.99495
12	6	1.5534563	7.5611172	1.2191317	5.972227	0.0270324	1.1170212	0.1392228	2.14625	0.9397935	3.41500	0.4311193	2.79625	NA	-33.88911
12	7	1.1612825	6.4833385	0.9033328	5.972227	0.0188033	0.3642290	0.2487089	2.43750	0.8632247	3.52125	0.4800882	2.81000	NA	-33.91136
12	8	1.2881722	6.0861160	0.9509165	5.972227	0.0216150	0.5077609	-0.0728238	3.12625	0.8550013	3.27000	0.5755418	2.74125	NA	-33.88908
12	9	0.9208101	6.0055604	0.7450957	5.972227	0.0159731	0.5346195	0.1261637	3.28250	0.8286311	3.23000	0.5839443	2.98500	NA	-33.88921
12	10	0.5906849	5.4638933	0.5075262	5.972227	0.0111849	0.3853480	0.1364192	2.10500	0.9141568	3.27375	0.4736513	2.29750	NA	-33.88919
12	11	1.7574872	6.3166717	1.3597218	5.972227	0.0286302	0.7771652	0.1118927	2.22875	0.9241817	5.64875	0.4689100	4.37750	NA	-28.06680
12	12	0.2839421	5.1000041	0.3173951	5.972227	0.0047023	0.1543443	0.0893622	1.17000	0.6110700	2.88625	0.7582538	1.80625	NA	-28.06689
12	13	0.8442862	6.8527833	0.6764979	5.972227	0.0143523	0.4713960	0.1604644	2.19875	0.7395120	3.94375	0.6350952	3.12500	NA	-28.06692
12	14	1.1971274	7.3750059	0.9554507	5.972227	0.0198408	0.3621393	0.0201827	1.94000	0.9229728	3.72625	0.4794067	2.72125	NA	-28.06683
12	15	0.7360024	6.7111165	0.6277999	5.972227	0.0124005	0.3053537	-0.0185705	2.02500	0.9021039	3.45250	0.5200042	2.93125	NA	33.89125
12	16	0.2571896	6.0500048	0.3479206	5.972227	0.0050043	0.2613918	0.0133430	1.16625	0.6372913	3.21625	0.7524190	1.78500	NA	33.89138
12	17	1.0285164	6.5833386	0.8083718	5.972227	0.0175870	0.6644367	0.0568679	2.03750	0.7525020	4.63500	0.6558553	2.49125	NA	33.89125
12	18	1.6703015	7.7138951	1.2610552	5.972227	0.0293888	0.8222308	0.0494411	4.61250	0.7999963	3.41000	0.5830939	3.09875	NA	33.89119
12	19	1.3893127	6.5361163	1.1742685	5.972227	0.0232371	0.4709563	0.0073288	3.01875	0.9270253	3.51000	0.4657113	2.68625	NA	48.44322
12	20	1.1462011	7.2194502	0.9436154	5.972227	0.0201825	0.9102157	-0.0662833	2.74625	0.8263931	4.08500	0.5679369	2.80125	NA	48.44326
12	21	0.5325280	4.5500036	0.4330384	5.944449	0.0076133	0.1897717	0.0909617	1.03375	1.0166042	2.96625	0.3690787	1.72875	NA	48.44342
12	22	0.6908699	5.4027821	0.5469450	5.972227	0.0119049	1.0904904	0.0883288	3.54750	0.9494395	3.09750	0.4210574	2.88500	NA	48.44338
12	23	0.5114826	5.9916715	0.5137356	5.972227	0.0082373	0.2304807	0.2433538	1.80125	0.9677154	3.11500	0.3517069	1.99500	NA	48.44341
12	24	1.3893127	6.5361163	1.1742685	5.972227	0.0232371	0.4709563	0.0073288	3.01875	0.9270253	3.51000	0.4657113	2.68625	NA	48.44322
12	25	1.1462011	7.2194502	0.9436154	5.972227	0.0201825	0.9102157	-0.0662833	2.74625	0.8263931	4.08500	0.5679369	2.80125	NA	48.44326
12	26	0.5325280	4.5500036	0.4330384	5.944449	0.0076133	0.1897717	0.0909617	1.03375	1.0166042	2.96625	0.3690787	1.72875	NA	48.44342
12	27	0.6908699	5.4027821	0.5469450	5.972227	0.0119049	1.0904904	0.0883288	3.54750	0.9494395	3.09750	0.4210574	2.88500	NA	48.44338
12	28	0.5114826	5.9916710	0.5137356	5.972227	0.0082373	0.2304807	0.2433538	1.80125	0.9677154	3.11500	0.3517069	1.99500	NA	48.44341
12	29	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	30	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	31	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	32	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	33	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	34	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	35	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	36	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	37	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
