Dear R fans,
I would like to create a scatterplot showing the relationship between 4
continuous variables. I thought of using the package "scatterplot 3d" to
have a 3-dimensional plot and then using the size of the symbols to
represent the 4th variable.
Does anybody know how to do this?
I already tried to create this graph using the colour of the symbols, but I
was unable to generate a legend. Can anyone perhaps tell me why?
#dataframe
structure(list(Shannon = c(2.707, 2.525, 2.52, 2.447, 2.655,
2.404, 2.63, 3.427, 3.381, 2.968, 3.247, 3.063, 3.284, 3.24,
2.948, 3.133, 3.482, 3.467, 3.474, 3.659, 3.294, 3.394, 3.293,
3.312, 3.386, 3.755, 3.419, 3.586, 3.539, 3.464, 3.461), H0 = c(19L,
14L, 17L, 13L, 17L, 14L, 17L, 46L, 49L, 29L, 45L, 51L, 65L, 65L,
43L, 56L, 65L, 58L, 59L, 68L, 43L, 55L, 52L, 51L, 55L, 81L, 74L,
86L, 57L, 53L, 58L), H1 = c(14.98425525, 12.49089526, 12.42859666,
11.55363377, 14.22498606, 11.06735739, 13.8737699, 30.78415163,
29.40015657, 19.45297471, 25.71308484, 21.3916359, 26.68228868,
25.53372175, 19.06778001, 22.94270452, 32.52470648, 32.04047669,
32.26554685, 38.82250095, 26.95045014, 29.78485372, 26.92351316,
27.43995053, 29.54752547, 42.73421981, 30.53886089, 36.08942911,
34.4324695, 31.9444993, 31.8488094), H2 = c(11.755, 11.255, 9.507,
10.125, 12.042, 8.397, 11.791, 23.171, 20.917, 13.902, 15.813,
13.739, 15.654, 14.692, 12.078, 13.546, 21.211, 20.437, 22.152,
26.635, 18.077, 19.381, 18.042, 18.856, 19.848, 28.671, 18.047,
21.797, 24.508, 22.898, 21.368), Hinf = c(5.128205128, 7.692307692,
4.504504505, 5.988023952, 6.802721088, 3.831417625, 6.493506494,
9.708737864, 9.615384615, 7.142857143, 5.376344086, 5.988023952,
6.25, 6.060606061, 4.975124378, 5.291005291, 10, 6.756756757,
9.090909091, 10.1010101, 6.41025641, 7.299270073, 8, 9.174311927,
9.345794393, 12.65822785, 7.407407407, 8.130081301, 10.1010101,
9.803921569, 9.523809524), J = c(0.92, 0.957, 0.889, 0.954, 0.937,
0.911, 0.928, 0.895, 0.869, 0.881, 0.853, 0.779, 0.787, 0.776,
0.784, 0.778, 0.834, 0.854, 0.852, 0.867, 0.876, 0.847, 0.833,
0.842, 0.845, 0.855, 0.794, 0.805, 0.875, 0.872, 0.852), EG_18 =
c(11.89625579,
12.12535291, 10.52322645, 13, 11.94721408, 11.74138905, 11.41864537,
13.51174611, 13.08380677, 11.98338672, 12.50012399, 11.33153181,
12.05860699, 11.79889475, 10.978733, 11.56314923, 13.04645068,
13.19345708, 13.24637756, 13.8929676, 12.76104192, 12.92668353,
12.46911655, 12.62784458, 12.87743784, 14.10318753, 12.5553675,
13.19308414, 13.6559399, 13.38873489, 13.18810233), TD = c(3.584221748,
3.327044025, 3.260869565, 3.52173913, 3.635220126, 2.890710383,
3.136082474, 3.433096849, 3.49944009, 3.482109228, 3.561288523,
2.994932583, 3.36222162, 3.252259735, 2.986886848, 3.037585943,
3.181734279, 3.012922623, 3.194701667, 3.280983686, 3.114578401,
3.092463169, 3.352683024, 3.283793025, 3.358701828, 3.445251948,
2.873097033, 3.03782087, 3.706619585, 3.325312529, 3.34325186
), MI = c(2.780487805, 2.52173913, 2.622222222, 2.833333333,
2.911764706, 2.434782609, 2.435897436, 2.75, 2.748, 2.720930233,
