Irucka-
I got the following, which seems to be what you want. Perhaps you could
provide reproducible code.
-tgs
> as.matrix(data)
Time.day X1 X2 X3 X4
[1,] 0 0.00000 0.00000 0.00000 0.00000
[2,] 1 0.16387 0.60612 0.87705 0.83798
[3,] 2 0.32774 1.21220 1.75410 1.67600
[4,] 3 0.49160 1.81840 2.63120 2.51390
[5,] 4 0.65547 2.42450 3.50820 3.35190
[6,] 5 0.81934 3.03060 4.38530 4.18990
[7,] 6 0.98321 3.63670 5.26230 5.02790
[8,] 7 1.14710 4.24290 6.13940 5.86590
> as.matrix(data[,-1])
X1 X2 X3 X4
[1,] 0.00000 0.00000 0.00000 0.00000
[2,] 0.16387 0.60612 0.87705 0.83798
[3,] 0.32774 1.21220 1.75410 1.67600
[4,] 0.49160 1.81840 2.63120 2.51390
[5,] 0.65547 2.42450 3.50820 3.35190
[6,] 0.81934 3.03060 4.38530 4.18990
[7,] 0.98321 3.63670 5.26230 5.02790
[8,] 1.14710 4.24290 6.13940 5.86590
On Wed, Nov 28, 2012 at 8:17 AM, iembry <iruc...@mail2world.com> wrote:
> Hi, let me correct my previous post ("zeros in double matrix rather than
> character matrix").
>
> I have included entries from the .csv file that has 4 columns of 1000
> columns and 101 rows. The first column with the "Time (day)" will not be
> removed, but the row headers are the numbers 1 to 1000 and they will remain
> in the matrix.
>
> In the previous post I mentioned that R makes the 1000 columns and the 101
> rows into a "101x0 character matrix" once I removed the 1st column "Time
> (day)". Instead I want this to be a "101x1000 double matrix".
>
> What needs to be done to make the .csv into a double matrix rather than a
> character matrix when the first row is all zeros (0s)?
>
> Thank-you.
>
> Irucka Embry
>
>
> This is the code that I am using:
>
> Input <- as.matrix(read.csv("Input_Parameter.csv", header = TRUE, sep
> =","))
> Input <- as.matrix(Input[,-1]) # remove column 1 from analysis
>
>
> This is some of the values that are being read from the .csv file:
> Time (day) 1 2 3 4
> 0 0 0 0 0
> 1 0.16387 0.60612 0.87705 0.83798
> 2 0.32774 1.2122 1.7541 1.676
> 3 0.4916 1.8184 2.6312 2.5139
> 4 0.65547 2.4245 3.5082 3.3519
> 5 0.81934 3.0306 4.3853 4.1899
> 6 0.98321 3.6367 5.2623 5.0279
> 7 1.1471 4.2429 6.1394 5.8659
> 8 1.3109 4.849 7.0164 6.7038
> 9 1.4748 5.4551 7.8935 7.5418
> 10 1.6387 6.0612 8.7705 8.3798
> 11 1.8026 6.6673 9.6476 9.2178
> 12 1.9664 7.2735 10.525 10.056
> 13 2.1303 7.8796 11.402 10.894
> 14 2.2942 8.4857 12.279 11.732
> 15 2.458 9.0918 13.156 12.57
> 16 2.6219 9.6979 14.033 13.408
> 17 2.7858 10.304 14.91 14.246
> 18 2.9496 10.91 15.787 15.084
> 19 3.1135 11.516 16.664 15.922
> 20 3.2774 12.122 17.541 16.76
> 21 3.4412 12.729 18.418 17.598
> 22 3.6051 13.335 19.295 18.436
> 23 3.769 13.941 20.172 19.274
> 24 3.9328 14.547 21.049 20.112
