Hi Elisa, If the total number of elements in each of the list elements/372 are integer values, then set.seed(24) l1<-lapply(c(4,5,8,10),function(i) as.data.frame(matrix(sample(1:50,40,replace=TRUE),ncol=i))) lapply(l1,function(x) matrix(as.vector(as.matrix(x)),nrow=5))
#in your case: lapply(mls,function(x) matrix(as.vector(as.matrix(x)),nrow=372)) A.K. ________________________________ From: eliza botto <eliza_bo...@hotmail.com> To: "smartpink...@yahoo.com" <smartpink...@yahoo.com> Sent: Thursday, January 3, 2013 8:31 PM Subject: RE: [R] splitting matrices Actually, you will see that 465 elements are there in 12 columns. which means total number of elements are 465*12=5580. now if you accommodate these number of elements in 372 rows, R should automatically make 5580/372=15 columns. i hope i am clear. thanks once again elisa > Date: Thu, 3 Jan 2013 17:22:42 -0800 > From: smartpink...@yahoo.com > Subject: Re: [R] splitting matrices > To: eliza_bo...@hotmail.com > > HI Elisa, > > So, you selected the nrows based on the list element with the least number of > rows. But, you also have list elements with 465 rows, i.e. not a multiple of > 372 row. IN that case, wouldn't it end up with less number of rows than 372. > Same applies for the last matrix in all the list elements. > Arun > > > > > > > > ________________________________ > From: eliza botto <eliza_bo...@hotmail.com> > To: "smartpink...@yahoo.com" <smartpink...@yahoo.com> > Sent: Thursday, January 3, 2013 8:17 PM > Subject: RE: [R] splitting matrices > > > > Dear Arun, > thanks for replying. i actually want to convert each data frame to a matrix. > so in total i want to have 16 matrices. i want to split them is such a way > that each matrix should have 372 rows and the number of column which could > accommodate the data. > like in first data frame there are 1085 elements in each 12 columns. so, > there are 13020 elements. i want to convert it into the matrix on the basis > of 372 rows, automatically columns will be 35. > similarly, all the data frames should be converted to matrices on the basis > of 372 rows. > > i am doing it to manage some hostipal data. > thanks in advance.. > elisa > > > > Date: Thu, 3 Jan 2013 17:06:35 -0800 > > From: smartpink...@yahoo.com > > Subject: Re: [R] splitting matrices > > To: eliza_bo...@hotmail.com > > > > Hi Elisa, > > > > > > The list elements are of different dimensions. Also, some of them have odd > > number of rows. Do you wanted to split each list elements into 36 matrices > > or with 31 rows each? Also, just for curiosity, is this for some specific > > purpose?. > > > > Arun > > > > > > > > > > > > ________________________________ > > From: eliza botto <eliza_bo...@hotmail.com> > > To: "smartpink...@yahoo.com" <smartpink...