Hello all, I have another question. I'm working with the following dataset:
plot plant leaf_number sen_score plot_lai plant_lai
lai_score leaf_num
104 5 1 90 104 1 82 1
104 5 2 90 104 1 167 2
104 5 3 95 104 1 248 3
104 5 4 100 104 1 343 4
104 6 1 95 104 1 377 5
104 6 2 85 104 1 372 6
104 6 3 90 104 1 335 7
104 6 4 90 104 1 221 8
105 5 1 90 104 1 162 9
105 5 2 95 104 2 145 1
105 5 3 100 104 2 235 2
105 5 4 100 104 2 310 3
105 6 1 70 104 2 393 4
105 6 2 80 104 2 455 5
105 6 3 90 104 2 472 6
105 6 4 80 104 2 445 7
106 5 1 100 104 2 330 8
106 5 2 90 104 2 292 9
106 5 3 100 105 1 64 1
106 5 4 100 105 1 139 2
106 5 10 0 105 1 211 3
106 6 1 100 105 1 296 4
106 6 2 30 105 1 348 5
106 6 3 100 105 1 392 6
106 6 4 40 105 1 405 7
108 5 1 100 105 1 379 8
108 5 2 100 105 1 278 9
108 5 3 100 105 2 64 1
108 5 4 100 105 2 209 2
(Note: 'plant' and 'leaf' column should be separated. '51' means plant 5, leaf
1).
This dataset shows two datasets: The left 4 columns are of one measurement
(leaf senescence), and the right 4 columns are of another (leaf area index). I
have a large amount of plots, and several plants, more than what is listed.
I need to sort both datasets (senescence and leaf area index) so that each plot
has the same number of leaves.
This is hard because sometimes plots in the 'senescence' dataset have more
leaves, and sometimes plots in the 'leaf area index'. Is there a way to sort
both datasets so that this requirement is met? Like I said, there is no way to
tell which dataset has the plot with the minimum amount of leaves; it can be
either one in any case.
Any help would be appreciated!
Isaac
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