我有以下data.frame:改善情節與3個變量
> dd
V1 V2 V3
1 14.743730 1.5762030 1.820564e+05
2 11.293525 1.5616743 1.849190e+07
3 9.937889 4.2807281 5.226222e+07
4 15.483217 0.6055921 1.612945e+05
5 11.512925 0.8590718 1.653430e+07
6 9.271709 3.5639570 1.648311e+08
7 12.154779 1.0913056 7.725100e+06
8 12.254863 2.2639289 5.767500e+06
9 10.868568 1.4670616 2.142830e+07
10 12.384219 0.8867792 2.831100e+06
11 13.742940 0.3268744 1.516208e+06
12 12.315132 1.2894085 4.788700e+06
13 14.989849 0.5521075 1.768097e+05
14 11.451050 1.1676040 1.751310e+07
15 15.363073 0.6223934 1.657917e+05
16 12.899220 0.4755159 1.967226e+06
17 12.464293 0.9886397 2.086363e+06
18 12.736701 0.4495683 2.018285e+06
19 8.616858 4.5335367 2.774000e+08
20 10.950807 1.6357879 2.142830e+07
21 11.005428 2.6383457 2.044950e+07
22 9.629051 2.8459297 1.648311e+08
23 12.043554 1.6499405 9.682700e+06
24 14.914123 0.5430869 1.785336e+05
25 16.979896 0.3030517 2.360639e+04
26 13.815511 1.0962220 1.456639e+06
27 15.017750 0.4717264 1.760602e+05
28 11.849398 0.9813975 1.261910e+07
29 10.454495 3.5180136 2.338590e+07
30 9.011889 3.1449919 1.648311e+08
31 9.553930 3.5578561 1.648311e+08
32 11.608236 1.3658448 1.555550e+07
33 13.369223 1.0920776 1.762991e+06
34 11.515771 1.4969232 1.653430e+07
35 8.764053 3.9874923 2.774000e+08
36 10.122623 1.7772289 5.226222e+07
37 14.230083 1.0955896 1.022641e+06
38 10.098232 2.3853124 5.226222e+07
39 10.714418 2.3483052 2.240710e+07
40 8.969804 4.1778522 1.648311e+08
41 17.924744 0.9372727 1.354203e+04
42 7.811163 8.3438712 2.774000e+08
43 18.910904 0.6453018 6.860896e+03
44 10.839581 1.7566555 2.142830e+07
45 10.839581 1.6449275 2.142830e+07
46 13.870945 0.5644657 1.414090e+06
47 11.440355 0.8434520 1.751310e+07
48 13.923468 0.8897043 1.363032e+06
49 11.617285 1.0667866 1.555550e+07
50 11.502875 0.5134841 1.653430e+07
51 18.078190 0.3824371 1.288279e+04
52 13.304685 0.6976290 1.797030e+06
53 9.629051 4.0785583 1.648311e+08
54 17.460501 0.7800599 1.501846e+04
55 12.623137 2.2468834 2.052324e+06
56 10.982212 2.7085846 2.044950e+07
57 10.540937 3.5114572 2.240710e+07
58 13.892472 0.8788488 1.388561e+06
59 11.679287 1.4905993 1.457670e+07
60 13.785051 0.8933495 1.482169e+06
61 8.006368 6.2710499 2.774000e+08
62 9.210340 2.5349723 1.648311e+08
63 13.122363 0.6069901 1.882128e+06
64 17.359364 0.6707361 1.525865e+04
65 18.195729 0.3666130 1.230514e+04
66 11.751942 1.2659074 1.457670e+07
67 10.477288 1.5443280 2.338590e+07
68 11.517913 0.8443011 1.653430e+07
69 11.476261 2.2252419 1.751310e+07
70 9.705037 3.5185753 1.648311e+08
71 12.647548 1.3738172 2.043814e+06
72 11.231888 2.0682796 1.947070e+07
73 10.889304 3.7001075 2.142830e+07
74 12.283497 2.2255645 5.767500e+06
75 10.933107 1.2043548 2.142830e+07
76 11.881727 1.0832527 1.261910e+07
77 11.191342 1.8457868 1.947070e+07
78 16.801192 0.4532456 5.261309e+04
79 13.028931 1.5979574 1.924677e+06
80 10.668955 1.0840667 2.240710e+07
81 10.961278 2.3257595 2.044950e+07
82 8.895630 3.5105186 2.774000e+08
83 16.518106 0.4719416 8.919001e+04
84 13.334976 0.7971067 1.780011e+06
85 13.617060 1.2195412 1.609815e+06
86 9.908475 5.4032295 5.226222e+07
87 8.881836 4.5779464 2.774000e+08
88 16.603536 0.6787417 7.922130e+04
89 17.529083 0.5859315 1.484092e+04
90 15.226498 0.9309800 1.702888e+05
91 11.478334 1.6612984 1.751310e+07
92 9.257033 6.6170833 1.648311e+08
93 16.001562 0.8570780 1.343115e+05
94 14.669926 0.4920395 3.078192e+05
95 17.804495 0.4367456 1.399240e+04
96 18.292847 0.6576827 1.177319e+04
97 10.792565 2.4264054 2.142830e+07
98 15.717618 0.5619723 1.508011e+05
99 14.077875 1.1319117 1.201346e+06
100 12.007622 1.8263940 1.066150e+07
我想產生具有所有三個變量在一起的身影。
我目前使用
p <- ggplot(dd, aes(V1,V2))
p + geom_point()
p + geom_point(aes(size = V3)) + scale_size_area() + theme_bw() +
theme(
plot.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank()) +
theme(axis.line = element_line(color = 'black')) +
xlab("V1") +
ylab("V2")
生產
不過,我不認爲這是數字最引人注目。爲了使這個數字更好,有人可以建議另一種數字類型嗎?
誠實。考慮到您代表3個連續變量,我認爲這是提供信息 –
也許添加顏色漸變?另外,您可能需要手動擴展scale_size,因爲它非常簡潔。 – tonytonov
您已經在同一個圖上使用V1,V2和V3。也許你可以擴大你的問題,使其更清楚(對我)? –