使用ggplot2更改一组多行中某些行的行宽 [英] Changing line width of some lines out of a group of multiple lines using ggplot2
本文介绍了使用ggplot2更改一组多行中某些行的行宽的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
表单invivo invitro时间Fa.IVIVC Fabs
1 1 0.00000 0.00000 0.00 Fa = m * Fd + c 26.93499
2 1 99.99999 57.00039 0.67 Fa = m * Fd + c 74.71297
3 1 100.00000 79.19487 1.33 Fa = m * Fd + c 93.31648
4 1 100.00000 89.94020 2.00 FA = M *的Fd + C 102.32326
5分配1 100.00000 94.48189 2.67 FA = M *的Fd + C 106.13013
6分配1 100.00000 96.53548 3.33 FA = M *的Fd + C 107.85145
我使用dput（）在这个问题的最后粘贴了整个数据框，以便重现我的示例。我的例子假设你将dput输出分配给对象df。
我想将列invivo绘制为Y轴，将invitro绘制为X轴在gpplot2调用中分配适当标签的表格列的颜色点（见下文）。然后，我在该图上覆盖由列Fabs的子集针对invitro指定的一系列线，其中线类型由Fa.IVIVC列确定。下面是我用来创建剧情的命令，其后是结果：
library（ggplot2）
> ggplot（）+ geom_point（data = df，aes（x = invitro，y = invivo，
+ color = factor（Form，labels = c（Fast，Medium，Slow）））） +
+ geom_line（data = subset（df，Form == 3&`Fa.IVIVC`！=Sigmoid&
+`Fa.IVIVC`！=DWeibull），aes （x = invitro，y = Fabs，linetype =`Fa.IVIVC`））+
+ labs（title =Plot，color =Formulation）+
+ scale_x_continuous（limits = c （），+ b $ b + theme（panel.grid.major = element_blank（），panel.grid.minor = element_blank（），
+ scale_y_continuous（limits = c（0，100） panel.background = element_blank（），axis.line = element_line（color =black））
有人可以告诉我如何手动更改两个（八个）t他是为了让他们更加突出？谢谢。
>输入（df）
结构（列表（Form = c（1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，
1L，1L，1L， 1L，1L，1L，1L，2L，2L，2L，2L，2L，2L，2L，2L，2L，
2L，2L，2L，2L，2L，2L，2L，2L，3L，3L， 3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，1L，1L，1L，1L，1L， $ b 1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，2L，2L，2L，2L，2L，2L，
2L，2L，2L，2L，2L，2L， 2L，2L，2L，2L，2L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L， 1L，1L，1L，
1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，2L，2L，2L，
2L，2L， 2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，3L，3L，3L，3L，3L，3L，3L，3L，3L， 3L，3L，3L，3L，3L，3L，1L，
1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，
2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，
2L，3L，3L，3L，3L， 3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，1L，1L，1L，1L，1L， 1L，1L，1L，1L，
1L，1L，1L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，
2L，2L，2L，2L，3L，3L，3L， 3L，3L，3L，3L，3L，3L，3L，3L，3L，
3L，3L，3L，3L，3L，1L， 1L，1L，
1L，1L，1L，1L，1L，1L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，
2L，2L，2L， 2L，2L，2L，2L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，图1L，1L，1L，1L，1L，1L，
1L，1L，1L，1L，1L，1L，1L，1L，1L，2L，2L，2L，2L，2L，2L，2L， $ b 2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，3L，3L，3L，3L，3L，3L，
3L，3L，3L，3L，3L， 3L，3L，3L，3L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L， 2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，3L，3L，3L， 3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，1L，1L，1L，1L，1L，1L，1L，1L， 1L，1L，1L，1L，1L，1L，2L，
2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，
3L，3L，3L，3L，3L， 1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L， 1L，1L，1L，1L，
1L，1L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，
2L， 2L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，
3L，3L，3L，3L），invivo = c ，100,100,100,100，
100,100,100,100,100,100,100,100,100,100,100,100,100，100,100,100，0,13.0348383，
23.19770255,95.89812941,99.94931988,999.99614995 ，99.99979491，
99.99999186，99.99999974，99.99999999，100，100，100，100，100，
100，100，0，2.069875621，6.072987344，43.35498005，96.60344484，
99.99980946，99.99994989，99.99994989 ，99.99994989，99.99994989，
99.99994989，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989,0.9999998579,100,100,100,100，
100,100,100,100 ，100，100，100，100，100，100，100，0，13.0348383，
23.19770255，95.89812941，99.94931988，99.99614995，99.99979491，
99.99999186，99.99999974， 99.99999999，100，100，100，100，100，
100，100，0，2.069875621，6.072987344，43.35498005，96.60344484，
99.99980946，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989， 99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，0，99.99998579，100，100，100，100，
100，100，100，100，100，100，100，100，100， 100,100,0,13.0348383，
23.19770255,95.89812941,99.94931988,999.99614995,99.99979491，
99.99999186，99.99999974，99.99999999,100,100,100,100,100，
100,100， 0，2.069875621，6.072987344，43.35498005，96.60344484，
99.99980946，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，0，99.99998579， 100,100,100,100,110,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,01,13348383，
23.19770255,95.89812941,99.94931988,999.99614995， 99.99979491，
99.99999186，99.99999974，99。 99999999，100，100，100，100，100，
100，100，0，2.069875621，6.072987344，43.35498005，96.60344484，
99.99980946，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989， 99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，0，99.99998579，100，100，100，100，
100，100，100，100，100，100，100，100，100， 100,100,0,13.0348383，
23.19770255,95.89812941,99.94931988,999.99614995,99.99979491，
99.99999186，99.99999974，99.99999999,100,100,100,100,100，
100,100， 0，2.069875621，6.072987344，43.35498005，96.60344484，
99.99980946，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，0，99.99998579， 100,100,100,100,110,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,01,13348383，
23.19770255,95.89812941,99.94931988,999.99614995， 99.99979491，