12	38	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
13	1	0.7086484	7.9944508	0.6568116	5.972227	0.0124926	0.6293921	-0.1313179	4.06625	0.6819531	3.82375	0.7008132	3.71750	55.466533	24.99492
13	2	1.4340241	7.5055616	1.1263311	5.972227	0.0227817	1.3397510	-0.0949296	5.29625	0.8732704	3.56250	0.4908900	6.14625	55.466301	24.99498
13	3	1.0268066	6.8583388	0.8534069	5.972227	0.0170019	0.7425104	-0.0227386	2.78000	0.7766204	3.75250	0.6029652	3.01250	55.466291	24.99493
13	4	0.5683718	6.6500053	0.4860180	5.972227	0.0097190	0.4359716	0.0202937	1.79625	0.7016536	4.01000	0.6661885	2.19375	55.467239	24.99364
13	5	1.2137886	7.9138952	1.0095475	5.972227	0.0216776	0.7717520	-0.0490947	5.29250	0.7662189	5.06000	0.5765227	3.62875	55.466441	24.99502
13	6	1.7625569	7.9055619	1.2602271	5.944449	0.0284930	0.5177363	0.0214877	3.09750	0.9142350	3.67250	0.4697512	3.11625	NA	-33.88915
13	7	0.7579863	7.6111172	0.6600505	5.972227	0.0119833	0.4305906	0.0517049	2.32375	0.7510457	3.88375	0.6306099	2.23000	NA	-33.88912
13	8	0.9760361	6.9333389	0.7762114	5.972227	0.0170796	0.7315690	-0.0067090	5.37625	0.7284776	4.02750	0.6512477	2.70500	NA	-33.88907
13	9	0.8600713	6.5000052	0.6816843	5.944449	0.0153741	0.4777941	0.0301594	2.27500	0.7311711	4.41500	0.6408405	3.87375	NA	-33.88909
13	10	0.6066848	6.1500049	0.6169450	5.972227	0.0110632	0.4629449	0.0193191	3.27375	0.7642672	4.03500	0.5830722	3.46375	NA	-33.88907
13	11	1.6460324	7.5416727	1.3336619	5.972227	0.0259985	0.6895121	0.0642187	3.59875	0.8943769	4.10125	0.4776744	3.88125	NA	-28.06681
13	12	0.4865385	6.3138939	0.5082294	5.972227	0.0090287	0.3172676	-0.0395360	1.62000	0.6738551	3.89625	0.6402601	2.34250	NA	-28.06680
13	13	0.9351577	7.1027835	0.7736045	5.972227	0.0161558	0.7294702	0.0076025	4.15875	0.7478319	3.58375	0.5844463	2.66375	NA	-28.06685
13	14	0.9139146	7.0666723	0.7983908	5.972227	0.0154935	0.5144972	0.0932839	2.36500	0.7145270	3.80500	0.6558845	2.80125	NA	-28.06677
13	15	0.8674478	7.7361173	0.7584253	5.972227	0.0147708	0.9073337	-0.0144591	3.69500	0.9001129	3.83500	0.4435967	3.42625	NA	33.89121
13	16	0.3883882	5.8583380	0.4805657	5.972227	0.0072451	1.3204150	0.1725913	2.04000	0.7859103	3.42000	0.5732870	4.26500	NA	33.89124
13	17	0.8543480	7.4333393	0.7324242	5.972227	0.0140349	0.4754795	0.1581374	3.30500	0.9406755	3.80000	0.3691779	2.82250	NA	33.89125
13	18	0.8834315	7.7027839	0.7458392	5.972227	0.0150391	0.9217481	0.1373066	2.42750	0.8968046	3.50875	0.4270756	3.81625	NA	33.89119
13	19	0.5492168	7.5416727	0.5543088	5.972227	0.0099858	0.4388044	-0.0026202	3.37500	0.7394608	3.35500	0.6536148	4.79875	NA	48.44335
13	20	0.9390311	6.7805610	0.8456086	5.972227	0.0153122	0.5670944	0.0928037	2.03125	0.8231930	3.38000	0.5249091	2.39250	NA	48.44327
13	21	1.6115505	7.5388949	1.2325616	5.972227	0.0258400	0.9719175	0.0404612	1.93000	0.8796638	5.33750	0.4606881	3.26875	NA	48.44318
13	22	1.0446212	7.5277838	0.8777201	5.972227	0.0171099	0.5619848	0.0796671	2.27750	0.8117948	3.95625	0.5411896	3.68875	NA	48.43848
13	23	1.1852722	7.2194502	1.0424440	5.972227	0.0200475	0.8375829	0.1135275	3.64000	0.8192021	3.27500	0.5115429	3.55625	NA	48.44318
13	24	0.5492168	7.5416727	0.5543088	5.972227	0.0099858	0.4388044	-0.0026202	3.37500	0.7394608	3.35500	0.6536148	4.79875	NA	48.44335