2.818584071, 2.377319588, 2.502692998, 2.565891473, 2.391644909,
2.418439716, 2.663179916, 2.630177515, 2.550724638, 2.696103896,
2.75464684, 2.703583062, 2.825072886, 2.721088435, 2.782334385,
2.777777778, 2.618834081, 2.67, 2.743589744, 2.766917293, 2.678321678
), D = c(71.81184669, 58.1027668, 70.89466089, 71.0550887, 65.69900688,
70.1863354, 61.76980914, 69.90865312, 67.91876076, 69.8495212,
70.04579295, 64.99869296, 67.95894908, 68.35197804, 64.01693209,
64.74605873, 69.7579387, 68.87333164, 67.97582936, 71.24014378,
71.19738387, 71.54931462, 71.16698452, 70.27831123, 69.36640407,
70.84656085, 66.61085878, 68.05601309, 70.77177025, 71.58583791,
70.39500159), Dstar = c(76.57440089, 60.99585062, 77.46767581,
74.46183953, 69.54177898, 76.21091355, 65.7635468, 72.70359475,
71.04353504, 74.38811189, 74.44360179, 70.00021147, 72.46614626,
73.26103888, 69.67652555, 69.76706304, 73.05627881, 72.20245655,
70.9831013, 73.8268811, 75.1172186, 75.19617965, 75.12340981,
73.96171487, 72.81633337, 73.22565624, 70.36018789, 71.22055825,
73.51203798, 74.57343, 73.61652018), Dplus = c(79.03091061, 63.89324961,
75.94537815, 74.35897436, 70.27310924, 76.13814757, 72.89915966,
72.10489993, 71.81729835, 72.06192822, 73.14574315, 73.91253644,
74.60851648, 73.50481859, 75.84204413, 73.58345358, 74.11401099,
73.79656037, 73.38231611, 73.45415778, 75.39406006, 75.74795575,
72.89377289, 74.42016807, 74.15103415, 73.55820106, 71.94689797,
73.71748699, 72.52953813, 74.98444951, 74.6151092), Lplus = c(435.1033529,
252.705357, 668.3739672, 828.6707188, 504.3671881, 493.6306125,
577.0690629, 458.7755483, 507.6234298, 470.0924753, 481.281377,
455.4709007, 533.7458772, 520.7742317, 504.3544853, 482.9535419,
514.2758555, 503.053443, 513.1260705, 536.5610267, 523.9890434,
508.1071602, 489.4344326, 529.9859238, 505.6095669, 510.3928711,
482.2434835, 517.598572, 464.1093393, 525.4025899, 503.6304382
), size_div = c(2.096, 1.738, 2.109, 2.312, 2.133, 2.547, 1.687,
2.027, 2.189, 1.894, 2.174, 2.218, 2.19, 2.129, 2.118, 2.154,
2.156, 2.311, 2.161, 2.364, 2.236, 2.302, 1.994, 1.99, 2.21,
2.187, 2.005, 2.097, 2.105, 2.29, 2.283)), .Names = c("Shannon",
"H0", "H1", "H2", "Hinf", "J", "EG_18", "TD", "MI", "D", "Dstar",
"Dplus", "Lplus", "size_div"), class = "data.frame", row.names = c(NA,
-31L))
#This is the code I used for displaying the 4th variable as a colour; I just
followed an example from the package manual
library(scatterplot3d)
Dstarscale <- hsv((Dstar <- 0.7 * Dstar/ diff(range(Dstar))) - min(Dstar) +
0.3)
Dstarscale
s3d <- scatterplot3d(MI, TD, EG_18, type = "h", pch = " ")
s3d$points(MI, TD, EG_18, pch = 16, col = Dstarscale)
s3d.coords <- s3d$xyz.convert(MI, TD, EG_18)
plot(seq(min(Dstarscale), max(Dstarscale), length = 100), rep(0, 100), pch =
15,
axes = FALSE, xlab = "color code of variable \"Dstar\"",
ylab = "", col = hsv(seq(0.3, 1, length = 100))
Thanks for the help!
Ellen
--
View this message in context: http://r.789695.n4.nabble.com/3D-scatterplot-using-size-of-symbols-for-the-fourth-variable-tp4637409.html
Sent from the R help mailing list archive at Nabble.com.