@yahoo.com> > > Sent: Thursday, January 3, 2013 6:45 PM > > Subject: RE: [R] splitting matrices > > > > > > > > >res1<-lapply(split(as.data.frame(mat1),rep(1:36,each=31)),as.matrix) > > dear arun, > > thanks for your reply. now i was wondering that if want to apply the same > > command on list of 16 data frame. what change in the code do i have to make > > in the codes as in the present case each data frame has different > > dimensions?? thanks in advance... > > the structure of my data is > > > str(mls) > > List of 16 > > $ :'data.frame': 1085 obs. of 12 variables: > > ..$ Col1 : num [1:1085] 430 427 430 422 413 416 399 396 408 408 ... > > ..$ Col2 : num [1:1085] 413 410 410 410 410 408 405 405 396 382 ... > > ..$ Col3 : num [1:1085] 444 430 441 473 481 521 526 518 541 538 ... > > ..$ Col4 : num [1:1085] 676 659 659 657 659 693 750 832 897 993 ... > > ..$ Col5 : num [1:1085] 758 741 747 758 843 ... > > ..$ Col6 : num [1:1085] 3962 4387 4500 4387 3877 ... > > ..$ Col7 : num [1:1085] 5094 5207 5603 6169 6509 ... > > ..$ Col8 : num [1:1085] 5009 5377 6311 7386 8292 ... > > ..$ Col9 : num [1:1085] 4443 4443 4415 4160 4103 ... > > ..$ Col10: num [1:1085] 1556 1551 1525 1460 1409 ... > > ..$ Col11: num [1:1085] 852 821 812 798 784 784 781 773 770 764 ... > > ..$ Col12: num [1:1085] 569 572 569 563 558 552 549 543 538 532 ... > > $ :'data.frame': 1147 obs. of 12 variables: > > ..$ Col1 : num [1:1147] 45 41.9 40.5 38.8 37.7 37.1 36.8 36.5 36.2 35.7 > > ... > > ..$ Col2 : num [1:1147] 53.8 51 47 52.7 47 47 43.6 42.2 40.2 37.9 ... > > ..$ Col3 : num [1:1147] 36.2 36.2 36.2 36.2 36.2 35.7 34.3 34.3 34.3 36.2 > > ... > > ..$ Col4 : num [1:1147] 73.9 90 133 282 197 127 98.8 91.7 84.4 163 ... > > ..$ Col5 : num [1:1147] 199 199 225 233 243 252 262 277 297 297 ... > > ..$ Col6 : num [1:1147] 399 405 459 496 490 530 544 555 538 552 ... > > ..$ Col7 : num [1:1147] 496 422 391 416 411 456 453 442 430 428 ... > > ..$ Col8 : num [1:1147] 374 394 331 331 297 265 238 240 248 294 ... > > ..$ Col9 : num [1:1147] 242 309 260 247 238 225 207 320 360 274 ... > > ..$ Col10: num [1:1147] 129 119 113 108 97.7 97.7 91.7 88.1 85.2 84.4 ... > > ..$ Col11: num [1:1147] 53.2 50.4 47.6 48.1 47 44.7 43.6 43 41.9 41.1 ... > > ..$ Col12: num [1:1147] 46.4 46.2 46.2 45 45.6 43.6 43.6 43.6 43.6 42.8 > > ... > > $ :'data.frame': 1085 obs. of 12 variables: > > ..$ Col1 : num [1:1085] 68.2 68.8 69.4 69.9 69.9 70.2 68.2 66.8 65.4 64 > > ... > > ..$ Col2 : num [1:1085] 57.8 57.8 57.8 57.8 57.8 57.8 57.8 57.8 57.8 57.8 > > ... > > ..$ Col3 : num [1:1085] 54.4 54.4 54.9 55.5 55.8 56.6 57.2 57.8 58 59 ... > > ..$ Col4 : num [1:1085] 69.9 70.8 72.5 73.3 75 77 77.6 79 79.6 81 ... > > ..$ Col5 : num [1:1085] 99.7 102 103 105 106 108 110 112 114 115 ... > > ..$ Col6 : num [1:1085] 92.3 102 111 118 124 133 140 150 145 144 ... > > ..$ Col7 : num [1:1085] 462 470 479 487 493 496 487 501 507 515 ... > > ..