所以，我有以下 data.frame，我想在一个图中为 yval 与 xval 生成两个图，每个 zval 和类型 tp。左
> df
xval yval se zval cond
1 1.0 1.831564e-02 1.831564e-03 0 a
2 1.2 2.705185e-02 2.705185e-03 0 a
3 1.4 3.916390e-02 3.916390e-03 0 a
4 1.6 5.557621e-02 5.557621e-03 0 a
5 1.8 7.730474e-02 7.730474e-03 0 a
6 2.0 1.053992e-01 1.053992e-02 0 a
7 2.2 1.408584e-01 1.408584e-02 0 a
8 2.4 1.845195e-01 1.845195e-02 0 a
9 2.6 2.369278e-01 2.369278e-02 0 a
10 2.8 2.981973e-01 2.981973e-02 0 a
11 3.0 3.678794e-01 3.678794e-02 0 a
12 3.2 4.448581e-01 4.448581e-02 0 a
13 3.4 5.272924e-01 5.272924e-02 0 a
14 3.6 6.126264e-01 6.126264e-02 0 a
15 3.8 6.976763e-01 6.976763e-02 0 a
16 4.0 7.788008e-01 7.788008e-02 0 a
17 4.2 8.521438e-01 8.521438e-02 0 a
18 4.4 9.139312e-01 9.139312e-02 0 a
19 4.6 9.607894e-01 9.607894e-02 0 a
20 4.8 9.900498e-01 9.900498e-02 0 a
21 5.0 1.000000e+00 1.000000e-01 0 a
22 5.2 9.900498e-01 9.900498e-02 0 a
23 5.4 9.607894e-01 9.607894e-02 0 a
24 5.6 9.139312e-01 9.139312e-02 0 a
25 5.8 8.521438e-01 8.521438e-02 0 a
26 6.0 7.788008e-01 7.788008e-02 0 a
27 6.2 6.976763e-01 6.976763e-02 0 a
28 6.4 6.126264e-01 6.126264e-02 0 a
29 6.6 5.272924e-01 5.272924e-02 0 a
30 6.8 4.448581e-01 4.448581e-02 0 a
31 7.0 3.678794e-01 3.678794e-02 0 a
32 7.2 2.981973e-01 2.981973e-02 0 a
33 7.4 2.369278e-01 2.369278e-02 0 a
34 7.6 1.845195e-01 1.845195e-02 0 a
35 7.8 1.408584e-01 1.408584e-02 0 a
36 8.0 1.053992e-01 1.053992e-02 0 a
37 8.2 7.730474e-02 7.730474e-03 0 a
38 8.4 5.557621e-02 5.557621e-03 0 a
39 8.6 3.916390e-02 3.916390e-03 0 a
40 8.8 2.705185e-02 2.705185e-03 0 a
41 9.0 1.831564e-02 1.831564e-03 0 a
42 9.2 1.215518e-02 1.215518e-03 0 a
43 9.4 7.907054e-03 7.907054e-04 0 a
44 9.6 5.041760e-03 5.041760e-04 0 a
45 9.8 3.151112e-03 3.151112e-04 0 a
46 10.0 1.930454e-03 1.930454e-04 0 a
47 1.0 3.726653e-06 7.453306e-07 0 b
48 1.2 9.929504e-06 1.985901e-06 0 b
49 1.4 2.541935e-05 5.083869e-06 0 b
50 1.6 6.252150e-05 1.250430e-05 0 b
51 1.8 1.477484e-04 2.954967e-05 0 b
52 2.0 3.354626e-04 6.709253e-05 0 b
53 2.2 7.318024e-04 1.463605e-04 0 b
54 2.4 1.533811e-03 3.067621e-04 0 b
55 2.6 3.088715e-03 6.177431e-04 0 b
56 2.8 5.976023e-03 1.195205e-03 0 b
57 3.0 1.110900e-02 2.221799e-03 0 b
58 3.2 1.984109e-02 3.968219e-03 0 b
59 3.4 3.404745e-02 6.809491e-03 0 b
60 3.6 5.613476e-02 1.122695e-02 0 b
61 3.8 8.892162e-02 1.778432e-02 0 b
62 4.0 1.353353e-01 2.706706e-02 0 b
63 4.2 1.978987e-01 3.957974e-02 0 b
64 4.4 2.780373e-01 5.560746e-02 0 b
65 4.6 3.753111e-01 7.506222e-02 0 b
66 4.8 4.867523e-01 9.735045e-02 0 b