99.99999186，99.99999974，99.9999 9999,100,100,100,100,100,100,100,100,100b $ b 100,100,02,069875621,6.072987344,43.35498005,96.60344484
99.99980946 99.99994989 99.99994989 99.99994989 99.99994989
99.99994989， 99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，0，99.99998579，100，100，100，100，
100，100，100，100，100，100，100，100，100， 100,100,0,13.0348383，
23.19770255,95.89812941,99.94931988,999.99614995,99.99979491，
99.99999186，99.99999974，99.99999999,100,100,100,100,100，
100,100， 0，2.069875621，6.072987344，43.35498005，96.60344484，
99.99980946，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，0，99.99998579， 100,100,100,100,110,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,01,13348383，
23.19770255,95.89812941,99.94931988,999.99614995， 99.99979491，
99.99999186，99.99999974，99.99999999 ，100，100，100，100，100，
100，100，0，2.069875621，6.072987344，43.35498005，96.60344484，
99.99980946，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989 ，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989,0,99.99998579,100,100,100,100，
100,100,100,100,100,100,100,100,100,100,100,100,100,100,100 ，100,0,13.0348383，
23.19770255,95.89812941,99.94931988,999.99614995,999.99979491，
99.99999186，99.99999974，99.99999999,100,100,100,100,100，
100,100,0 ，2.069875621，6.072987344,43.35498005,96.60344484，
99.99980946，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989,0.99.99998579,100 ，100，100，100，
100，100，100，100，100，100，100，100，100，100，100，0，13.0348383，
23.19770255，95.89812941，99.94931988，99.99614995，99.99979491 ，
99.99999186，99.99999974，99.99999999，10 0，100，100，100，100，
100，100，0，2.069875621，6.072987344，43.35498005，96.60344484，
99.99980946，99.99994989，99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989， 99.99994989，99.99994989，99.99994989，
99.99994989，99.99994989），invitro = c（0,57.00039229,79.19486901，
89.94020448,94.48189406,96.53547792,97.6846376,98.40076271，
98.8676286,99.19033157,99.41366963,99.56873896 ，99.68122405，
99.86434085,99.93886517,99.98592267,99.99895618,0.13.96103106，
28.91044539,43.21827297,55.60380457,65.56707672,73.47911752，
79.47296755,83.87519276,87.18727142,89.64789772,91.47785689，
92.90936128,95.67702506,97.26097381,98.86512577,99.79579063
0 3.232083127 9.730153549 18.07219246 27.12446726 35.98788691
44.41521695 51.96255092 58.40744672 63.94025941 68.53310823
72.25691906 75.35971576 81.78318811 ，85.74014133,90.29959282，
93.32240733,0,57.00039229,79.19486901， 89.94020448,94.48189406
96.53547792,97.6846376,98.40076271,98.8676286,99.19033157
99.41366963 99.56873896 99.68122405 99.86434085 99.93886517
99.98592267 99.99895618 0 13.96103106 28.91044539 43.21827297
55.60380457,65.56707672,73.47911752,79.47296755,83.87519276，
87.18727142,89.64789772,91.47785689,92.90936128,95.67702506，
97.26097381,98.86512577,99.79579063,0.3232083127,9.730153549，
18.07219246，27.12446726， 35.98788691,44.41521695,51.96255092，
58.40744672,63.94025941,68.53310823,72.25691906,75.35971576，
81.78318811,85.74014133,90.29959282,93.32240733,0.57.00039229，
79.19486901,89.94020448,94.48189406,96.53547792,97.6846376，
98.40076271，98.8676286，99.19033157，99.41366963，99.56873896，
99.68122405，99.86434085，99.93886517，99.98592267，99.99895618，
0，13.96103106，28.91044539，43.21827297，55.60380457，65.56707672，
73.47911752， 79.47296755，83.8751927 6,87.18727142,89.64789772，
91.47785689,92.90936128,95.67702506,97.26097381,98.86512577，
99.79579063,0.3232083127,9.730153549,18.07219246,27.12446726，
35.98788691,44.41521695,51.96255092,58.40744672,63.94025941,63.94253995，
68.53310823,72.25691906,75.35971576,81.78318811,85.74014133
90.29959282,93.32240733,0.57.00039229,79.19486901 89.94020448
94.48189406 96.53547792 97.6846376 98.40076271 98.8676286
99.19033157
$ b $ 99.41366963，99.56873896，99.68122405，99.86434085，
99.93886517，99.98592267，99.99895618，0，13.96103106，28.91044539，
43.21827297，55.60380457，65.56707672，73.47911752，79.47296755，
83.87519276，87.18727142，89.64789772，91.47785689， 92.90936128
95.67702506 97.26097381 98.86512577 99.79579063 0 3.232083127
9.730153549 18.07219246 27.12446726 35.98788691 44.41521695
51.96255092 58.40744672 63.94025941 68.53310823 72.25691906
75.35971576，81.78318811，85.740 14133,90.29959282,93.32240733，
0,57.00039229,79.19486901,89.94020448,94.48189406,96.53547792，
97.6846376,98.40076271,98.8676286,99.19033157,99.41366963，
99.56873896,99.68122405,99.86434085,99.93886517,99.98592267，
99.99895618,0,13.96103106,28.91044539,43.21827297,55.60380457，
65.56707672,73.47911752,79.47296755,83.87519276,87.18727142，
89.64789772,91.47785689,92.90936128,95.67702506,97.26097381，
98.86512577， 99.79579063,0.3232083127,9.730153549,18.07219246，
27.12446726,35.98788691,44.41521695,51.96255092,58.40744672，
63.94025941,68.53310823,72.25691906,75.35971576,81.78318811，
85.74014133,90.29959282,93.32240733,0， 57.00039229 79.19486901
89.94020448 94.48189406 96.53547792 97.6846376 98.40076271
98.8676286 99.19033157 99.41366963 99.56873896 99.68122405
99.86434085 99.93886517 99.98592267 99.99895618 0 13.96103106
28.91044539，43.21827297，5 5.60380457，65.56707672，73.47911752，
79.47296755，83.87519276，87.18727142，89.64789772，91.47785689，
92.90936128，95.67702506，97.26097381，98.86512577，99.79579063，