$ Col8 : num [1:1085] 345 348 360 368 382 394 391 413 442 481 ... > > ..$ Col9 : num [1:1085] 504 473 445 422 411 391 377 362 351 351 ... > > ..$ Col10: num [1:1085] 161 159 156 155 151 149 148 143 142 140 ... > > ..$ Col11: num [1:1085] 102 100 99.7 98.5 98.5 98.5 98 98.5 97.1 96 ... > > ..$ Col12: num [1:1085] 85.2 84.7 84.1 83.5 83.5 82.7 82.4 82.1 81.8 81.6 > > ... > > $ :'data.frame': 558 obs. of 12 variables: > > ..$ Col1 : num [1:558] 1000 965 951 958 947 ... > > ..$ Col2 : num [1:558] 915 915 880 837 873 ... > > ..$ Col3 : num [1:558] 855 852 852 852 845 ... > > ..$ Col4 : num [1:558] 1099 1120 1382 1201 1230 ... > > ..$ Col5 : num [1:558] 3491 3781 3746 3081 3389 ... > > ..$ Col6 : num [1:558] 11484 10707 11413 10989 11590 ... > > ..$ Col7 : num [1:558] 11413 12686 11484 8551 7244 ... > > ..$ Col8 : num [1:558] 9576 10813 10283 10389 9929 ... > > ..$ Col9 : num [1:558] 4382 3710 3491 3261 3219 ... > > ..$ Col10: num [1:558] 1721 1611 1569 1509 1530 ... > > ..$ Col11: num [1:558] 1191 1170 1170 1141 1148 ... > > ..$ Col12: num [1:558] 912 922 905 898 880 ... > > $ :'data.frame': 1147 obs. of 12 variables: > > ..$ Col1 : num [1:1147] 79 79 79 81.2 79.8 79.8 78.4 77.3 77.3 73.6 ... > > ..$ Col2 : num [1:1147] 69.1 71.9 72.4 69.9 69.1 71.3 69.1 67.4 67.4 67.6 > > ... > > ..$ Col3 : num [1:1147] 64 62.3 63.1 62.3 60.6 59.7 60.6 62.3 60 60.3 ... > > ..$ Col4 : num [1:1147] 57.2 56.6 56.3 54.6 56.6 58.3 56.3 56.3 56.3 55.8 > > ... > > ..$ Col5 : num [1:1147] 75 78.4 98.2 122 104 87.2 81.8 74.7 73.9 78.4 ... > > ..$ Col6 : num [1:1147] 368 396 524 563 628 ... > > ..$ Col7 : num [1:1147] 1500 1656 1616 1695 1777 ... > > ..$ Col8 : num [1:1147] 843 852 767 753 730 ... > > ..$ Col9 : num [1:1147] 730 713 634 552 484 439 416 388 362 354 ... > > ..$ Col10: num [1:1147] 205 199 199 200 200 200 200 186 179 183 ... > > ..$ Col11: num [1:1147] 105 100 93.1 98.2 105 93.7 99.9 99.3 96.8 102 ... > > ..$ Col12: num [1:1147] 73.3 74.7 69.6 71.9 73 70.5 68.2 68.2 68.5 68.8 > > ... > > $ :'data.frame': 1023 obs. of 12 variables: > > ..$ Col1 : num [1:1023] 233 230 228 225 224 227 224 227 222 223 ... > > ..$ Col2 : num [1:1023] 200 199 200 200 194 194 189 192 194 193 ... > > ..$ Col3 : num [1:1023] 193 193 183 187 188 186 190 198 195 192 ... > > ..$ Col4 : num [1:1023] 198 201 202 197 197 203 212 220 225 228 ... > > ..$ Col5 : num [1:1023] 306 306 331 342 331 331 345 328 323 311 ... > > ..$ Col6 : num [1:1023] 1449 1593 1692 1735 1551 ... > > ..$ Col7 : num [1:1023] 3000 3085 2972 2790 2451 ... > > ..$ Col8 : num [1:1023] 2301 2338 2465 2626 2745 ... > > ..$ Col9 : num [1:1023] 2643 2666 2663 2725 2765 ... > > ..$ Col10: num [1:1023] 600 600 617 625 631 640 628 611 580 558 ... > > ..$ Col11: num [1:1023] 379 368 359 357 354 351 351 348 342 337 ... > > ..