Irucka,
What is the code that you are using that results in a character matrix?
What does the character matrix look like?
If your matrix is called m, submit the following code and share the
results with us.
m[1:6, ]
as.numeric(m[1:6, ])
Jean
iembry <iruc...@mail2world.com> wrote on 11/27/2012 11:35:15 PM:
>
> Hi, how are you?
>
> I have 1000 total columns with 100 rows and I have shown 4 columns of
100
> rows below. I want the zeros to be read in as numerical or integer
values
> rather than a character. Right now I have a 100x0 character matrix
rather
> than a 100x1000 double matrix.
>
> What do I need to do to read in a .csv spreadsheet with counting the
zeros
> as a numerical or integer value?
>
> Thank-you.
>
> Irucka Embry
>
>
> 0 0 0 0
> 0.16387 0.60612 0.87705 0.83798
> 0.32774 1.2122 1.7541 1.676
> 0.4916 1.8184 2.6312 2.5139
> 0.65547 2.4245 3.5082 3.3519
> 0.81934 3.0306 4.3853 4.1899
> 0.98321 3.6367 5.2623 5.0279
> 1.1471 4.2429 6.1394 5.8659
> 1.3109 4.849 7.0164 6.7038
> 1.4748 5.4551 7.8935 7.5418
> 1.6387 6.0612 8.7705 8.3798
> 1.8026 6.6673 9.6476 9.2178
> 1.9664 7.2735 10.525 10.056
> 2.1303 7.8796 11.402 10.894
> 2.2942 8.4857 12.279 11.732
> 2.458 9.0918 13.156 12.57
> 2.6219 9.6979 14.033 13.408
> 2.7858 10.304 14.91 14.246
> 2.9496 10.91 15.787 15.084
> 3.1135 11.516 16.664 15.922
> 3.2774 12.122 17.541 16.76
> 3.4412 12.729 18.418 17.598
> 3.6051 13.335 19.295 18.436
> 3.769 13.941 20.172 19.274
> 3.9328 14.547 21.049 20.112
> 4.0967 15.153 21.926 20.95
> 4.2606 15.759 22.803 21.788
> 4.4244 16.365 23.68 22.625
> 4.5883 16.971 24.557 23.463
> 4.7522 17.578 25.434 24.301
> 4.916 18.184 26.312 25.139
> 5.0799 18.79 27.189 25.977
> 5.2438 19.396 28.066 26.815
> 5.4077 20.002 28.943 27.653
> 5.5715 20.608 29.82 28.491
> 5.7354 21.214 30.697 29.329
> 5.8993 21.82 31.574 30.167
> 6.0631 22.426 32.451 31.005
> 6.227 23.033 33.328 31.843
> 6.3909 23.639 34.205 32.681
> 6.5547 24.245 35.082 33.519
> 6.7186 24.851 35.959 34.357
> 6.8825 25.457 36.836 35.195
> 7.0463 26.063 37.713 36.033
> 7.2102 26.669 38.59 36.871
> 7.3741 27.275 39.467 37.709
> 7.5379 27.882 40.344 38.547
> 7.7018 28.488 41.221 39.385
> 7.8657 29.094 42.098 40.223
> 8.0295 29.7 42.976 41.061
> 8.1934 30.306 43.853 41.899
> 8.1115 30.003 43.414 41.48
> 8.0295 29.7 42.976 41.061
> 7.9476 29.397 42.537 40.642
> 7.8657 29.094 42.098 40.223
> 7.7837 28.791 41.66 39.804
> 7.7018 28.488 41.221 39.385
> 7.6199 28.185 40.783 38.966
> 7.5379 27.882 40.344 38.547
> 7.456 27.579 39.906 38.128
> 7.3741 27.275 39.467 37.709
> 7.2921 26.972 39.029 37.29
> 7.2102 26.669 38.59 36.871
> 7.1283 26.366 38.152 36.452
> 7.0463 26.063 37.713 36.033
> 6.9644 25.76 37.275 35.614
> 6.8825 25.457 36.836 35.195
> 6.8005 25.154 36.398 34.776
> 6.7186 24.851 35.959 34.357
> 6.6367 24.548 35.521 33.938
> 6.5547 24.245 35.082 33.519
> 6.4728 23.942 34.644 33.1
> 6.3909 23.639 34.205 32.681
> 6.3089 23.336 33.766 32.262
> 6.227 23.033 33.328 31.843
> 6.1451 22.73 32.889 31.424
> 6.0631 22.426 32.451 31.005
> 5.9812 22.123 32.012 30.586
> 5.8993 21.82 31.574 30.167
> 5.8173 21.517 31.135 29.748
> 5.7354 21.214 30.697 29.329
> 5.6535 20.911 30.258 28.91
> 5.5715 20.608 29.82 28.491
> 5.4896 20.305 29.381 28.072
> 5.4077 20.002 28.943 27.653
> 5.3257 19.699 28.504 27.234
> 5.2438 19.396 28.066 26.815
> 5.1618 19.093 27.627 26.396
> 5.0799 18.79 27.189 25.977
> 4.998 18.487 26.75 25.558
> 4.916 18.184 26.312 25.139
> 4.8341 17.881 25.873 24.72
> 4.7522 17.578 25.434 24.301
> 4.6702 17.274 24.996 23.882
> 4.5883 16.971 24.557 23.463
> 4.5064 16.668 24.119 23.044
> 4.4244 16.365 23.68 22.625
> 4.3425 16.062 23.242 22.206
> 4.2606 15.759 22.803 21.788
> 4.1786 15.456 22.365 21.369
> 4.0967 15.153 21.926 20.95
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