0，3.232083127，9.730153549，18.07219246，27.12446726，35.98788691，
44.41521695，51.96255092，58.40744672，63.94025941，68.53310823，
72.25691906，75.35971576，81.78318811，85.74014133，90.29959282，
93.32240733，0，57.00039229，79.19486901，89.94020448，94.48189406，
96.53547792， 97.6846376,98.40076271,98.8676286,99.19033157，
99.41366963,99.56873896,99.68122405,99.86434085,99.93886517，
99.98592267,99.99895618,0.13.96103106,28.91044539,43.21827297，
55.60380457,65.56707672,73.47911752,79.47296755， 83.87519276，
87.18727142,89.64789772,91.47785689,92.90936128,95.67702506，
97.26097381,98.86512577,99.79579063,0.3232083127,9.730153549，
18.07219246,27.12446726,35.98788691,44.41521695,51.96255092，
58.40744672，63.9402594 1，68.53310823,72.25691906,75.35971576，
81.78318811,85.74014133,90.29959282,93.32240733,0.57.00039229，
79.19486901,89.94020448,94.48189406,96.53547792,97.6846376，
98.40076271,98.8676286,99.19033157,99.41366963， 99.56873896
99.68122405 99.86434085 99.93886517 99.98592267 99.99895618
0 13.96103106 28.91044539 43.21827297 55.60380457 65.56707672
73.47911752 79.47296755 83.87519276 87.18727142 89.64789772
91.47785689,92.90936128,95.67702506,97.26097381,98.86512577，
99.79579063,0.3232083127,9.730153549,18.07219246,27.12446726，
35.98788691,44.41521695,51.96255092,58.40744672,63.94025941，
68.53310823,72.25691906,75.35971576， 81.78318811，85.74014133，
90.29959282,93.32240733,0.57.00039229,79.19486901,89.94020448，
94.48189406,96.53547792,97.6846376,98.40076271,98.8676286，
99.19033157,99.41366963,99.56873896,99.68122405,99.86434085，
99.93886517，99.98592 267,99.99895618,0,13.96103106,28.91044539，
43.21827297,55.60380457,65.56707672,73.47911752,79.47296755，
83.87519276,87.18727142,89.64789772,91.47785689,92.90936128，
95.67702506,97.26097381,98.86512577,99.79579063， 0，3.232083127，
9.730153549,18.07219246,27.12446726,35.98788691,44.41521695，
51.96255092,58.40744672,63.94025941,68.53310823,72.25691906，
75.35971576,81.78318811,85.74014133,90.29959282,93.32240733，
0 57.00039229 79.19486901 89.94020448 94.48189406 96.53547792
97.6846376 98.40076271 98.8676286 99.19033157 99.41366963
99.56873896 99.68122405 99.86434085 99.93886517 99.98592267
99.99895618 0,13.96103106 $ 0.99998998 $ 0.00 $ 0.00 $ 0.00 $ 0.00 $ + 28.91044539,43.21827297,55.60380457，
65.56707672,73.47911752,79.47296755,83.87519276,87.18727142，
89.64789772,91.47785689,92.90936128,95.67702506,97.26097381，
98.86512577,99.79579063,0.3232083127,9.730153549,18.07219246，
27.12446726，3 5.98788691,44.41521695,51.96255092,58.40744672，
63.94025941,68.53310823,72.25691906,75.35971576,81.78318811，
85.74014133,90.29959282,93.32240733），时间= c（0,0.67,1.33，
2，2.67 ，3.33,4,4.67,5.33,6,6.67,7.33,8,10,12,16,24，
0，0.67,1.33,2,2.67,3.33,4,4.67,5.33,6,6.67 ，7.33,8，
10,12,16,24,0,0.67,1.33,2,2.67,3.33,4,4.67,5.33，
6,6.67,7.33,8,10,12 ，16,24,0,0.67,1.33,2,2.67,3.33，
4，4.67,5.33,6,6.67,7.33,8,10,12,16,24,0,0.67,1.33，
2，2.67,3.33,4,4.67,5.33,6,6.67,7.33,8,10,12,16,24，
0,0.67,1.33,2,2.67,3.33,4.4.67 ，5.33,6,6.67,7.33,8，
10,12,16,24,0,0.67,1.33,2,2.67,3.33,4,4.67,5.33，
6,6.67,7.33 ，8,10,12,16,24,0,0.67,1.33,2,2.67,3.33，
4，4.67,5.33,6,6.67,7.33,8,10,12,16,24,0 ，0.67,1.33，
2，2.67,3.33,4,4.67,5.33,6,6.67,7.33,8,10,12,16,24，
0，0.67,1.33,2.2.67 ，3.33,4,4.67,5 .33,6,6.67,7.33,8，
10,12,16,24,0,0.67,1.33,2,2.67,3.33,4,4.67,5.33，
6,6.67,7.33 ，8,10,12,16,24,0,0.67,1.33,2,2.67,3.33，
4，4.67,5.33,6,6.67,7.33,8,10,12,16,24,0 ，0.67,1.33，
2，2.67,3.33,4,4.67,5.33,6,6.67,7.33,8,10,12,16,24，
0，0.67,1.33,2.2.67 ，3.33,4,4.67,5.33,6,6.67,7.33,8，
10,12,16,24,0,0.67,1.33,2,2.67,3.34,4.67,5.33，
6,6.67,7.33,8,10,12,16,24,0,0.67,1.33,2,2.67,3.33，
4，4.67,5.36,6.67,7.33,8,10,12 ，16,24,0,0.67,1.33，
2，2.67,3.34,4.67,5.33,6,6.67,7.33,8,10,12,16,24，
0,0.67 ，1.33,2,2.67,3.33,4,4.67,5.33,6,6.67,7.33,8，
10,12,16,24,0,0.67,1.33,2,2.67,3.33,4.4.67 ，5.33，
6,6.67,7.33,8,10,12,16,24,0,0.67,1.33,2,2.67,3.33，
4，4.67,5.33,6,6.67,7.33 ，8,10,12,16,24,0,0.67,1.33，
2,2.67,3.33,4,4.67,5.33,6,6.67,7.33,8,10,12,16,24，... b $ b 0， 0.67,1.33,2,2.67,3.33,4,4.67,5.33,6,6.67,7.33,8，
10,12,16,24,0,0.67,1.33,2,2.67,3.33,4， 4.67,5.33，
6,6.67,7.33,8,10,12,16,24,0,0.67,1.33,2,2.67,3.33，
4，4.67,5.33,6,6.67,6.37,5.37， 7.33,8,10,12,16,24,0,0.67,1.33，
2，2.67,3.34,4.67,5.33,6,6.67,7.33,8,10,12,16，
0,0.67,1.33,2,2.67,3.33,4,4.67,5.36,6.67,7.33,8，
10,12,16,24,0,0.67,1.33,2， 2.67,3.33,4,4.67,5.33，
6,6.67,7.33,8,10,12,16,24,0,0.67,1.33,2,2.67,3.33，
4，4.67， 5.33,6,6.67,7.33,8,10,12,16,24,0,0.67,1.33，
2， 12,16,24，
0,0.67,1.33,2,2.67,3.33,4,4.67,5.36,6.67,7.33,8，
10,12,16,24），Fa .IVIVC =结构（c（3L，3L，3L，3L，3L，3L，
3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L ，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L，3L， ，3L，3L，3L，3L，3L， 3L，3L，3L，3L，3L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L， 2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L， 1L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L，2L， 10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L， 10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L，10L， 9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9B，9L，9L， 9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L，9L， 9L，
9L，9L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，