67 5.0 6.065307e-01 1.213061e-01 0 b
68 5.2 7.261490e-01 1.452298e-01 0 b
69 5.4 8.352702e-01 1.670540e-01 0 b
70 5.6 9.231163e-01 1.846233e-01 0 b
71 5.8 9.801987e-01 1.960397e-01 0 b
72 6.0 1.000000e+00 2.000000e-01 0 b
73 6.2 9.801987e-01 1.960397e-01 0 b
74 6.4 9.231163e-01 1.846233e-01 0 b
75 6.6 8.352702e-01 1.670540e-01 0 b
76 6.8 7.261490e-01 1.452298e-01 0 b
77 7.0 6.065307e-01 1.213061e-01 0 b
78 7.2 4.867523e-01 9.735045e-02 0 b
79 7.4 3.753111e-01 7.506222e-02 0 b
80 7.6 2.780373e-01 5.560746e-02 0 b
81 7.8 1.978987e-01 3.957974e-02 0 b
82 8.0 1.353353e-01 2.706706e-02 0 b
83 8.2 8.892162e-02 1.778432e-02 0 b
84 8.4 5.613476e-02 1.122695e-02 0 b
85 8.6 3.404745e-02 6.809491e-03 0 b
86 8.8 1.984109e-02 3.968219e-03 0 b
87 9.0 1.110900e-02 2.221799e-03 0 b
88 9.2 5.976023e-03 1.195205e-03 0 b
89 9.4 3.088715e-03 6.177431e-04 0 b
90 9.6 1.533811e-03 3.067621e-04 0 b
91 9.8 7.318024e-04 1.463605e-04 0 b
92 10.0 3.354626e-04 6.709253e-05 0 b
93 1.0 6.065307e-01 1.819592e-01 1 a
94 1.2 7.261490e-01 2.178447e-01 1 a
95 1.4 8.352702e-01 2.505811e-01 1 a
96 1.6 9.231163e-01 2.769349e-01 1 a
97 1.8 9.801987e-01 2.940596e-01 1 a
98 2.0 1.000000e+00 3.000000e-01 1 a
99 2.2 9.801987e-01 2.940596e-01 1 a
100 2.4 9.231163e-01 2.769349e-01 1 a
101 2.6 8.352702e-01 2.505811e-01 1 a
102 2.8 7.261490e-01 2.178447e-01 1 a
103 3.0 6.065307e-01 1.819592e-01 1 a
104 3.2 4.867523e-01 1.460257e-01 1 a
105 3.4 3.753111e-01 1.125933e-01 1 a
106 3.6 2.780373e-01 8.341119e-02 1 a
107 3.8 1.978987e-01 5.936961e-02 1 a
108 4.0 1.353353e-01 4.060058e-02 1 a
109 4.2 8.892162e-02 2.667649e-02 1 a
110 4.4 5.613476e-02 1.684043e-02 1 a
111 4.6 3.404745e-02 1.021424e-02 1 a
112 4.8 1.984109e-02 5.952328e-03 1 a
113 5.0 1.110900e-02 3.332699e-03 1 a
114 5.2 5.976023e-03 1.792807e-03 1 a
115 5.4 3.088715e-03 9.266146e-04 1 a
116 5.6 1.533811e-03 4.601432e-04 1 a
117 5.8 7.318024e-04 2.195407e-04 1 a
118 6.0 3.354626e-04 1.006388e-04 1 a
119 6.2 1.477484e-04 4.432451e-05 1 a
120 6.4 6.252150e-05 1.875645e-05 1 a
121 6.6 2.541935e-05 7.625804e-06 1 a
122 6.8 9.929504e-06 2.978851e-06 1 a
123 7.0 3.726653e-06 1.117996e-06 1 a
124 7.2 1.343812e-06 4.031437e-07 1 a
125 7.4 4.655716e-07 1.396715e-07 1 a
126 7.6 1.549753e-07 4.649259e-08 1 a
127 7.8 4.956405e-08 1.486922e-08 1 a
128 8.0 1.522998e-08 4.568994e-09 1 a
129 8.2 4.496349e-09 1.348905e-09 1 a
130 8.4 1.275408e-09 3.826223e-10 1 a
131 8.6 3.475891e-10 1.042767e-10 1 a
132 8.8 9.101471e-11 2.730441e-11 1 a