13	25	0.9390311	6.7805610	0.8456086	5.972227	0.0153122	0.5670944	0.0928037	2.03125	0.8231930	3.38000	0.5249091	2.39250	NA	48.44327
13	26	1.6115505	7.5388949	1.2325616	5.972227	0.0258400	0.9719175	0.0404612	1.93000	0.8796638	5.33750	0.4606881	3.26875	NA	48.44318
13	27	1.0446212	7.5277838	0.8777201	5.972227	0.0171099	0.5619848	0.0796671	2.27750	0.8117948	3.95625	0.5411896	3.68875	NA	48.43848
13	28	1.1852722	7.2194500	1.0424440	5.972227	0.0200475	0.8375829	0.1135275	3.64000	0.8192021	3.27500	0.5115429	3.55625	NA	48.44318
13	29	0.9217842	6.4638941	0.7830075	5.972227	0.0152935	0.4237865	0.0609207	1.96750	0.7712458	4.87750	0.6085980	2.47875	2.253004	48.84344
13	30	1.0943285	7.8805619	0.9669524	5.972227	0.0171526	0.4861889	0.0905367	2.02500	0.8324852	4.02000	0.5366646	2.62250	2.253000	48.84342
13	31	0.8237267	7.3861170	0.7664810	5.972227	0.0130955	0.5137256	-0.0031486	3.12000	0.7623328	4.06750	0.6036246	2.56125	2.252894	48.84343
13	32	1.0298464	6.8138943	0.9300777	5.972227	0.0248156	0.5074810	-0.0662261	3.05250	0.7844801	4.14500	0.5519643	2.96500	2.252896	48.84188
13	33	1.0030908	6.1416716	0.9405807	5.972227	0.0184188	0.6599390	0.0996191	4.74250	0.7177374	3.64125	0.5998427	2.99500	2.252819	48.84344
13	34	0.9170059	7.0972279	0.8688187	5.972227	0.0176882	0.6459781	-0.0655496	3.63250	0.8050445	4.03250	0.5043159	3.86000	2.252965	48.84339
13	35	0.8843174	7.1527835	0.7647131	5.944449	0.0140202	0.7088621	0.0553723	2.10000	0.7903803	3.50625	0.5366065	3.98250	NA	37.77841
13	36	0.6083778	7.1027835	0.5725092	5.972227	0.0114373	0.6612275	0.0091233	2.57250	0.7625051	3.42875	0.5485146	3.24125	NA	37.77833
13	37	1.0489711	7.0305612	0.8548164	5.972227	0.0167835	0.5190046	0.0417698	2.28000	0.7872980	4.05750	0.5217253	2.62875	NA	37.77832
13	38	1.0075963	7.0861168	0.8982270	5.972227	0.0175849	0.8638630	-0.0317937	4.11500	0.7633057	4.58375	0.5617262	3.17625	NA	37.77827
14	1	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	2	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	3	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	4	0.6377253	7.7055617	0.7464310	5.972227	0.0095990	0.4327672	0.2053272	2.72500	-0.9242350	1.90875	-0.4873860	0.63875	NA	48.44319
14	5	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	6	0.0416681	1.7055569	0.1329170	5.972227	0.0022288	0.0736065	-0.0419610	0.64875	-0.5264696	1.17125	-0.9192757	-0.14375	NA	-33.88899
14	7	0.3230153	6.0027826	0.3518655	5.972227	0.0056886	0.3324170	0.0255684	1.99000	0.6401134	3.28875	-0.8151680	0.24000	NA	-33.88920
14	8	0.4819424	5.2000042	0.4447155	5.916671	0.0078794	0.1868925	-0.1484562	1.38375	0.5442074	2.47625	0.8160232	2.07750	NA	-33.88902
14	9	0.5513227	6.0611160	0.5581690	5.972227	0.0096064	0.5020010	0.0404796	3.49375	0.5003206	2.31875	-0.9205619	1.54250	NA	-33.91742
14	10	0.5134479	6.1555605	0.5286291	5.944449	0.0093641	0.3643553	-0.0789089	2.20500	-0.6091450	1.95625	-0.8535101	0.51500	NA	-33.88914
14	11	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	12	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	13	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	14	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	15	1.5295857	6.7277832	1.1633056	5.972227	0.0276625	0.8877345	0.0337197	3.38125	-0.8229386	2.99625	-0.6103788	2.81500	NA	33.89115
14	16	1.1968628	7.6944506	1.0263181	5.916671	0.0234457	0.9700126	-0.0181918	3.43000	0.7556461	3.34375	-0.6551101	2.44875	NA	33.89120
