The data set for "combined" is pretty huge, but a few columns looks like
this, so just picture it with 187 columns:
dw_area vdw_vol vsa_acc vsa_acid vsa_base vsa_don vsa_hyd
1 0.8322680 0.93714800 -0.478551 -0.279186 0 -0.724420 1.4647400
2 1.8746300 1.26390000 0.231489 -0.279186 0 -0.724420 2.4437300
3 1.2635300 1.27511000 -0.478551 -0.279186 0 -0.724420 1.8885000
4 -0.2091150 0.00245105 -0.478551 -0.279186 0 0.643888 -0.1103640
5 -0.6426310 -0.77541200 -0.478551 -0.279186 0 -0.724420 -0.1678760
6 0.5617160 0.75142800 -0.478551 -0.279186 0 2.012200 0.4365550
7 0.3181530 0.56153700 -0.478551 -0.279186 0 0.728689 0.4913130
8 -0.9256880 -0.95886100 -0.478551 -0.279186 0 -0.724420 -0.4941470
9 -0.4869660 -0.32273400 -0.478551 -0.279186 0 2.012200 -0.7498750
10 -0.1318450 0.41073000 -0.478551 -0.279186 0 -0.724420 -0.1566290
11 -0.3376330 -0.70423700 -0.478551 -0.279186 0 -0.724420 0.1211300
12 1.8514500 1.77306000 0.231489 -0.279186 0 -0.724420 2.1934600
13 -1.1121400 -1.24015000 -0.478551 -0.279186 0 -0.724420 -0.8079080
14 -1.0180100 -0.91463100 1.163990 -0.279186 0 0.152065 -1.5639500
15 0.9840690 0.54838200 1.163990 -0.279186 0 -0.724420 0.9464930
16 0.9221160 0.89172700 -0.478551 -0.279186 0 -0.724420 1.0412800
17 -0.6572660 -0.91214600 -0.478551 -0.279186 0 -0.724420 -0.3433890
18 -1.1652000 -1.11063000 -0.478551 -0.279186 0 -0.724420 -0.7814010
19 -0.9517200 -1.11619000 -0.478551 -0.279186 0 -0.724420 -0.5873950
20 1.8636100 1.50704000 -0.478551 -0.279186 0 -0.724420 1.5324200
21 1.3454900 1.04233000 -0.478551 -0.279186 0 -0.286177 0.7846970
22 -1.3750400 -1.39968000 -0.478551 -0.279186 0 -0.724420 -0.9562210
23 0.4430730 0.63993400 -0.478551 -0.279186 0 2.012200 0.2604830
24 1.7497800 1.68613000 0.231489 -0.279186 0 -0.724420 1.7329500
25 -0.0373934 -0.55246500 -0.478551 -0.279186 0 -0.724420 0.5856500
26 -0.2394720 -0.12850800 -0.347514 -0.279186 0 0.643888 -0.1623170
27 -0.8967770 -1.06392000 -0.478551 -0.279186 0 -0.724420 -0.5233780
28 -0.4451600 -0.26183600 -0.478551 -0.279186 0 -0.724420 -1.0779000
29 -0.5424250 -0.49660500 2.062620 2.203020 0 -0.724420 -0.8550770
30 -0.5771440 -0.85601000 -0.478551 -0.279186 0 -0.724420 -0.0588589
31 -0.6260030 -0.53066600 -0.478551 -0.279186 0 -0.724420 -0.1375320
32 1.0570400 1.30541000 0.941530 -0.279186 0 0.643888 0.7244410
33 0.2571910 0.75395500 0.941530 -0.279186 0 0.643888 -0.2198800
34 0.9883210 0.94507000 2.189390 2.653710 0 0.643888 0.0258676
35 1.7612300 1.95718000 -0.478551 -0.279186 0 -0.724420 2.3069400
36 -0.2426960 -0.25155900 -0.478551 -0.279186 0 2.012200 -0.4236040
37 -0.0908961 -0.13352200 -0.347514 -0.279186 0 0.643888 -0.4903390
38 -1.1075600 -0.92771700 -0.216477 -0.279186 0 -0.724420 -0.8159470
39 2.4950200 2.38145000 3.900680 1.705780 0 -0.101657 1.0432800
40 -0.0593010 -0.10824900 0.941530 1.705780 0 0.643888 -0.4941250
41 -1.3516500 -1.39192000 -0.478551 -0.279186 0 -0.724420 -1.2724300
42 1.2363300 1.38493000 0.231489 -0.279186 0 0.643888 1.0500900
43 -0.3339520 -0.67890300 3.792660 5.691040 0 2.012200 -2.2014700
44 -1.3119500 -1.02913000 -0.347514 -0.279186 0 -0.724420 -1.0122300
45 -0.1282990 0.15140400 -0.478551 -0.279186 0 -0.724420 0.2809100
46 -1.3564000 -1.31133000 -0.478551 -0.279186 0 -0.724420 -0.9906220
47 -0.6378720 -0.85601000 -0.478551 -0.279186 0 -0.724420 -0.3433890
48 -0.8773830 -1.00778000 -0.478551 -0.279186 0 -0.724420 -0.5233780
49 0.8775800 1.15662000 0.941530 -0.279186 0 0.152065 0.3502700
50 -0.2114330 0.12992100 -0.478551 -0.279186 0 2.012200 -0.4322770
51 -0.4391080 -0.31051500 -0.478551 -0.279186 0 0.643888 -0.3195850
52 -0.2952910 -0.23493200 -0.478551 -0.279186 0 0.643888 -0.6866230
53 -0.8967770 -1.06392000 -0.478551 -0.279186 0 -0.724420 -0.5233780
54 -0.4822070 -0.40333200 -0.478551 -0.279186 0 2.012200 -0.7108580
55 -0.4822070 -0.40333200 -0.478551 -0.279186 0 2.012200 -0.7108580
miceSample may be just the last 2 columns (or whatever sample R comes up
with) vsa_don vsa_hyd or looking at my code from my original post, it's
"nvars"
It looks like that code did it perfectly. Thanks.
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