4L，4L，4L，4L， 4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L，4L， 4L，4L，4L，4L，4L，
4L，4L，4L，4L，4L，5L，5L，5L，5L，5L，5L，5L， 5L，5L，5L，5L，
5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L， 5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L，5L， 6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L， 6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L，6L， 6L，6L，6L，6L，6L，6L，6L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L， 8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L， 8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，8L，1L，1L， 1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L， 1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L，1L， 7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L， 7L，7L，7L，7L，7L，7L，$ b $ 7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L，7L， （DWeibull，Fa = Fd，Fa = m * Fd + c，
，polyx2，polyx3，powerlaw，Sigmoid，SWeibull， ，
的时标2）中，class = 因素），的Fab = C（26.93499216，74.71296886，
93.31647577，102.3232627，106.1301267，107.8514496，108.8146802，
109.4149394，109.8062684，110.0767594 ，110.2639624,110.3939422，
110.4882277,110.641717,110.7041836,110.7436274,110.7545521，
26.93499216,38.63718911,51.16785321,63.16073651,73.54234296，
81.89360101,88.52550802,93.54957918,97.23954349,100.0157422，
102.0782499,103.6121296,104.8120228,107.1318906,108.4595634
109.8041705,110.5842579,26.93499216,29.64413829,35.09084918
42.08318248 49.67083858 57.10019548 64.16402016,70.49022832
75.89236801 80.52999567 84.37974152 87.50105595 ，90.10183364，
95.4860161，98.80275149,102.6245036,105.1582398,0.57.00039 229
79.19486901 89.94020448 94.48189406 96.53547792 97.6846376
98.40076271 98.8676286 99.19033157 99.41366963 99.56873896
99.68122405 99.86434085 99.93886517 99.98592267 99.99895618
0， 13.96103106,28.91044539,43.21827297,55.60380457,65.56707672，
73.47911752,79.47296755,83.87519276,87.18727142,89.64789772，
91.47785689,92.90936128,95.67702506,97.26097381,98.86512577，
99.79579063,0.3232083127，9.730153549， 18.07219246,27.12446726
35.98788691 44.41521695 51.96255092 58.40744672 63.94025941
68.53310823 72.25691906 75.35971576 81.78318811 85.74014133
90.29959282 93.32240733 0 70.50447835 96.02300982 98.82243596
99.57985237 99.83224857 99.92919375 99.96848155 99.98519963
99.99288753 99.99648008 99.99819557 99.99906402 99.999853
99.99997375 99.99999889 100,02 21.86821136 62.64275076 83.43020069
91.61448073
91.61448073
91.61448073 95.12048033,97.01847895,98.14482018,9 8.82926092
99.26289099 99.5340886 99.70248132 99.81071816 99.9501482
99.9866099 99.99898898 99.99999343 0 6.376662203 33.21129772
57.71307085 72.54593643 80.44991197 85.11225796 88.14463787
90.18710253,91.58353207,92.48469374,93.03463954,93.36622665，
93.71057243,93.75808722,93.76330413,93.76332734,0.85.43897863，
96.41023147,98.60292696,99.38648274,99.70817136,99.85563995，
99.92570047，99.96014456，99.97824987， 99.98785551 99.99302561
99.9959588 99.99913591 99.99979511 99.99998555 99.99999987
0 35.93136721 64.82067498 81.32770255 89.33896526 93.27233957
95.52120571 96.93468939 97.86725864 98.51674213 98.96506419
99.27211617，99.48961576 99.82099549 99.93627731 99.99163908
99.99984083,0.13.56359537 35.26384187 54.5683418 67.93117043
76.17184672 81.40766037 84.89769958 87.36608189 89.23071681
90.61604011 91.61400422 $ 99.00 92.33688852,93.39590992， 93.68490622
93.76120164 93.7633271 -3.734858599 98.11558593 105.8100892
103.098802 100.6902735 99.35493052 98.54076048 98.00910082
97.65245063 97.40129654 97.22525874 97.10196412 97.01198065
96.86451038 ，96.80414422,96.76592267,96.75532221，-3.734858599，
32.13807789,62.69125386,84.32082969,97.03227093,103.2085292，
105.5413274,105.7928536,105.1453404,104.1935427,103.2281213，
102.3673602,101.6091192,99.93179657,98.84651217， 97.65438373
96.91985905 -3.734858599 5.20059021 22.01543783 41.35062939
59.46864426 74.32100644 85.7928042 93.87421248 99.13528256 $ b $ 102.4466828 104.3498116 105.3296581 105.760912 105.5409361
104.6584848 ，102.935546,101.3764816，-7.829154332,98.13891119，
102.6750962,101.2547046,100.2538484,99.75104793,99.45941539，
99.27457128,99.15293366,99.06837985,99.00964798,98.96877114，
98.93907126，98.89063804，98.87089782，98.85842466， 98.85496 882
-7.829154332 35.33293502 67.73270358 87.50585713 97.38254122
101.420433 102.6533246 102.6603132 102.2559064 101.7645809
101.3127228 100.9357618 100.6197217 99.96433979 99.56768877
99.15358796 ，98.90878113，-7.829154332，3.377571602,23.66261666，
45.57203407,64.53791341,78.75335477,88.72896415,95.08899477，
98.83482923,100.9657347,102.0648218,102.560815,102.732557，
102.4865711,101.9970047,101.1821951,100.5254111， 0，84.36578127，
96.62610582,101.8342357,103.9253297,104.8514595,105.3646665，
105.6826915,105.8892912,106.0317605,106.1302021,106.1984762，
106.2479622,106.3284514,106.3611838,106.3818449,106.3875664，
0,47.21500715,63.75590158,75.26043311,83.50667334,89.38324247，
93.68522412,96.76596308,98.94262678,100.536392,101.6975478，
102.549008,103.2081215,104.465734,105.1758759,105.8881852，
106.2983302,0.25.8163831， 40.68030992,52.52070119,62.1003208 1
69.78465323 76.11355987 81.20537082 85.21891334 88.46143461
