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geom_point() 함수의 aes() 함수의 size 인수는 ggplot을 사용하여 분산 형 플롯을 플로팅 할 때 무시됩니다.ggplot은 분산 형 플롯에서 geom_point() 함수의 aes() 함수를 무시합니다.
아래에서 자세한 정보를 찾아보십시오.
> actbins
Var1 Freq prprob ObsFreq Obsprob
1 (0,0.01] 997 0.005 17 0.01705115
2 (0.01,0.02] 1126 0.015 22 0.01953819
3 (0.02,0.03] 896 0.025 16 0.01785714
4 (0.03,0.04] 742 0.035 32 0.04312668
5 (0.04,0.05] 603 0.045 19 0.03150912
6 (0.05,0.06] 479 0.055 30 0.06263048
7 (0.06,0.07] 373 0.065 19 0.05093834
8 (0.07,0.08] 341 0.075 20 0.05865103
9 (0.08,0.09] 317 0.085 21 0.06624606
10 (0.09,0.1] 258 0.095 16 0.06201550
11 (0.1,0.11] 237 0.105 18 0.07594937
12 (0.11,0.12] 177 0.115 22 0.12429379
13 (0.12,0.13] 182 0.125 20 0.10989011
14 (0.13,0.14] 132 0.135 19 0.14393939
15 (0.14,0.15] 137 0.145 18 0.13138686
16 (0.15,0.16] 141 0.155 23 0.16312057
17 (0.16,0.17] 132 0.165 25 0.18939394
18 (0.17,0.18] 118 0.175 22 0.18644068
19 (0.18,0.19] 89 0.185 20 0.22471910
20 (0.19,0.2] 97 0.195 17 0.17525773
21 (0.2,0.21] 98 0.205 20 0.20408163
22 (0.21,0.22] 109 0.215 18 0.16513761
23 (0.22,0.23] 94 0.225 14 0.14893617
24 (0.23,0.24] 82 0.235 22 0.26829268
25 (0.24,0.25] 89 0.245 29 0.32584270
26 (0.25,0.26] 74 0.255 16 0.21621622
27 (0.26,0.27] 55 0.265 16 0.29090909
28 (0.27,0.28] 76 0.275 15 0.19736842
29 (0.28,0.29] 69 0.285 23 0.33333333
30 (0.29,0.3] 73 0.295 25 0.34246575
31 (0.3,0.31] 50 0.305 12 0.24000000
32 (0.31,0.32] 66 0.315 22 0.33333333
33 (0.32,0.33] 45 0.325 17 0.37777778
34 (0.33,0.34] 49 0.335 13 0.26530612
35 (0.34,0.35] 43 0.345 18 0.41860465
36 (0.35,0.36] 55 0.355 27 0.49090909
37 (0.36,0.37] 44 0.365 15 0.34090909
38 (0.37,0.38] 43 0.375 20 0.46511628
39 (0.38,0.39] 49 0.385 21 0.42857143
40 (0.39,0.4] 47 0.395 19 0.40425532
41 (0.4,0.41] 34 0.405 16 0.47058824
42 (0.41,0.42] 41 0.415 25 0.60975610
43 (0.42,0.43] 34 0.425 19 0.55882353
44 (0.43,0.44] 21 0.435 11 0.52380952
45 (0.44,0.45] 29 0.445 13 0.44827586
46 (0.45,0.46] 23 0.455 7 0.30434783
47 (0.46,0.47] 13 0.465 6 0.46153846
48 (0.47,0.48] 21 0.475 11 0.52380952
49 (0.48,0.49] 19 0.485 8 0.42105263
50 (0.49,0.5] 16 0.495 7 0.43750000
51 (0.5,0.51] 17 0.505 13 0.76470588
52 (0.51,0.52] 18 0.515 9 0.50000000
53 (0.52,0.53] 4 0.525 1 0.25000000
54 (0.53,0.54] 15 0.535 5 0.33333333
55 (0.54,0.55] 5 0.545 1 0.20000000
56 (0.55,0.56] 8 0.555 5 0.62500000
57 (0.56,0.57] 2 0.565 2 1.00000000
58 (0.57,0.58] 9 0.575 6 0.66666667
59 (0.58,0.59] 6 0.585 3 0.50000000
60 (0.59,0.6] 10 0.595 3 0.30000000
61 (0.6,0.61] 5 0.605 3 0.60000000
62 (0.61,0.62] 14 0.615 8 0.57142857
63 (0.62,0.63] 2 0.625 1 0.50000000
64 (0.63,0.64] 0 0.635 0 NaN
65 (0.64,0.65] 4 0.645 2 0.50000000
66 (0.65,0.66] 2 0.655 0 0.00000000
67 (0.66,0.67] 3 0.665 2 0.66666667
68 (0.67,0.68] 0 0.675 0 NaN
69 (0.68,0.69] 0 0.685 0 NaN
70 (0.69,0.7] 0 0.695 0 NaN
71 (0.7,0.71] 0 0.705 0 NaN
72 (0.71,0.72] 1 0.715 0 0.00000000
73 (0.72,0.73] 0 0.725 0 NaN
74 (0.73,0.74] 0 0.735 0 NaN
75 (0.74,0.75] 0 0.745 0 NaN
76 (0.75,0.76] 0 0.755 0 NaN
77 (0.76,0.77] 0 0.765 0 NaN
78 (0.77,0.78] 0 0.775 0 NaN
79 (0.78,0.79] 1 0.785 0 0.00000000
80 (0.79,0.8] 0 0.795 0 NaN
81 (0.8,0.81] 0 0.805 0 NaN
82 (0.81,0.82] 0 0.815 0 NaN
83 (0.82,0.83] 0 0.825 0 NaN
84 (0.83,0.84] 0 0.835 0 NaN
85 (0.84,0.85] 0 0.845 0 NaN
86 (0.85,0.86] 0 0.855 0 NaN
87 (0.86,0.87] 0 0.865 0 NaN
88 (0.87,0.88] 0 0.875 0 NaN
89 (0.88,0.89] 0 0.885 0 NaN
90 (0.89,0.9] 0 0.895 0 NaN
91 (0.9,0.91] 0 0.905 0 NaN
92 (0.91,0.92] 0 0.915 0 NaN
93 (0.92,0.93] 0 0.925 0 NaN
94 (0.93,0.94] 0 0.935 0 NaN
95 (0.94,0.95] 0 0.945 0 NaN
96 (0.95,0.96] 0 0.955 0 NaN
97 (0.96,0.97] 0 0.965 0 NaN
98 (0.97,0.98] 0 0.975 0 NaN
99 (0.98,0.99] 0 0.985 0 NaN
100 (0.99,1] 0 0.995 0 NaN
내 코드는 다음과 같습니다 :
ggplot(actbins, aes(x = prprob, y = Obsprob)) +
geom_point(aes(size = Freq), color = 'red', size = 2, alpha = 0.5)
출력을는 다음과 같다
산포도 :
내 dataframe는 다음과
aes() 함수의 size 인수가 무시됩니다.
왜 이런 경우인지 설명하고 그에 따라 조언 해 주실 수 있습니까?
당신은 크기 '로 재정의 = 2'은'AES 외부()'. – Axeman