Extracting certain rows from matrix
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Hi! 
I have a matrix T = 99x3
and another matrix S = 69x2
Column 1 in S contains 69 indices corresponding to certain rows in T.
I want to extract these certain rows from T.
I added T and S below if it is of any use.
Any suggestions?
Regards,
Anders Holmberg
T =
339.61084	-143.16057	111
284.86859	-138.91678	485
365.56125	-133.51691	52
250.24678	-128.58994	192
460.49060	-119.28328	1311
220.38821	-124.99724	291
402.10043	-100.26612	86
269.15973	-103.59526	77
48.892490	-97.207848	117
417.07434	-79.978699	101
187.08081	-77.885788	86
113.27888	-79.339539	318
377.89386	-70.904503	287
434.61917	-65.957199	111
222.04018	-51.015945	148
278.33923	-41.312492	360
192.16632	-36.322784	352
449.40820	-0.32173157	50
527.75635	3.2519226	98
247.66592	-2.5671539	171
52.336288	2.5239105	88
290.40799	45.803284	109
331.84909	48.412552	298
64.139572	41.363663	211
484.65219	75.356705	793
352.65259	86.140961	827
141.00993	89.940933	73
212.11679	93.171478	123
528.42822	114.36893	109
275.09943	117.24445	125
303.85611	118.75024	142
162.40082	115.57883	251
208.99135	133.63699	52
107.47208	131.01990	87
486.82513	147.78052	92
45.022820	140.10770	68
65.882324	141.83881	91
157.41364	151.30615	54
417.48654	179.65854	73
495.57526	189.12314	264
173.01447	184.80292	118
84.395302	185.42267	181
268.19031	198.25891	2339
188.60532	233.13608	95
307.06219	243.55441	134
409.77271	254.38382	75
535.34045	264.84848	80
199.89328	274.04797	130
427.29990	288.70758	61
124.71526	284.75168	236
238.95445	295.38330	241
66.018387	291.60770	62
525.46008	313.04959	54
342.86234	309.74478	181
451.90369	317.65396	113
184.68277	316.07016	72
88.001572	317.21487	359
342.33246	339.11392	186
466.92957	347.18741	147
447.57278	364.23392	112
38.267288	381.10654	121
350.61151	390.74979	61
185.59767	390.81161	327
401.47476	403.05112	63
477.08344	413.75864	114
216.17847	407.42050	53
197.22433	412.32925	50
433.87973	423.39633	227
351.18402	424.04507	56
496.71964	438.75052	57
323.06100	438.24460	65
458.87531	448.51480	107
411.87234	463.29196	64
409.67090	477.43430	55
479.94415	480.68350	89
385.68634	481.56119	82
68.477859	474.24637	134
365.15555	499.76822	109
51.827705	500.91153	491
441.38110	513.05688	93
313.61859	511.73685	293
489.67206	527.12720	77
469.25537	529.11475	104
45.060806	521.88428	64
178.43051	527.25415	63
405.94196	534.21155	50
365.80103	544.26172	99
299.29233	542.77942	53
428.75925	546.93799	83
321.20898	546.91052	118
281.35608	545.95459	64
443.13580	561.16504	135
372.81503	565.47021	394
342.58881	565.71057	101
320.95401	568.68372	239
142.13785	572.66260	766
382.30069	620.19373	130
320.73810	621.83838	79
204.94414	623.31323	57
S = 
21	4.51076984405518
19	11.4743843078613
22	18.3587570190430
23	19.7070980072022
20	40.9994163513184
24	4.93227767944336
28	10.0483617782593
25	18.9996147155762
26	17.5263538360596
27	9.64306068420410
36	7.14353752136231
32	10.5398797988892
31	12.9565105438232
39	7.89259624481201
34	4.17205953598023
35	9.58878993988037
38	5.42349624633789
40	16.8424663543701
41	13.2013435363770
43	8.66385841369629
42	4.14684104919434
45	2.61139965057373
44	4.90659332275391
52	41.0211830139160
46	8.37653446197510
47	9.79308414459229
48	0.889725387096405
51	11.3225593566895
54	14.2948379516602
55	16.9351272583008
53	6.65440511703491
57	1.60811495780945
60	6.60633993148804
59	9.26866054534912
66	4.73961162567139
61	16.9218845367432
62	5.54498147964478
63	15.1520271301270
71	1.54938817024231
64	1.25193774700165
67	4.36905956268311
68	4.84249830245972
69	3.70246767997742
77	60.2132148742676
72	0.768628180027008
79	8.64342212677002
73	3.06259489059448
74	3.60962963104248
76	1.92712450027466
75	9.99215793609619
78	5.07191514968872
81	7.84966564178467
80	4.91810417175293
85	4.66130638122559
83	10.4304790496826
86	3.68249464035034
88	1.01345729827881
87	1.68117392063141
91	1.43024551868439
90	0.118958853185177
89	3.94388508796692
92	3.46568751335144
93	0.671901702880859
94	0.458056718111038
95	1.00567424297333
96	8.87801361083984
97	1.72155869007111
98	7.82691860198975
99	43.8082580566406
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