14	17	1.0090596	6.8666722	0.8030407	5.944449	0.0176351	0.3879623	0.0196302	2.01375	-0.8473744	2.11500	-0.6416071	0.59125	NA	33.89131
14	18	1.1629186	8.0500064	0.9432846	5.972227	0.0213152	1.1212616	-0.0434660	2.58375	-0.8488769	2.60125	-0.6467696	3.38125	NA	33.89121
14	19	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	20	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	21	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	22	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	23	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	24	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	25	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	26	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	27	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	28	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	29	0.5353562	7.3527837	0.5624323	5.972227	0.0100746	0.3378143	0.1838901	2.73875	-0.7830200	1.59875	-0.6649805	0.53000	2.253119	48.84354
14	30	0.6733223	7.4722282	0.7358816	5.972227	0.0132944	1.3126463	0.0986007	2.36125	-0.8317486	2.63000	-0.6047626	1.13625	2.253060	48.84352
14	31	0.4330630	5.7611157	0.4524920	5.944449	0.0072656	0.2499178	-0.0584165	0.96750	0.8379525	3.22500	-0.6460837	0.81125	2.252956	48.84371
14	32	0.4480549	7.1194501	0.4705382	5.972227	0.0086043	0.4439378	0.0163073	1.42625	-0.6989945	1.57000	-0.7950503	0.61000	2.252898	48.84369
14	33	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	34	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
14	35	0.5376443	5.6444490	0.5394507	5.944449	0.0082885	0.4046542	0.0776518	2.22875	0.7339043	2.60250	-0.7935689	0.17750	NA	37.77832
14	36	0.2585033	5.2416709	0.3739303	5.888894	0.0045323	0.1554146	0.1686718	1.28625	0.7450578	2.77375	-0.7610783	0.58375	NA	37.77829
14	37	0.1987647	4.2638923	0.2895898	5.944449	0.0036334	0.1791414	0.0110991	1.09625	-0.7837030	1.36250	-0.7355293	0.22500	NA	37.77819
14	38	0.6960191	7.4333393	0.6638147	5.972227	0.0116856	0.8760604	-0.1634317	2.26125	-0.6020071	2.83875	-0.8418335	1.46750	NA	37.77824
15	1	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	2	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	3	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	4	0.4508549	4.6972260	0.7311369	5.944449	0.0069219	0.3001736	-0.0701699	2.46375	0.9276792	3.00875	0.4412328	3.02000	NA	48.44313
15	5	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	6	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	7	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	8	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	9	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	10	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	11	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	12	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	13	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	14	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	15	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	16	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	17	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	18	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
15	19	0.9939897	6.5777830	0.8242145	5.972227	0.0169931	0.6332761	0.1491897	3.04750	0.9459862	3.21500	0.3474349	3.74125	NA	48.44328
15	20	0.6190476	6.9194500	0.5906588	5.972227	0.0117472	0.9983788	-0.0362221	4.23250	0.9474491	3.44750	0.3528362	2.51125	NA	48.44334