91.02992379 93.03909356 94.66721252 97.91683115 99.84448999 $ b $ 102.001935 103.3971916 0 99.56457982 99.99802545 99.99992484
99.9999834,99.99999182,99.99999453,99.99999576,99.99999641，
99.9999968,99.99999704,99.9999972,99.99999732,99.99999749，
99.99999755,99.99999759,99.99999761,0.19.11114181,71.01341084，
95.06173422，99.42484828，99.93262192， 99.99056197，99.99817581，
99.99949882,99.99981915,99.99991739,99.99995454,99.99997175，
99.99998898,99.99999365,99.9999964,99.99999742,0.0,7.282480451，
33.63646335,65.74582364,86.70632144,95.8867423,98.85159499，
99.67345715，99.90193231，99.96686136，99.98701824，99.9942833，
99.99906565，99.99971627，99.99993312，99.99997541，0，99.886109，
100.1504034，100.1506771，100.15068，100.1506803，100.1506803，
100.1506804， 100.1506804,100.1506804,100.1506804,100.1506804，
100.1506804，100.1506804，100.1506804，100.1506804，100.1506804，
0，19.5867998，70.37010127，95.67671894，99.78107909，100.1240798，
100.1485194，100.1504311，100.1506363，100.1506694，100.1506767，
100.1506788， 100.1506796,100.1506802,100.1506803,100.1506804，
100.1506804,0,0.235243688,8.697988318,33.12947181,64.90643719，
86.93825543,96.50612289,99.31146174,99.9638777,100.1081475，
100.1398273,100.1474151,100.149556,100.1505783,100.14508803， 100.15066，
100.1506776,100.1506797,0,98.42377658,99.7202431,99.85721623，
99.88997474,99.90180755,99.90776818,99.91126546,99.9134607，
99.91494041,99.91594691,99.91663742,99.9171341,99.91793515，
99.91825853，99.91846194，99.91851817，0，3.497315952，63.14218992，
93.51151385，98.20640473，99.24296724，99.58454984，99.72537567，
99.79345734，99.83170076，99.8547364，99.8694627，99.87975728，
99.89705477，99.90562207，99.91344911， 99.91763636,0,0.001560482，
0.532489605,12.45115995,54.99690953,84.53081847,94.33616843
97.45209375 98.61212509 99.13613618 99.40017939 99.54612357
99.63641308 99.76395907 99.81612695 99.8601966 99.88254639
）），.Names = c（Form，invivo，invitro，Time，Fa.IVIVC，
Fabs），class =data.frame，row.names = c（NA， -510L））
解决方案
c $ c> dplyr :: mutate（）添加突出显示列到 geom_line（ ），那么我使用 scale_size_manual（）来指定 TRUE 的宽度或突出显示列中的 FALSE 。最后， guides（）用于隐藏图例以符合尺寸审美。
df< - dget（〜/ Desktop / data.txt）
library（ggplot2）
library （dplyr）
line_data< - subset（df，Form == 3&`Fa.IVIVC`！=Sigmoid&`FaIVIVC`！=DWeibull）％> ;％
mutate（Highlight = Fa.IVIVC ==Fa = Fd| Fa.IVIVC ==powerlaw）
head（line_data）
＃> Form invivo invitro Time Fa.IVIVC Fabs Highlight
＃> 1 3 0.000000 0.000000 0.00 Fa = m * Fd + c 26.93499 FALSE
＃> 2 3 2.069876 3.232083 0.67 Fa = m * Fd + c 29.64414 FALSE
＃> 3 3 6.072987 9.730154 1.33 Fa = m * Fd + c 35.09085 FALSE
＃> 4 3 43.354980 18.072192 2.00 Fa = m * Fd + c 42.08318 FALSE
＃> 5 3 96.603445 27.124467 2.67 Fa = m * Fd + c 49.67084 FALSE
＃> 6 3 99.999809 35.987887 3.33 Fa = m * Fd + c 57.10020 FALSE
ggplot（）+
geom_point（data = df，aes（
x = invitro，
y =
color = factor（Form，labels = c（Fast，Medium，Slow））
））+
geom_line（
data = line_data，
aes（x = invitro，y = Fabs，linetype =`Fa.IVIVC`，size = Highlight）
）+
labs（title =Plot，color =Formulation） +
scale_x_continuous（limits = c（0，100））+
scale_y_continuous（limits = c（0，100））+
guides（size = FALSE）+
scale_size_manual values = c（TRUE= 2，FALSE= 0.5））+
主题（
panel.grid.major = element_blank（），panel.grid.minor = element_blank（），
panel.background = element_blank（），axis.line = element_line（color =black）
）
您也可以使用dplyr::filter() instead of subset() for setting line_data if you wished i.e.
line_data <- df %>%
filter(Form == 3, Fa.IVIVC != ’Sigmoid’, Fa.IVIVC != ’DWeibull’) %>%
mutate(Highlight = Fa.IVIVC == \"Fa = Fd\" | Fa.IVIVC == \"powerlaw\")
I have the following data file structure:
Form invivo invitro Time Fa.IVIVC Fabs
1 1 0.00000 0.00000 0.00 Fa = m*Fd + c 26.93499
2 1 99.99999 57.00039 0.67 Fa = m*Fd + c 74.71297
3 1 100.00000 79.19487 1.33 Fa = m*Fd + c 93.31648
4 1 100.00000 89.94020 2.00 Fa = m*Fd + c 102.32326
5 1 100.00000 94.48189 2.67 Fa = m*Fd + c 106.13013
6 1 100.00000 96.53548 3.33 Fa = m*Fd + c 107.85145
I have pasted the entire data frame at the end of this question using dput() so that you can reproduce my example. My example assumes you assign the dput output to the object df.
I want to plot column "invivo" as Y-axis against "invitro" as the X-axis by means of points colored by column "Form" to which I assign appropriate labels in the gpplot2 call (see below). I then overlay on this plot a series of lines specified by a subset of column "Fabs" against "invitro" with linetype determined by column "Fa.IVIVC". Here are the commands I used to create the plot followed by the result:
library(ggplot2)
> ggplot() + geom_point(data = df, aes(x = invitro, y = invivo,
+ colour = factor(Form, labels = c("Fast", "Medium", "Slow")))) +
+ geom_line(data = subset(df, Form == 3 & `Fa.IVIVC` != "Sigmoid" &
+ `Fa.IVIVC` != "DWeibull"), aes(x = invitro, y = Fabs, linetype = `Fa.IVIVC`)) +
+ labs(title = "Plot", colour = "Formulation") +
+ scale_x_continuous(limits = c(0, 100)) + scale_y_continuous(limits = c(0, 100)) +
+ theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
+ panel.background = element_blank(), axis.line = element_line(colour = "black"))
Can someone tell me how to manually change the line width of two (out of eight) of the lines in order to make them stand out more? Thank you.