$ Col12: num [1:1023] 262 262 260 257 253 251 251 250 249 249 ... > > $ :'data.frame': 1147 obs. of 12 variables: > > ..$ Col1 : num [1:1147] 15.3 15.3 15.3 15.3 14.2 14.2 14.2 14.2 14.2 15.3 > > ... > > ..$ Col2 : num [1:1147] 13 13 12 12 12 11.2 11.2 11.2 11.2 10.5 ... > > ..$ Col3 : num [1:1147] 11.2 11.2 11.2 11.2 11.2 11.2 12 12 12 12 ... > > ..$ Col4 : num [1:1147] 16.6 17 17.3 18 18 18 19.4 19.4 19.4 19.4 ... > > ..$ Col5 : num [1:1147] 72.5 81.8 84.9 95.7 101 113 108 112 122 133 ... > > ..$ Col6 : num [1:1147] 201 225 253 273 286 283 286 273 281 273 ... > > ..$ Col7 : num [1:1147] 276 273 261 265 261 283 283 286 281 253 ... > > ..$ Col8 : num [1:1147] 239 234 226 213 202 178 180 178 194 206 ... > > ..$ Col9 : num [1:1147] 165 160 159 153 149 145 145 164 168 137 ... > > ..$ Col10: num [1:1147] 95.1 92.3 86.1 73.1 72.5 69.4 68 62.3 60 54.6 ... > > ..$ Col11: num [1:1147] 30 30 28.3 27.5 27.7 26.9 28.1 27.3 27.5 26.7 ... > > ..$ Col12: num [1:1147] 21.3 21.3 21.3 21.3 21.3 20.5 20.5 20.5 20.5 20.5 > > ... > > $ :'data.frame': 713 obs. of 12 variables: > > ..$ Col1 : num [1:713] 6.43 5.83 4.81 4.67 4.67 4.81 4.87 4.87 4.62 4.36 > > ... > > ..$ Col2 : num [1:713] 4.02 3.85 3.91 3.96 5.01 4.42 4.93 5.07 5.21 5.58 > > ... > > ..$ Col3 : num [1:713] 16.5 13.9 33.1 52.7 48.7 25.2 21.6 18 16.3 15.7 ... > > ..$ Col4 : num [1:713] 45.3 56.3 52.1 51.3 51.3 58.3 52.4 44.5 39.1 35.4 > > ... > > ..$ Col5 : num [1:713] 38.2 36.2 37.1 39.1 41.6 32.6 30.9 28.9 27.7 30.3 > > ... > > ..$ Col6 : num [1:713] 24.6 23.6 25.9 30.3 23.4 23.2 23.6 20.2 22.2 19.2 > > ... > > ..$ Col7 : num [1:713] 14.9 15.7 14.2 31.4 25.2 37.1 15.5 18 15.2 14.2 ... > > ..$ Col8 : num [1:713] 17.4 16.6 18.3 63.7 60.9 36.8 30.3 23.2 20.2 17.8 > > ... > > ..$ Col9 : num [1:713] 19.5 18.9 19.2 17.2 25.2 33.7 27.5 23.4 20.4 26.1 > > ... > > ..$ Col10: num [1:713] 13.5 10.4 10.2 10.3 9.71 9.26 8.92 9.03 9.37 9.6 > > ... > > ..$ Col11: num [1:713] 6.26 6.17 6.09 6 5.83 6.09 20.2 7.76 6.43 6.26 ... > > ..$ Col12: num [1:713] 5.15 4.93 4.93 4.87 5.66 5.66 5.21 4.93 4.87 4.62 > > ... > > $ :'data.frame': 372 obs. of 12 variables: > > ..$ Col1 : num [1:372] 942 928 925 928 942 ... > > ..$ Col2 : num [1:372] 917 914 923 940 931 ... > > ..$ Col3 : num [1:372] 1633 1636 1373 1322 1387 ... > > ..$ Col4 : num [1:372] 1429 1180 1268 1180 1129 ... > > ..$ Col5 : num [1:372] 1466 2239 2236 2173 2258 ... > > ..$ Col6 : num [1:372] 4358 4245 4188 4302 4613 ... > > ..$ Col7 : num [1:372] 5292 5037 5094 4670 4132 ... > > ..$ Col8 : num [1:372] 2776 2323 2561 2479 2496 ... > > ..$ Col9 : num [1:372] 2434 3453 2264 2570 2476 ... > > ..$ Col10: num [1:372] 3594 3085 3056 2858 3453 ... > > ..$ Col11: num [1:372] 1367 1305 1344 1500 1438 ... > > ..$ Col12: num [1:372] 1769 1613 1633 1500 1523 ... > > $ :'data.frame': 1116 obs. of 12 variables: > > ..