15	21	0.0993496	4.3638924	0.2218412	5.944449	0.0029483	0.1469528	-0.1496917	1.19000	0.9555287	3.28750	0.3376195	2.03125	NA	48.44346
15	22	1.1148425	6.9888945	0.9705510	5.972227	0.0186096	0.6701419	0.2730343	4.56250	0.8373919	4.28125	0.4735550	4.96500	NA	48.44330
15	23	0.5385065	6.2638939	0.6306015	5.972227	0.0098531	0.7277127	-0.0973510	2.58625	0.9530010	4.34375	0.3310978	3.41125	NA	48.44341
15	24	0.9939897	6.5777830	0.8242145	5.972227	0.0169931	0.6332761	0.1491897	3.04750	0.9459862	3.21500	0.3474349	3.74125	NA	48.44328
15	25	0.6190476	6.9194500	0.5906588	5.972227	0.0117472	0.9983788	-0.0362221	4.23250	0.9474491	3.44750	0.3528362	2.51125	NA	48.44334
15	26	0.0993496	4.3638924	0.2218412	5.944449	0.0029483	0.1469528	-0.1496917	1.19000	0.9555287	3.28750	0.3376195	2.03125	NA	48.44346
15	27	1.1148425	6.9888945	0.9705510	5.972227	0.0186096	0.6701419	0.2730343	4.56250	0.8373919	4.28125	0.4735550	4.96500	NA	48.44330
15	28	0.5385065	6.2638939	0.6306015	5.972227	0.0098531	0.7277127	-0.0973510	2.58625	0.9530010	4.34375	0.3310978	3.41125	NA	48.44341
15	29	0.0701438	6.2694495	0.1725099	5.861116	0.0031321	0.4866520	0.2434423	2.96000	0.8307119	2.89750	0.5550796	2.49625	2.253154	48.84357
15	30	0.7448162	8.2833400	0.6270627	5.972227	0.0114504	0.3921290	-0.5363607	1.69500	-0.6843966	2.04875	0.6035908	2.48250	2.253020	48.84350
15	31	0.6012971	6.9750056	0.5968628	5.972227	0.0116229	0.7316344	-0.0325727	4.96125	-0.6765442	3.44875	0.8080612	5.38875	2.252916	48.84360
15	32	0.1768045	4.9416706	0.2723005	5.972227	0.0037208	0.1568199	0.0383727	0.97500	0.8365404	2.53375	0.5720354	2.42500	2.252817	48.84364
15	33	0.7629832	6.9027833	0.6916858	5.972227	0.0120069	1.0058732	0.1208272	2.54000	0.6394220	2.71000	0.7635335	3.28625	2.252993	48.84181
15	34	0.8438236	7.3916726	0.8438710	5.972227	0.0138968	0.7468799	-0.4014126	3.54000	0.6598724	3.34875	0.6041442	4.81000	2.253108	48.84345
15	35	0.8195450	7.9305619	0.7590966	5.972227	0.0125037	1.1737915	-0.0068675	3.22625	0.5713335	3.62750	0.8126175	3.68250	NA	37.77843
15	36	0.4853367	7.1750057	0.5461402	5.944449	0.0096385	1.4692570	-0.2158933	3.11750	0.8145594	4.46125	0.5265242	5.05000	NA	37.77834
15	37	0.7984787	5.4722266	0.6581168	5.972227	0.0113894	0.6278977	0.5869414	3.30125	0.5711441	2.62000	0.5826168	2.89875	NA	37.77824
15	38	1.0186470	7.0472279	0.9212152	5.972227	0.0146039	0.7144199	0.0112076	2.62375	0.7775361	3.52250	0.6064757	3.17125	NA	37.77677
16	1	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	2	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	3	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	4	0.7784708	7.6416728	0.8516172	5.972227	0.0105336	0.3161747	-0.2232197	1.98625	0.9479813	3.12625	0.3535472	2.42000	NA	48.44314
16	5	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	6	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	7	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	8	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	9	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	10	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	11	0.8994106	6.6444498	0.7114886	5.916671	0.0137232	0.8291391	-0.0473608	3.39250	0.6806688	2.97250	0.7796164	3.88750	NA	-28.06674
16	12	0.3538306	6.2694495	0.3006622	5.972227	0.0054188	0.4554412	0.3179215	2.31500	0.7397361	2.99500	0.6461013	1.72125	NA	-28.06684