> dput(df)
structure(list(Form = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L), invivo = c(0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 0, 99.99998579, 100, 100, 100, 100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 0, 13.0348383,
23.19770255, 95.89812941, 99.94931988, 99.99614995, 99.99979491,
99.99999186, 99.99999974, 99.99999999, 100, 100, 100, 100, 100,
100, 100, 0, 2.069875621, 6.072987344, 43.35498005, 96.60344484,
99.99980946, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989, 99.99994989, 99.99994989, 99.99994989,
99.99994989, 99.99994989), invitro = c(0, 57.00039229, 79.19486901,
89.94020448, 94.48189406, 96.53547792, 97.6846376, 98.40076271,
98.8676286, 99.19033157, 99.41366963, 99.56873896, 99.68122405,
99.86434085, 99.93886517, 99.98592267, 99.99895618, 0, 13.96103106,
28.91044539, 43.21827297, 55.60380457, 65.56707672, 73.47911752,
79.47296755, 83.87519276, 87.18727142, 89.64789772, 91.47785689,
92.90936128, 95.67702506, 97.26097381, 98.86512577, 99.79579063,
0, 3.232083127, 9.730153549, 18.07219246, 27.12446726, 35.98788691,
44.41521695, 51.96255092, 58.40744672, 63.94025941, 68.53310823,
72.25691906, 75.35971576, 81.78318811, 85.74014133, 90.29959282,
93.32240733, 0, 57.00039229, 79.19486901, 89.94020448, 94.48189406,
96.53547792, 97.6846376, 98.40076271, 98.8676286, 99.19033157,
99.41366963, 99.56873896, 99.68122405, 99.86434085, 99.93886517,
99.98592267, 99.99895618, 0, 13.96103106, 28.91044539, 43.21827297,
55.60380457, 65.56707672, 73.47911752, 79.47296755, 83.87519276,
87.18727142, 89.64789772, 91.47785689, 92.90936128, 95.67702506,
97.26097381, 98.86512577, 99.79579063, 0, 3.232083127, 9.730153549,
18.07219246, 27.12446726, 35.98788691, 44.41521695, 51.96255092,
58.40744672, 63.94025941, 68.53310823, 72.25691906, 75.35971576,
81.78318811, 85.74014133, 90.29959282, 93.32240733, 0, 57.00039229,
79.19486901, 89.94020448, 94.48189406, 96.53547792, 97.6846376,
98.40076271, 98.8676286, 99.19033157, 99.41366963, 99.56873896,
99.68122405, 99.86434085, 99.93886517, 99.98592267, 99.99895618,
0, 13.96103106, 28.91044539, 43.21827297, 55.60380457, 65.56707672,
73.47911752, 79.47296755, 83.87519276, 87.18727142, 89.64789772,
91.47785689, 92.90936128, 95.67702506, 97.26097381, 98.86512577,
99.79579063, 0, 3.232083127, 9.730153549, 18.07219246, 27.12446726,
35.98788691, 44.41521695, 51.96255092, 58.40744672, 63.94025941,
68.53310823, 72.25691906, 75.35971576, 81.78318811, 85.74014133,
90.29959282, 93.32240733, 0, 57.00039229, 79.19486901, 89.94020448,
94.48189406, 96.53547792, 97.6846376, 98.40076271, 98.8676286,
99.19033157, 99.41366963, 99.56873896, 99.68122405, 99.86434085,
99.93886517, 99.98592267, 99.99895618, 0, 13.96103106, 28.91044539,
43.21827297, 55.60380457, 65.56707672, 73.47911752, 79.47296755,
83.87519276, 87.18727142, 89.64789772, 91.47785689, 92.90936128,
95.67702506, 97.26097381, 98.86512577, 99.79579063, 0, 3.232083127,
9.730153549, 18.07219246, 27.12446726, 35.98788691, 44.41521695,
51.96255092, 58.40744672, 63.94025941, 68.53310823, 72.25691906,
75.35971576, 81.78318811, 85.74014133, 90.29959282, 93.32240733,
0, 57.00039229, 79.19486901, 89.94020448, 94.48189406, 96.53547792,
97.6846376, 98.40076271, 98.8676286, 99.19033157, 99.41366963,
99.56873896, 99.68122405, 99.86434085, 99.93886517, 99.98592267,
99.99895618, 0, 13.96103106, 28.91044539, 43.21827297, 55.60380457,
65.56707672, 73.47911752, 79.47296755, 83.87519276, 87.18727142,
89.64789772, 91.47785689, 92.90936128, 95.67702506, 97.26097381,
98.86512577, 99.79579063, 0, 3.232083127, 9.730153549, 18.07219246,
27.12446726, 35.98788691, 44.41521695, 51.96255092, 58.40744672,
63.94025941, 68.53310823, 72.25691906, 75.35971576, 81.78318811,
85.74014133, 90.29959282, 93.32240733, 0, 57.00039229, 79.19486901,
89.94020448, 94.48189406, 96.53547792, 97.6846376, 98.40076271,
98.8676286, 99.19033157, 99.41366963, 99.56873896, 99.68122405,
99.86434085, 99.93886517, 99.98592267, 99.99895618, 0, 13.96103106,
28.91044539, 43.21827297, 55.60380457, 65.56707672, 73.47911752,
79.47296755, 83.87519276, 87.18727142, 89.64789772, 91.47785689,
92.90936128, 95.67702506, 97.26097381, 98.86512577, 99.79579063,
0, 3.232083127, 9.730153549, 18.07219246, 27.12446726, 35.98788691,
44.41521695, 51.96255092, 58.40744672, 63.94025941, 68.53310823,
72.25691906, 75.35971576, 81.78318811, 85.74014133, 90.29959282,
93.32240733, 0, 57.00039229, 79.19486901, 89.94020448, 94.48189406,
96.53547792, 97.6846376, 98.40076271, 98.8676286, 99.19033157,
99.41366963, 99.56873896, 99.68122405, 99.86434085, 99.93886517,
99.98592267, 99.99895618, 0, 13.96103106, 28.91044539, 43.21827297,
55.60380457, 65.56707672, 73.47911752, 79.47296755, 83.87519276,
87.18727142, 89.64789772, 91.47785689, 92.90936128, 95.67702506,
97.26097381, 98.86512577, 99.79579063, 0, 3.232083127, 9.730153549,
18.07219246, 27.12446726, 35.98788691, 44.41521695, 51.96255092,
58.40744672, 63.94025941, 68.53310823, 72.25691906, 75.35971576,
81.78318811, 85.74014133, 90.29959282, 93.32240733, 0, 57.00039229,
79.19486901, 89.94020448, 94.48189406, 96.53547792, 97.6846376,
98.40076271, 98.8676286, 99.19033157, 99.41366963, 99.56873896,
99.68122405, 99.86434085, 99.93886517, 99.98592267, 99.99895618,
0, 13.96103106, 28.91044539, 43.21827297, 55.60380457, 65.56707672,
73.47911752, 79.47296755, 83.87519276, 87.18727142, 89.64789772,
91.47785689, 92.90936128, 95.67702506, 97.26097381, 98.86512577,
99.79579063, 0, 3.232083127, 9.730153549, 18.07219246, 27.12446726,
35.98788691, 44.41521695, 51.96255092, 58.40744672, 63.94025941,
68.53310823, 72.25691906, 75.35971576, 81.78318811, 85.74014133,
90.29959282, 93.32240733, 0, 57.00039229, 79.19486901, 89.94020448,
94.48189406, 96.53547792, 97.6846376, 98.40076271, 98.8676286,
99.19033157, 99.41366963, 99.56873896, 99.68122405, 99.86434085,
99.93886517, 99.98592267, 99.99895618, 0, 13.96103106, 28.91044539,
