MATLAB: How to convert this into a 2d matrix of 50×50 in Matlab

Question

   (1,1)       0.4202
   (2,1)       0.7436
   (3,1)       1.7309
   (4,1)       1.2414
   (5,1)       1.4897
   (6,1)       1.6088
   (7,1)       3.1441
   (8,1)       3.4509
   (9,1)       4.1381
  (10,1)       3.3498
  (11,1)       4.3164
  (12,1)       3.3340
   (1,2)       1.8620
   (2,2)       2.2873
   (3,2)       1.6744
   (4,2)       0.4920
   (5,2)       1.4422
   (6,2)       1.8425
   (7,2)       3.6814
   (8,2)       5.7407
   (9,2)       5.4347
  (10,2)       5.2280
  (11,2)       4.6420
  (12,2)       4.5698
  (13,2)       3.8921
  (14,2)       2.1604
  (15,2)       1.5993
   (1,3)       2.6415
   (2,3)       2.2709
   (3,3)       2.7251
   (4,3)       3.3770
   (5,3)       3.0060
   (6,3)       2.5969
   (7,3)       4.6984
   (8,3)       6.0326
   (9,3)       5.6671
  (10,3)       5.2275
  (11,3)       5.7066
  (12,3)       4.9867
  (13,3)       4.8727
  (14,3)       3.9140
  (15,3)       3.5201
  (16,3)       2.0049
  (17,3)       1.1442
   (1,4)       2.0544
   (2,4)       2.5211
   (3,4)       4.1816
   (4,4)       4.7489
   (5,4)       5.9058
   (6,4)       4.6013
   (7,4)       5.1882
   (8,4)       6.7727
   (9,4)       7.1471
  (10,4)       7.7398
  (11,4)       8.2685
  (12,4)       6.4927
  (13,4)       5.9138
  (14,4)       4.8126
  (15,4)       4.3724
  (16,4)       2.0019
  (17,4)       1.3203
  (18,4)       1.3599
   (1,5)       3.1787
   (2,5)       3.2879
   (3,5)       3.5375
   (4,5)       5.9427
   (5,5)       8.0822
   (6,5)       7.0689
   (7,5)       5.7137
   (8,5)       7.2579
   (9,5)       7.6235
  (10,5)       7.6743
  (11,5)       9.6143
  (12,5)       7.5071
  (13,5)       6.5945
  (14,5)       5.0749
  (15,5)       3.9087
  (16,5)       2.4323
  (17,5)       1.4495
  (18,5)       1.8497
  (19,5)       0.5824
   (1,6)       3.1987
   (2,6)       4.6763
   (3,6)       5.2410
   (4,6)       6.6598
   (5,6)       8.1118
   (6,6)       7.5800
   (7,6)       6.8130
   (8,6)       7.4356
   (9,6)       7.4284
  (10,6)       7.4217
  (11,6)       9.7472
  (12,6)       8.6232
  (13,6)       6.9938
  (14,6)       5.5148
  (15,6)       4.7773
  (16,6)       3.0847
  (17,6)       2.1310
  (18,6)       2.1329
  (19,6)       2.2797
  (20,6)       1.6630
   (1,7)       4.4015
   (2,7)       4.3635
   (3,7)       5.7831
   (4,7)       7.7145
   (5,7)       7.2658
   (6,7)       6.9811
   (7,7)       6.9357
   (8,7)       7.7036
   (9,7)       8.2682
  (10,7)       9.1576
  (11,7)      10.3030
  (12,7)       8.6424
  (13,7)       7.6560
  (14,7)       6.7439
  (15,7)       5.7805
  (16,7)       3.9474
  (17,7)       2.2343
  (18,7)       2.1285
  (19,7)       2.0059
  (20,7)       1.7024
   (1,8)       4.6970
   (2,8)       4.1734
   (3,8)       5.2578
   (4,8)       5.9685
   (5,8)       6.2861
   (6,8)       6.4712
   (7,8)       6.6437
   (8,8)       7.3427
   (9,8)       9.7350
  (10,8)      10.3477
  (11,8)       9.9927
  (12,8)       8.8061
  (13,8)       7.9539
  (14,8)       6.8682
  (15,8)       5.9688
  (16,8)       4.1078
  (17,8)       3.0185
  (18,8)       3.0361
  (19,8)       2.0127
  (20,8)       1.9049
  (21,8)       1.6000
   (1,9)       3.7279
   (2,9)       4.5797
   (3,9)       5.0616
   (4,9)       5.7144
   (5,9)       6.2728
   (6,9)       7.3080
   (7,9)       8.3617
   (8,9)       7.8622
   (9,9)       9.6703