$ Col1 : num [1:1116] 326 340 294 294 317 ... > > ..$ Col2 : num [1:1116] 690 362 436 453 376 ... > > ..$ Col3 : num [1:1116] 196 172 191 136 164 ... > > ..$ Col4 : num [1:1116] 379 419 620 948 1254 ... > > ..$ Col5 : num [1:1116] 1180 1180 1211 1364 1562 ... > > ..$ Col6 : num [1:1116] 1429 1384 2224 2513 2751 ... > > ..$ Col7 : num [1:1116] 2383 2408 2360 2272 2332 ... > > ..$ Col8 : num [1:1116] 1984 1998 1902 1789 1574 ... > > ..$ Col9 : num [1:1116] 1095 1115 1214 1143 1194 ... > > ..$ Col10: num [1:1116] 580 552 495 501 467 ... > > ..$ Col11: num [1:1116] 300 300 297 294 294 ... > > ..$ Col12: num [1:1116] 323 300 289 314 320 ... > > $ :'data.frame': 1085 obs. of 12 variables: > > ..$ Col1 : num [1:1085] 396 396 396 396 396 ... > > ..$ Col2 : num [1:1085] 379 371 371 371 371 ... > > ..$ Col3 : num [1:1085] 354 354 345 345 354 ... > > ..$ Col4 : num [1:1085] 354 354 362 362 362 ... > > ..$ Col5 : num [1:1085] 492 447 561 527 527 ... > > ..$ Col6 : num [1:1085] 1155 1334 1002 849 832 ... > > ..$ Col7 : num [1:1085] 3283 2888 2648 2662 2803 ... > > ..$ Col8 : num [1:1085] 5603 5663 5607 5578 5635 ... > > ..$ Col9 : num [1:1085] 3594 3313 2973 2662 2662 ... > > ..$ Col10: num [1:1085] 1053 1019 1002 951 917 ... > > ..$ Col11: num [1:1085] 515 501 493 481 479 470 462 459 447 447 ... > > ..$ Col12: num [1:1085] 405 402 396 396 388 379 379 377 371 365 ... > > $ :'data.frame': 620 obs. of 12 variables: > > ..$ Col1 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col2 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col3 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col4 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col5 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col6 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col7 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col8 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col9 : num [1:620] 6311 6452 6396 6169 5717 ... > > ..$ Col10: num [1:620] 1695 1610 1568 1506 1407 ... > > ..$ Col11: num [1:620] 645 640 634 628 617 ... > > ..$ Col12: num [1:620] 470 464 461 456 453 ... > > $ :'data.frame': 620 obs. of 12 variables: > > ..$ Col1 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col2 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col3 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col4 : num [1:620] NA NA NA NA NA NA NA NA NA NA ... > > ..$ Col5 : num [1:620] 168 190 218 246 320 ... > > ..$ Col6 : num [1:620] 458 391 362 331 450 ... > > ..$ Col7 : num [1:620] 1036 1092 1098 968 1044 ... > > ..$ Col8 : num [1:620] 1327 1344 1271 1276 1322 ... > > ..$ Col9 : num [1:620] 492 439 416 461 515 555 543 566 543 577 ... > > ..$ Col10: num [1:620] 171 171 160 153 153 153 153 153 153 153 ... > > ..$ Col11: num [1:620] 139 135 135 135 135 135 132 132 130 130 ... > > ..