43.21827297, 55.60380457, 65.56707672, 73.47911752, 79.47296755,
83.87519276, 87.18727142, 89.64789772, 91.47785689, 92.90936128,
95.67702506, 97.26097381, 98.86512577, 99.79579063, 0, 3.232083127,
9.730153549, 18.07219246, 27.12446726, 35.98788691, 44.41521695,
51.96255092, 58.40744672, 63.94025941, 68.53310823, 72.25691906,
75.35971576, 81.78318811, 85.74014133, 90.29959282, 93.32240733,
0, 57.00039229, 79.19486901, 89.94020448, 94.48189406, 96.53547792,
97.6846376, 98.40076271, 98.8676286, 99.19033157, 99.41366963,
99.56873896, 99.68122405, 99.86434085, 99.93886517, 99.98592267,
99.99895618, 0, 13.96103106, 28.91044539, 43.21827297, 55.60380457,
65.56707672, 73.47911752, 79.47296755, 83.87519276, 87.18727142,
89.64789772, 91.47785689, 92.90936128, 95.67702506, 97.26097381,
98.86512577, 99.79579063, 0, 3.232083127, 9.730153549, 18.07219246,
27.12446726, 35.98788691, 44.41521695, 51.96255092, 58.40744672,
63.94025941, 68.53310823, 72.25691906, 75.35971576, 81.78318811,
85.74014133, 90.29959282, 93.32240733), Time = c(0, 0.67, 1.33,
2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24,
0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8,
10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33,
6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33,
4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33,
2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24,
0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8,
10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33,
6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33,
4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33,
2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24,
0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8,
10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33,
6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33,
4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33,
2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24,
0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8,
10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33,
6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33,
4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33,
2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24,
0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8,
10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33,
6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33,
4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33,
2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24,
0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8,
10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33,
6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33,
4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33,
2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24,
0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8,
10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33,
6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33, 2, 2.67, 3.33,
4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24, 0, 0.67, 1.33,
2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8, 10, 12, 16, 24,
0, 0.67, 1.33, 2, 2.67, 3.33, 4, 4.67, 5.33, 6, 6.67, 7.33, 8,
10, 12, 16, 24), Fa.IVIVC = structure(c(3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L), .Label = c("DWeibull", "Fa = Fd", "Fa = m*Fd + c",
"polyx2", "polyx3", "powerlaw", "Sigmoid", "SWeibull", "Time scale 1",
"Time scale 2"), class = "factor"), Fabs = c(26.93499216, 74.71296886,
93.31647577, 102.3232627, 106.1301267, 107.8514496, 108.8146802,
109.4149394, 109.8062684, 110.0767594, 110.2639624, 110.3939422,
110.4882277, 110.641717, 110.7041836, 110.7436274, 110.7545521,
26.93499216, 38.63718911, 51.16785321, 63.16073651, 73.54234296,
81.89360101, 88.52550802, 93.54957918, 97.23954349, 100.0157422,
102.0782499, 103.6121296, 104.8120228, 107.1318906, 108.4595634,
109.8041705, 110.5842579, 26.93499216, 29.64413829, 35.09084918,
42.08318248, 49.67083858, 57.10019548, 64.16402016, 70.49022832,
75.89236801, 80.52999567, 84.37974152, 87.50105595, 90.10183364,
95.4860161, 98.80275149, 102.6245036, 105.1582398, 0, 57.00039229,
79.19486901, 89.94020448, 94.48189406, 96.53547792, 97.6846376,
98.40076271, 98.8676286, 99.19033157, 99.41366963, 99.56873896,
99.68122405, 99.86434085, 99.93886517, 99.98592267, 99.99895618,
0, 13.96103106, 28.91044539, 43.21827297, 55.60380457, 65.56707672,
73.47911752, 79.47296755, 83.87519276, 87.18727142, 89.64789772,
91.47785689, 92.90936128, 95.67702506, 97.26097381, 98.86512577,
99.79579063, 0, 3.232083127, 9.730153549, 18.07219246, 27.12446726,
35.98788691, 44.41521695, 51.96255092, 58.40744672, 63.94025941,
68.53310823, 72.25691906, 75.35971576, 81.78318811, 85.74014133,
90.29959282, 93.32240733, 0, 70.50447835, 96.02300982, 98.82243596,
99.57985237, 99.83224857, 99.92919375, 99.96848155, 99.98519963,
99.99288753, 99.99648008, 99.99819557, 99.99906402, 99.999853,
99.99997375, 99.99999889, 100, 0, 21.86821136, 62.64275076, 83.43020069,
91.61448073, 95.12048033, 97.01847895, 98.14482018, 98.82926092,
99.26289099, 99.5340886, 99.70248132, 99.81071816, 99.9501482,
99.9866099, 99.99898898, 99.99999343, 0, 6.376662203, 33.21129772,
57.71307085, 72.54593643, 80.44991197, 85.11225796, 88.14463787,
90.18710253, 91.58353207, 92.48469374, 93.03463954, 93.36622665,
93.71057243, 93.75808722, 93.76330413, 93.76332734, 0, 85.43897863,
96.41023147, 98.60292696, 99.38648274, 99.70817136, 99.85563995,
99.92570047, 99.96014456, 99.97824987, 99.98785551, 99.99302561,
99.9959588, 99.99913591, 99.99979511, 99.99998555, 99.99999987,
0, 35.93136721, 64.82067498, 81.32770255, 89.33896526, 93.27233957,
95.52120571, 96.93468939, 97.86725864, 98.51674213, 98.96506419,
99.27211617, 99.48961576, 99.82099549, 99.93627731, 99.99163908,
99.99984083, 0, 13.56359537, 35.26384187, 54.5683418, 67.93117043,