  (10,9)       9.3207
  (11,9)       9.7355
  (12,9)       9.8038
  (13,9)       8.0067
  (14,9)       7.1382
  (15,9)       6.2931
  (16,9)       3.8839
  (17,9)       3.7892
  (18,9)       3.2659
  (19,9)       2.0040
  (20,9)       1.3343
  (21,9)       2.1497
   (1,10)      4.7494
   (2,10)      4.5795
   (3,10)      5.0544
   (4,10)      6.3996
   (5,10)      7.6207
   (6,10)      8.2105
   (7,10)      9.1596
   (8,10)      8.8253
   (9,10)      9.8893
  (10,10)      9.7927
  (11,10)      9.4061
  (12,10)      9.1098
  (13,10)      8.3242
  (14,10)      6.7905
  (15,10)      5.5648
  (16,10)      4.7176
  (17,10)      4.4667
  (18,10)      3.8119
  (19,10)      2.2864
  (20,10)      1.6342
  (21,10)      2.9229
   (1,11)      5.3591
   (2,11)      5.8160
   (3,11)      5.7354
   (4,11)      6.7509
   (5,11)      8.1711
   (6,11)      9.2917
   (7,11)     10.6259
   (8,11)     11.1982
   (9,11)     11.1274
  (10,11)     10.8622
  (11,11)     11.2107
  (12,11)     10.1185
  (13,11)      8.9153
  (14,11)      7.2891
  (15,11)      6.2147
  (16,11)      5.1402
  (17,11)      5.2723
  (18,11)      5.1388
  (19,11)      3.3813
  (20,11)      2.8768
  (21,11)      4.0770
  (22,11)      4.1643
   (1,12)      5.9121
   (2,12)      6.4385
   (3,12)      6.0893
   (4,12)      7.7201
   (5,12)      9.7367
   (6,12)     10.8800
   (7,12)     12.1165
   (8,12)     13.0542
   (9,12)     12.8097
  (10,12)     12.1371
  (11,12)     12.2551
  (12,12)     10.7736
  (13,12)      8.9056
  (14,12)      7.9391
  (15,12)      6.5584
  (16,12)      5.2469
  (17,12)      5.1327
  (18,12)      4.1530
  (19,12)      3.3970
  (20,12)      4.3444
  (21,12)      4.8801
  (22,12)      4.3879
   (1,13)      6.0417
   (2,13)      5.8006
   (3,13)      7.8302
   (4,13)     10.3152
   (5,13)     11.3032
   (6,13)     12.4351
   (7,13)     14.2537
   (8,13)     15.1248
   (9,13)     15.1016
  (10,13)     14.3498
  (11,13)     13.3902
  (12,13)     11.3975
  (13,13)      9.8523
  (14,13)      8.3738
  (15,13)      7.1726
  (16,13)      6.1116
  (17,13)      5.1625
  (18,13)      4.1386
  (19,13)      4.1523
  (20,13)      3.9218
  (21,13)      4.4169
  (22,13)      3.3785
   (1,14)      5.6596
   (2,14)      7.0580
   (3,14)      9.6134
   (4,14)     11.1078
   (5,14)     10.5983
   (6,14)     13.0499
   (7,14)     14.8601
   (8,14)     16.2140
   (9,14)     16.5757
  (10,14)     15.1365
  (11,14)     13.8071
  (12,14)     12.3562
  (13,14)     11.4255
  (14,14)     10.2601
  (15,14)      7.9871
  (16,14)      6.4657
  (17,14)      5.0420
  (18,14)      3.3513
  (19,14)      3.7979
  (20,14)      3.0976
  (21,14)      3.2044
  (22,14)      2.9040
   (1,15)      6.8855
   (2,15)      7.7767
   (3,15)      7.8288
   (4,15)      9.6157
   (5,15)     12.2664
   (6,15)     15.7095
   (7,15)     16.4629
   (8,15)     17.1333
   (9,15)     17.2975
  (10,15)     15.9605
  (11,15)     13.8820
  (12,15)     12.7841
  (13,15)     12.4059
  (14,15)     10.6287
  (15,15)      8.0601
  (16,15)      5.5818
  (17,15)      4.8278
  (18,15)      3.5542
  (19,15)      3.9227
  (20,15)      3.5349
  (21,15)      2.6261
  (22,15)      3.5905
   (1,16)     10.9376
   (2,16)      8.3849
   (3,16)      9.8612
   (4,16)     12.2893
   (5,16)     14.5439
   (6,16)     16.7365
   (7,16)     18.1846
   (8,16)     19.1413
   (9,16)     19.6916
  (10,16)     18.8489
  (11,16)     16.7673