$ Col12: num [1:620] 99.6 99.6 99.6 99.6 99.6 99.6 99.6 99.6 99.6 99.3 > > ... > > $ :'data.frame': 465 obs. of 12 variables: > > ..$ Col1 : num [1:465] 29.4 29.4 28.9 29.7 30.6 ... > > ..$ Col2 : num [1:465] 29.1 29.4 28.9 28 28 27.5 27.5 27.5 27.5 27.5 ... > > ..$ Col3 : num [1:465] 30.6 31.1 30.3 30.3 31.1 30.3 30.6 30.6 29.7 31.1 > > ... > > ..$ Col4 : num [1:465] 27.1 26.6 24.8 22.1 26.6 26.6 26.6 26.6 26.6 26.6 > > ... > > ..$ Col5 : num [1:465] 45.3 46.4 46.4 47.5 50.4 51.5 53.2 53.2 54.3 55.5 > > ... > > ..$ Col6 : num [1:465] 137 145 150 161 168 172 180 183 187 220 ... > > ..$ Col7 : num [1:465] 226 212 195 187 173 ... > > ..$ Col8 : num [1:465] 337 504 583 405 376 ... > > ..$ Col9 : num [1:465] 388 359 359 357 334 ... > > ..$ Col10: num [1:465] 129 126 122 111 109 103 100 97.1 93.7 91.1 ... > > ..$ Col11: num [1:465] 43.6 38.5 40.2 47.5 44.1 41.9 39.1 38.5 36.8 36.2 > > ... > > ..$ Col12: num [1:465] 28.3 27.1 26.1 26.6 26.6 25.7 25.2 26.6 26.6 26.1 > > ... > > $ :'data.frame': 899 obs. of 12 variables: > > ..$ Col1 : num [1:899] 47.5 48.7 49.8 49.2 48.4 49.2 49.8 51.5 48.7 49.8 > > ... > > ..$ Col2 : num [1:899] 43.9 44.7 50.4 50.4 43.9 43 42.4 44.7 44.1 45 ... > > ..$ Col3 : num [1:899] 38.2 38.2 38.8 37.4 37.1 38.2 38.2 37.4 37.1 37.9 > > ... > > ..$ Col4 : num [1:899] 38.2 37.9 38.2 39.1 38.8 38.5 38.8 39.1 39.1 39.1 > > ... > > ..$ Col5 : num [1:899] 64 79.8 90.6 99 99.3 106 96.5 93.4 82.9 77 ... > > ..$ Col6 : num [1:899] 118 130 169 212 248 294 334 393 439 473 ... > > ..$ Col7 : num [1:899] 1223 1347 1469 1548 1593 ... > > ..$ Col8 : num [1:899] 1237 1279 1463 1582 1808 ... > > ..$ Col9 : num [1:899] 1423 1401 1211 1022 792 ... > > ..$ Col10: num [1:899] 291 258 226 196 178 194 192 174 168 162 ... > > ..$ Col11: num [1:899] 119 118 114 112 108 107 106 105 104 99.9 ... > > ..$ Col12: num [1:899] 82.4 82.1 81.8 81.5 81.2 80.9 80.7 80.4 80.1 79.2 > > ... > > $ :'data.frame': 1147 obs. of 12 variables: > > ..$ Col1 : num [1:1147] 128 128 128 128 122 ... > > ..$ Col2 : num [1:1147] 105.3 105.3 105.3 99.9 99.9 ... > > ..$ Col3 : num [1:1147] 94.5 94.5 94.5 94.5 94.5 ... > > ..$ Col4 : num [1:1147] 89.4 89.4 89.4 89.4 89.4 ... > > ..$ Col5 : num [1:1147] 134 140 152 158 177 ... > > ..$ Col6 : num [1:1147] 340 439 450 470 640 ... > > ..$ Col7 : num [1:1147] 3538 4217 2258 1919 1845 ... > > ..$ Col8 : num [1:1147] 3198 3226 3226 3254 3283 ... > > ..$ Col9 : num [1:1147] 1910 2012 1885 1910 1882 ... > > ..$ Col10: num [1:1147] 498 580 563 563 546 ... > > ..$ Col11: num [1:1147] 252 243 243 227 227 ... > > ..$ Col12: num [1:1147] 165 165 165 165 165 ... > > > > > > > > > Date: Thu, 3 Jan 2013 09:12:11 -0800 > > > From: smartpink...@yahoo.com > > > Subject: Re: [R] splitting matrices > > > To: macque...@llnl.gov > > > CC: eliza_bo...