133 9.0 2.289735e-11 6.869205e-12 1 a
134 9.2 5.534610e-12 1.660383e-12 1 a
135 9.4 1.285337e-12 3.856012e-13 1 a
136 9.6 2.867975e-13 8.603925e-14 1 a
137 9.8 6.148396e-14 1.844519e-14 1 a
138 10.0 1.266417e-14 3.799250e-15 1 a
139 1.0 2.096114e-01 1.676891e-02 1 b
140 1.2 2.664683e-01 2.131746e-02 1 b
141 1.4 3.320399e-01 2.656320e-02 1 b
142 1.6 4.055545e-01 3.244436e-02 1 b
143 1.8 4.855369e-01 3.884295e-02 1 b
144 2.0 5.697828e-01 4.558263e-02 1 b
145 2.2 6.554063e-01 5.243250e-02 1 b
146 2.4 7.389685e-01 5.911748e-02 1 b
147 2.6 8.166865e-01 6.533492e-02 1 b
148 2.8 8.847059e-01 7.077647e-02 1 b
149 3.0 9.394131e-01 7.515305e-02 1 b
150 3.2 9.777512e-01 7.822010e-02 1 b
151 3.4 9.975031e-01 7.980025e-02 1 b
152 3.6 9.975031e-01 7.980025e-02 1 b
153 3.8 9.777512e-01 7.822010e-02 1 b
154 4.0 9.394131e-01 7.515305e-02 1 b
155 4.2 8.847059e-01 7.077647e-02 1 b
156 4.4 8.166865e-01 6.533492e-02 1 b
157 4.6 7.389685e-01 5.911748e-02 1 b
158 4.8 6.554063e-01 5.243250e-02 1 b
159 5.0 5.697828e-01 4.558263e-02 1 b
160 5.2 4.855369e-01 3.884295e-02 1 b
161 5.4 4.055545e-01 3.244436e-02 1 b
162 5.6 3.320399e-01 2.656320e-02 1 b
163 5.8 2.664683e-01 2.131746e-02 1 b
164 6.0 2.096114e-01 1.676891e-02 1 b
165 6.2 1.616212e-01 1.292970e-02 1 b
166 6.4 1.221507e-01 9.772054e-03 1 b
167 6.6 9.049144e-02 7.239315e-03 1 b
168 6.8 6.571027e-02 5.256822e-03 1 b
169 7.0 4.677062e-02 3.741650e-03 1 b
170 7.2 3.263076e-02 2.610460e-03 1 b
171 7.4 2.231491e-02 1.785193e-03 1 b
172 7.6 1.495813e-02 1.196651e-03 1 b
173 7.8 9.828195e-03 7.862556e-04 1 b
174 8.0 6.329715e-03 5.063772e-04 1 b
175 8.2 3.995846e-03 3.196677e-04 1 b
176 8.4 2.472563e-03 1.978050e-04 1 b
177 8.6 1.499685e-03 1.199748e-04 1 b
178 8.8 8.915937e-04 7.132750e-05 1 b
179 9.0 5.195747e-04 4.156597e-05 1 b
180 9.2 2.967858e-04 2.374286e-05 1 b
181 9.4 1.661699e-04 1.329359e-05 1 b
182 9.6 9.119596e-05 7.295677e-06 1 b
183 9.8 4.905836e-05 3.924669e-06 1 b
184 10.0 2.586810e-05 2.069448e-06 1 b
我已经使用 facet_grid 来生成这个图，但是我想弄清楚一件事。因此，右侧面板用于 z=0，左侧面板用于 z=1。我想将线图例移动到左侧面板内（对于 Z=1）（上角）。我找不到那个选项。
这是我在 R 中用来生成绘图的代码：
plot1 <- ggplot(data=df, aes(x=xval, y=yval, group=cond, colour=cond) ) +
+ geom_smooth(aes(ymin = yval-se, ymax = yval+se, linetype=cond, colour=cond, fill=cond), stat="identity", size=1.1) +
+ scale_colour_hue(l=25) +
+ ylim(-0.1,1.3) + scale_linetype_manual(values = c('a' = 1,'b' = 2))
plot1 + facet_grid(~ zval, scales="free_y") + theme(strip.text.x = element_blank(),strip.background = element_rect(colour="white", fill="white"))