  (12,16)     14.5521
  (13,16)     13.3714
  (14,16)     11.0369
  (15,16)      8.4007
  (16,16)      6.1993
  (17,16)      5.1378
  (18,16)      4.3663
  (19,16)      2.9521
  (20,16)      4.2068
  (21,16)      3.2083
  (22,16)      2.7436
  (23,16)      2.2416
   (1,17)      9.2531
   (2,17)      9.0354
   (3,17)     10.9880
   (4,17)     12.8685
   (5,17)     14.9410
   (6,17)     16.7457
   (7,17)     19.5340
   (8,17)     20.9997
   (9,17)     20.8071
  (10,17)     20.3973
  (11,17)     19.4939
  (12,17)     17.0814
  (13,17)     13.3794
  (14,17)     11.9277
  (15,17)      9.6353
  (16,17)      6.4187
  (17,17)      5.1035
  (18,17)      4.4186
  (19,17)      3.3161
  (20,17)      4.3911
  (21,17)      3.0913
  (22,17)      2.5161
  (23,17)      3.7165
   (1,18)      9.4117
   (2,18)      9.1686
   (3,18)     10.7143
   (4,18)     13.5995
   (5,18)     16.0781
   (6,18)     17.4484
   (7,18)     19.8363
   (8,18)     21.2916
   (9,18)     21.3539
  (10,18)     20.8427
  (11,18)     20.3248
  (12,18)     16.6610
  (13,18)     14.2692
  (14,18)     12.8505
  (15,18)      9.3046
  (16,18)      7.4412
  (17,18)      5.7944
  (18,18)      4.4734
  (19,18)      4.2753
  (20,18)      3.9457
  (21,18)      3.0353
  (22,18)      3.2045
  (23,18)      3.4280
   (1,19)      7.8982
   (2,19)      8.7271
   (3,19)      9.4924
   (4,19)     12.0337
   (5,19)     15.2512
   (6,19)     16.1631
   (7,19)     17.4826
   (8,19)     20.4904
   (9,19)     20.8509
  (10,19)     19.1487
  (11,19)     18.8619
  (12,19)     16.8586
  (13,19)     14.8098
  (14,19)     12.5813
  (15,19)      9.1794
  (16,19)      7.1567
  (17,19)      5.2043
  (18,19)      4.9213
  (19,19)      4.8783
  (20,19)      4.9186
  (21,19)      3.1271
  (22,19)      3.1874
  (23,19)      2.8131
   (1,20)      8.9670
   (2,20)      9.5909
   (3,20)     10.0273
   (4,20)     10.3003
   (5,20)     12.1647
   (6,20)     13.8264
   (7,20)     17.7440
   (8,20)     18.5717
   (9,20)     18.0930
  (10,20)     18.0775
  (11,20)     17.9509
  (12,20)     15.9163
  (13,20)     14.2225
  (14,20)     11.6205
  (15,20)      9.2698
  (16,20)      6.0012
  (17,20)      4.2778
  (18,20)      4.3282
  (19,20)      4.6347
  (20,20)      4.4741
  (21,20)      3.0327
  (22,20)      2.7962
  (23,20)      1.3637
   (1,21)      8.6349
   (2,21)     10.1144
   (3,21)      9.9551
   (4,21)     10.4981
   (5,21)     11.2886
   (6,21)     12.5134
   (7,21)     15.3798
   (8,21)     16.0664
   (9,21)     16.7938
  (10,21)     16.6951
  (11,21)     14.3147
  (12,21)     13.6172
  (13,21)     12.6967
  (14,21)     10.2413
  (15,21)      8.6564
  (16,21)      4.9046

            

            
            
            

    

        

	
    

        
Best Answer
    

    

								

								
"... I copied the values from Matlab's command window directly …"
That means it is a sparse matrix based on the format of the output. If you want a full matrix format, simply do this:
x = your current sparse matrix
x = full(x);  % convert to full matrix

						    
						
		
    
        

    

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Answer 1

"... I copied the values from Matlab's command window directly …"

That means it is a sparse matrix based on the format of the output. If you want a full matrix format, simply do this:

x = your current sparse matrix
x = full(x);  % convert to full matrix