@hotmail.com; r-help@r-project.org > > > > > > Hi, > > > You could also try: > > > set.seed(51) > > > mat1<-matrix(sample(1:5000,1116*12,replace=TRUE),nrow=1116) > > > dim(mat1) > > > #[1] 1116 12 > > > > > > res1<-lapply(split(as.data.frame(mat1),rep(1:36,each=31)),as.matrix) > > > unlist(lapply(res1,nrow)) > > > # 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 > > > 25 26 > > > #31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 > > > 31 31 > > > #27 28 29 30 31 32 33 34 35 36 > > > #31 31 31 31 31 31 31 31 31 31 > > > > > > A.K. > > > > > > > > > > > > > > > ----- Original Message ----- > > > From: "MacQueen, Don" <macque...@llnl.gov> > > > To: eliza botto <eliza_bo...@hotmail.com>; "r-help@r-project.org" > > > <r-help@r-project.org> > > > Cc: > > > Sent: Thursday, January 3, 2013 11:56 AM > > > Subject: Re: [R] splitting matrices > > > > > > This example illustrates a method that may do what you want. > > > > > > ## split a 20x5 matrix into five 4x5 matrices > > > xmat <- matrix(1:100, nrow=20, ncol=5, byrow=TRUE) > > > xsplit <- rep( 1:5, times= rep(4,5)) > > > tmp <- split.data.frame(xmat,xsplit) > > > > > > You will need to change xsplit to fit your dimensions. > > > > > > -Don > > > > > > > > > -- > > > Don MacQueen > > > > > > Lawrence Livermore National Laboratory > > > 7000 East Ave., L-627 > > > Livermore, CA 94550 > > > 925-423-1062 > > > > > > > > > > > > > > > > > > On 1/3/13 8:40 AM, "eliza botto" <eliza_bo...@hotmail.com> wrote: > > > > > > > > > > > > > > >Dear useRs, > > > >i want to split a matrix having 1116rows and 12 columns. i want to split > > > >that matrix into 36 small matrices each having 12 columns and 31 rows. > > > >The big matrix should be splitted row wise. which means that the first > > > >small matrix should copy values which are in first 31 rows and 12 columns > > > >of the big matrix. similarly 2nd small matrix should contain values from > > > >32nd to 63rd row of the big matrix and so on. on the whole i want to have > > > >36 small matrices.i tried > > > >dim(dd) <- c(31,12,35) > > > >but the result are not stisfactory... > > > >thanks in advance > > > >elisa > > > > [[alternative HTML version deleted]] > > > > > > > >______________________________________________ > > > >R-help@r-project.org mailing list > > > >https://stat.ethz.ch/mailman/listinfo/r-help > > > >PLEASE do read the posting guide > > > >http://www.R-project.org/posting-guide.html > > > >and provide commented, minimal, self-contained, reproducible code. > > > > > > ______________________________________________ > > > R-help@r-project.org mailing list > > > https://stat.ethz.ch/mailman/listinfo/r-help > > > PLEASE do read the posting guide > > > http://www.R-project.org/posting-guide.html > > > and provide commented, minimal, self-contained, reproducible code. > > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