76.17184672, 81.40766037, 84.89769958, 87.36608189, 89.23071681,
90.61604011, 91.61400422, 92.33688852, 93.39590992, 93.68490622,
93.76120164, 93.7633271, -3.734858599, 98.11558593, 105.8100892,
103.098802, 100.6902735, 99.35493052, 98.54076048, 98.00910082,
97.65245063, 97.40129654, 97.22525874, 97.10196412, 97.01198065,
96.86451038, 96.80414422, 96.76592267, 96.75532221, -3.734858599,
32.13807789, 62.69125386, 84.32082969, 97.03227093, 103.2085292,
105.5413274, 105.7928536, 105.1453404, 104.1935427, 103.2281213,
102.3673602, 101.6091192, 99.93179657, 98.84651217, 97.65438373,
96.91985905, -3.734858599, 5.20059021, 22.01543783, 41.35062939,
59.46864426, 74.32100644, 85.7928042, 93.87421248, 99.13528256,
102.4466828, 104.3498116, 105.3296581, 105.760912, 105.5409361,
104.6584848, 102.935546, 101.3764816, -7.829154332, 98.13891119,
102.6750962, 101.2547046, 100.2538484, 99.75104793, 99.45941539,
99.27457128, 99.15293366, 99.06837985, 99.00964798, 98.96877114,
98.93907126, 98.89063804, 98.87089782, 98.85842466, 98.85496882,
-7.829154332, 35.33293502, 67.73270358, 87.50585713, 97.38254122,
101.420433, 102.6533246, 102.6603132, 102.2559064, 101.7645809,
101.3127228, 100.9357618, 100.6197217, 99.96433979, 99.56768877,
99.15358796, 98.90878113, -7.829154332, 3.377571602, 23.66261666,
45.57203407, 64.53791341, 78.75335477, 88.72896415, 95.08899477,
98.83482923, 100.9657347, 102.0648218, 102.560815, 102.732557,
102.4865711, 101.9970047, 101.1821951, 100.5254111, 0, 84.36578127,
96.62610582, 101.8342357, 103.9253297, 104.8514595, 105.3646665,
105.6826915, 105.8892912, 106.0317605, 106.1302021, 106.1984762,
106.2479622, 106.3284514, 106.3611838, 106.3818449, 106.3875664,
0, 47.21500715, 63.75590158, 75.26043311, 83.50667334, 89.38324247,
93.68522412, 96.76596308, 98.94262678, 100.536392, 101.6975478,
102.549008, 103.2081215, 104.465734, 105.1758759, 105.8881852,
106.2983302, 0, 25.8163831, 40.68030992, 52.52070119, 62.10032081,
69.78465323, 76.11355987, 81.20537082, 85.21891334, 88.46143461,
91.02992379, 93.03909356, 94.66721252, 97.91683115, 99.84448999,
102.001935, 103.3971916, 0, 99.56457982, 99.99802545, 99.99992484,
99.9999834, 99.99999182, 99.99999453, 99.99999576, 99.99999641,
99.9999968, 99.99999704, 99.9999972, 99.99999732, 99.99999749,
99.99999755, 99.99999759, 99.99999761, 0, 19.11114181, 71.01341084,
95.06173422, 99.42484828, 99.93262192, 99.99056197, 99.99817581,
99.99949882, 99.99981915, 99.99991739, 99.99995454, 99.99997175,
99.99998898, 99.99999365, 99.9999964, 99.99999742, 0, 0, 7.282480451,
33.63646335, 65.74582364, 86.70632144, 95.8867423, 98.85159499,
99.67345715, 99.90193231, 99.96686136, 99.98701824, 99.9942833,
99.99906565, 99.99971627, 99.99993312, 99.99997541, 0, 99.886109,
100.1504034, 100.1506771, 100.15068, 100.1506803, 100.1506803,
100.1506804, 100.1506804, 100.1506804, 100.1506804, 100.1506804,
100.1506804, 100.1506804, 100.1506804, 100.1506804, 100.1506804,
0, 19.5867998, 70.37010127, 95.67671894, 99.78107909, 100.1240798,
100.1485194, 100.1504311, 100.1506363, 100.1506694, 100.1506767,
100.1506788, 100.1506796, 100.1506802, 100.1506803, 100.1506804,
100.1506804, 0, 0.235243688, 8.697988318, 33.12947181, 64.90643719,
86.93825543, 96.50612289, 99.31146174, 99.9638777, 100.1081475,
100.1398273, 100.1474151, 100.149556, 100.1505783, 100.15066,
100.1506776, 100.1506797, 0, 98.42377658, 99.7202431, 99.85721623,
99.88997474, 99.90180755, 99.90776818, 99.91126546, 99.9134607,
99.91494041, 99.91594691, 99.91663742, 99.9171341, 99.91793515,
99.91825853, 99.91846194, 99.91851817, 0, 3.497315952, 63.14218992,
93.51151385, 98.20640473, 99.24296724, 99.58454984, 99.72537567,
99.79345734, 99.83170076, 99.8547364, 99.8694627, 99.87975728,
99.89705477, 99.90562207, 99.91344911, 99.91763636, 0, 0.001560482,
0.532489605, 12.45115995, 54.99690953, 84.53081847, 94.33616843,
97.45209375, 98.61212509, 99.13613618, 99.40017939, 99.54612357,
99.63641308, 99.76395907, 99.81612695, 99.8601966, 99.88254639
)), .Names = c("Form", "invivo", "invitro", "Time", "Fa.IVIVC",
"Fabs"), class = "data.frame", row.names = c(NA, -510L))
解决方案
Below I've used dplyr::mutate() to add a Highlight column to the data you were using for geom_line(), then I've used scale_size_manual() to specify the width for TRUE or FALSE in the Highlight column. Finally guides() is used to hide the legend for the size aesthetic.
df <- dget("~/Desktop/data.txt")
library(ggplot2)
library(dplyr)
line_data <- subset(df, Form == 3 & `Fa.IVIVC` != "Sigmoid" & `Fa.IVIVC` != "DWeibull") %>%
mutate(Highlight = Fa.IVIVC == "Fa = Fd" | Fa.IVIVC == "powerlaw")
head(line_data)
#> Form invivo invitro Time Fa.IVIVC Fabs Highlight
#> 1 3 0.000000 0.000000 0.00 Fa = m*Fd + c 26.93499 FALSE
#> 2 3 2.069876 3.232083 0.67 Fa = m*Fd + c 29.64414 FALSE
#> 3 3 6.072987 9.730154 1.33 Fa = m*Fd + c 35.09085 FALSE
#> 4 3 43.354980 18.072192 2.00 Fa = m*Fd + c 42.08318 FALSE
#> 5 3 96.603445 27.124467 2.67 Fa = m*Fd + c 49.67084 FALSE
#> 6 3 99.999809 35.987887 3.33 Fa = m*Fd + c 57.10020 FALSE
ggplot() +
geom_point(data = df, aes(
x = invitro,
y = invivo,
colour = factor(Form, labels = c("Fast", "Medium", "Slow"))
)) +
geom_line(
data = line_data,
aes(x = invitro, y = Fabs, linetype = `Fa.IVIVC`, size = Highlight)
) +
labs(title = "Plot", colour = "Formulation") +
scale_x_continuous(limits = c(0, 100)) +
scale_y_continuous(limits = c(0, 100)) +
guides(size = FALSE) +
scale_size_manual(values = c("TRUE" = 2, "FALSE" = 0.5)) +
theme(
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(), axis.line = element_line(colour = "black")
)
You could also use dplyr::filter() instead of subset() for setting line_data if you wished i.e.
line_data <- df %>%
filter(Form == 3, Fa.IVIVC != 'Sigmoid', Fa.IVIVC != 'DWeibull') %>%
mutate(Highlight = Fa.IVIVC == "Fa = Fd" | Fa.IVIVC == "powerlaw")
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