我有一个数据:
data = data.frame(xval, truevalue, Z, Zmin, Zmax, Y, Ymin, Ymax)
我想绘图:
1)xval与真值:这是真线
2)xval与Z的误差条(Zmin,Zmax):这是一个模型
3)xval与Y的误差条(Ymin,Ymax):这是另一个模型
在单个图表中将两个模型与ggplot中的trueline进行比较。我怎么能这样做?
我以前只绘制一个错误栏的代码如下:
require(ggplot2)
ggplot(df, aes(x = x, y = F)) +
geom_point(size = 2,col="red") +
geom_errorbar(aes(ymax = U, ymin = L,col="red")).
数据:
x truval Y Ymin Ymax Z Zmin Zmax
1 3.4 213 128.86930000 120.11653000 205.4866000 3.112501 9.525683 14.46849
2 3.6 129 87.89148000 38.27579000 137.5072000 2.956828 5.745679 17.99412
3 3.8 78 57.50137000 23.90576000 91.0969800 2.849409 5.397766 19.68475
4 4.0 39 37.46327000 16.11152000 58.8150200 4.852883 3.548570 14.19533
5 4.2 30 25.76950000 11.38893000 40.1500700 1.599302 10.008759 19.41591
6 4.4 16 17.15302000 7.33221600 26.9738100 3.276314 10.547963 16.78098
7 4.6 7 12.20945000 5.44359400 18.9753100 2.612158 3.350643 14.79523
8 4.8 2 8.70513800 4.30718800 13.1030900 1.362434 3.694168 18.77055
9 5.0 1 6.29638500 2.62587600 9.9668930 3.264450 8.605551 18.52431
10 5.2 1 4.61383800 1.47820900 7.9794670 2.609167 3.674611 20.42883
11 5.4 0 3.23201500 1.10565400 5.3583770 1.189153 9.257604 14.63917
12 5.6 0 1.92185400 0.57071430 3.2729930 4.349612 7.520131 15.43134
13 5.8 0 1.30018500 0.27379790 2.3265710 3.383852 9.278988 13.68777
14 6.0 0 0.84405380 0.08093337 1.6071740 2.051190 3.678058 12.05836
15 6.2 0 0.53740770 -0.08916827 1.1639840 3.086191 5.330867 17.95173
16 6.4 0 0.23010770 -0.08318029 0.5433957 2.322416 6.803920 21.82935
17 6.6 0 0.15316920 -0.11511460 0.4214530 3.860316 10.824484 21.11373
18 6.8 0 0.15330000 -0.11498380 0.4215838 4.113744 9.305209 15.03836
19 7.0 0 0.07736923 -0.12077150 0.2755099 1.287902 5.236865 13.77305
20 7.2 0 0.00000000 0.00000000 0.0000000 3.930690 6.779964 18.98422
21 7.4 0 0.00000000 0.00000000 0.0000000 3.435644 10.916834 19.18346
22 7.6 0 0.00000000 0.00000000 0.0000000 2.583770 6.425504 15.81924
23 7.8 0 0.00000000 0.00000000 0.0000000 4.931890 9.369571 12.79735
24 8.0 0 0.00000000 0.00000000 0.0000000 2.628918 9.935814 20.37065