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 <iruckaE@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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