> 25 4.0967 15.153 21.926 20.95
> 26 4.2606 15.759 22.803 21.788
> 27 4.4244 16.365 23.68 22.625
> 28 4.5883 16.971 24.557 23.463
> 29 4.7522 17.578 25.434 24.301
> 30 4.916 18.184 26.312 25.139
> 31 5.0799 18.79 27.189 25.977
> 32 5.2438 19.396 28.066 26.815
> 33 5.4077 20.002 28.943 27.653
> 34 5.5715 20.608 29.82 28.491
> 35 5.7354 21.214 30.697 29.329
> 36 5.8993 21.82 31.574 30.167
> 37 6.0631 22.426 32.451 31.005
> 38 6.227 23.033 33.328 31.843
> 39 6.3909 23.639 34.205 32.681
> 40 6.5547 24.245 35.082 33.519
> 41 6.7186 24.851 35.959 34.357
> 42 6.8825 25.457 36.836 35.195
> 43 7.0463 26.063 37.713 36.033
> 44 7.2102 26.669 38.59 36.871
> 45 7.3741 27.275 39.467 37.709
> 46 7.5379 27.882 40.344 38.547
> 47 7.7018 28.488 41.221 39.385
> 48 7.8657 29.094 42.098 40.223
> 49 8.0295 29.7 42.976 41.061
> 50 8.1934 30.306 43.853 41.899
> 51 8.1115 30.003 43.414 41.48
> 52 8.0295 29.7 42.976 41.061
> 53 7.9476 29.397 42.537 40.642
> 54 7.8657 29.094 42.098 40.223
> 55 7.7837 28.791 41.66 39.804
> 56 7.7018 28.488 41.221 39.385
> 57 7.6199 28.185 40.783 38.966
> 58 7.5379 27.882 40.344 38.547
> 59 7.456 27.579 39.906 38.128
> 60 7.3741 27.275 39.467 37.709
> 61 7.2921 26.972 39.029 37.29
> 62 7.2102 26.669 38.59 36.871
> 63 7.1283 26.366 38.152 36.452
> 64 7.0463 26.063 37.713 36.033
> 65 6.9644 25.76 37.275 35.614
> 66 6.8825 25.457 36.836 35.195
> 67 6.8005 25.154 36.398 34.776
> 68 6.7186 24.851 35.959 34.357
> 69 6.6367 24.548 35.521 33.938
> 70 6.5547 24.245 35.082 33.519
> 71 6.4728 23.942 34.644 33.1
> 72 6.3909 23.639 34.205 32.681
> 73 6.3089 23.336 33.766 32.262
> 74 6.227 23.033 33.328 31.843
> 75 6.1451 22.73 32.889 31.424
> 76 6.0631 22.426 32.451 31.005
> 77 5.9812 22.123 32.012 30.586
> 78 5.8993 21.82 31.574 30.167
> 79 5.8173 21.517 31.135 29.748
> 80 5.7354 21.214 30.697 29.329
> 81 5.6535 20.911 30.258 28.91
> 82 5.5715 20.608 29.82 28.491
> 83 5.4896 20.305 29.381 28.072
> 84 5.4077 20.002 28.943 27.653
> 85 5.3257 19.699 28.504 27.234
> 86 5.2438 19.396 28.066 26.815
> 87 5.1618 19.093 27.627 26.396
> 88 5.0799 18.79 27.189 25.977
> 89 4.998 18.487 26.75 25.558
> 90 4.916 18.184 26.312 25.139
> 91 4.8341 17.881 25.873 24.72
> 92 4.7522 17.578 25.434 24.301
> 93 4.6702 17.274 24.996 23.882
> 94 4.5883 16.971 24.557 23.463
> 95 4.5064 16.668 24.119 23.044
> 96 4.4244 16.365 23.68 22.625
> 97 4.3425 16.062 23.242 22.206
> 98 4.2606 15.759 22.803 21.788
> 99 4.1786 15.456 22.365 21.369
> 100 4.0967 15.153 21.926 20.95
>
>
>
> --
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> Sent from the R help mailing list archive at Nabble.com.
>
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