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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