Dear R Users,
I have a 7x16 matrix with missing values. I'd like to do some kind of
2-d surface fitting/interpolation to fill in the missing values, while
guaranteeing that they are positive. Most grateful if someone could
point me in the right direction.
Thanks in advance
Sample matrix below and attached as a .RData file.
> foo
1 2 3 4 5 6 7
8 9 10 11 12 13
2 NA 55.75417 NA 43.44104 59.44768 55.34285 58.53618
118.8807 111.1920 154.5540 127.3393 88.04989 241.7025
5 NA 77.64135 56.57198 61.53534 116.10166 136.96051 133.25444
170.6501 241.7467 285.3510 357.0217 368.97401 477.4639
7 83.90995 93.68244 85.06739 131.15748 171.57145 147.81372 181.51127
224.6683 275.8416 334.7789 386.1349 425.45739 458.5685
10 NA NA 103.18350 161.03391 159.35678 168.12955 179.35892
212.2448 270.1914 310.5895 360.8537 415.83569 479.2682
15 NA NA NA NA 198.25427 168.32441 188.73329
213.6808 225.3273 268.5376 NA NA NA
30 NA NA NA 136.19717 173.22215 169.56444 194.79908
265.9728 295.3250 344.5198 310.4714 NA NA
100 NA NA NA NA NA NA NA
NA NA NA NA 500.12256 NA
14 15 16
2 514.5015 559.6716 NA
5 645.0066 748.5740 831.9362
7 660.0408 828.3243 580.3799
10 520.8122 884.3661 705.2931
15 NA NA NA
30 NA NA NA
100 NA NA NA
>