16	13	0.7707168	8.0416731	0.6767776	5.972227	0.0125495	0.7783470	0.0971228	2.46750	0.6845153	4.24000	0.7509543	2.77625	NA	-28.06692
16	14	0.8409802	5.8194491	0.7075947	5.972227	0.0129587	0.7045349	0.0388872	2.23375	0.6820330	3.77875	0.7499324	5.75750	NA	-28.06678
16	15	0.2786096	4.3638924	0.3405567	5.972227	0.0044231	0.1430552	-0.1510616	0.88000	0.7286120	2.15750	0.6796911	2.04375	NA	33.89138
16	16	0.9043969	6.2166716	0.7781261	5.972227	0.0133731	1.1144405	-0.1597973	4.24250	0.5487720	3.14250	0.7803290	3.05250	NA	33.89125
16	17	1.0710210	6.9777834	0.8673028	5.972227	0.0162114	0.6671621	-0.0286152	2.96375	0.7203143	3.16125	0.6696227	2.49000	NA	33.89119
16	18	1.1542069	6.1833383	0.8917922	5.972227	0.0165398	0.4828424	-0.0853596	1.78750	0.8911479	3.31750	0.4678468	2.26375	NA	33.89120
16	19	1.3145971	7.1388946	1.0882653	5.972227	0.0200753	1.0088555	0.3518684	3.28875	0.8061241	3.65500	0.4662357	3.08250	NA	48.44319
16	20	0.9717359	6.1833383	0.8582689	5.972227	0.0170737	0.5914368	-0.0606543	5.42125	-0.9123931	3.31250	0.4562554	3.68250	NA	48.44326
16	21	0.1372092	4.3333368	0.2857867	5.944449	0.0042073	0.1817527	-0.0662815	0.66000	0.7571685	4.46250	0.6900393	3.19500	NA	48.44344
16	22	1.9428921	7.2138947	1.3175444	5.972227	0.0278602	0.8150707	-0.1416320	5.11875	0.6091637	3.75875	0.7493801	3.27125	NA	48.44309
16	23	1.0676130	7.1500057	0.9035944	5.972227	0.0163990	0.7333412	-0.2248847	2.09375	0.8870120	3.34875	0.4211207	2.16875	NA	48.44329
16	24	1.3145971	7.1388946	1.0882653	5.972227	0.0200753	1.0088555	0.3518684	3.28875	0.8061241	3.65500	0.4662357	3.08250	NA	48.44319
16	25	0.9717359	6.1833383	0.8582689	5.972227	0.0170737	0.5914368	-0.0606543	5.42125	-0.9123931	3.31250	0.4562554	3.68250	NA	48.44326
16	26	0.1372092	4.3333368	0.2857867	5.944449	0.0042073	0.1817527	-0.0662815	0.66000	0.7571685	4.46250	0.6900393	3.19500	NA	48.44344
16	27	1.9428921	7.2138947	1.3175444	5.972227	0.0278602	0.8150707	-0.1416320	5.11875	0.6091637	3.75875	0.7493801	3.27125	NA	48.44309
16	28	1.0676130	7.1500057	0.9035944	5.972227	0.0163990	0.7333412	-0.2248847	2.09375	0.8870120	3.34875	0.4211207	2.16875	NA	48.44329
16	29	1.0052458	6.7694499	0.8354933	5.972227	0.0158993	0.5775253	-0.1872562	2.69125	0.8237296	4.60500	0.5160688	1.89375	2.252981	48.84342
16	30	0.4364110	7.3694503	0.4873287	5.944449	0.0082633	0.9243608	-0.2282503	3.41500	0.6708100	3.85375	0.7039955	2.96500	2.253088	48.84357
16	31	0.8402851	7.4000059	0.7190946	5.972227	0.0141978	1.8814027	-0.0988433	3.95875	0.6750068	4.68500	0.7176745	3.11125	2.252877	48.84353
16	32	1.0726992	6.1861161	0.9132908	5.972227	0.0172027	0.6197147	-0.2491085	4.70875	0.8525535	3.97625	0.4514871	3.97125	2.252836	48.84346
16	33	0.4058759	4.7833372	0.4570657	5.944449	0.0057264	0.1452445	-0.2302242	1.11250	0.7333974	2.51375	0.6632129	1.89125	2.253117	48.84359
16	34	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	-Inf	NaN	NaN
16	35	1.5559953	6.5777830	1.1387313	5.972227	0.0229261	1.3509143	-0.0925608	6.79125	0.6697039	4.70750	0.6775574	3.41625	NA	37.77849
16	36	0.9433015	7.0083389	0.8711755	5.972227	0.0145691	0.5996859	-0.1473030	2.51875	0.8201102	3.55375	0.5495458	3.27000	NA	37.77842
16	37	0.8263417	7.4138948	0.6738465	5.972227	0.0131754	0.4463057	-0.2832569	1.92250	0.6550987	2.83750	0.6804955	2.62000	NA	37.77828
16	38	0.9069608	6.1583383	0.7921818	5.972227	0.0133971	0.4962002	-0.1951907	3.25625	0.6067869	3.40500	0.7295870	2.67375	NA	37.77830

nrow(out); 16*38

## [1] 608

## [1] 608