I have a dataset that looks like this:
case prop weight res
1 A 10 0.1 0.81
2 A 20 0.2 0.78
3 A 30 0.3 0.76
4 A 40 0.4 0.58
5 A 50 0.1 0.62
6 A 10 0.2 0.73
7 A 20 0.3 0.68
8 A 30 0.4 0.70
9 A 40 0.1 0.55
10 A 50 0.2 0.78
11 A 10 0.3 0.64
12 A 20 0.4 0.68
13 A 30 0.1 0.75
14 A 40 0.2 0.67
15 A 50 0.3 0.59
16 A 10 0.4 0.77
17 A 20 0.1 0.57
18 A 30 0.2 0.61
19 A 40 0.3 0.60
20 A 50 0.4 0.72
21 B 10 0.1 0.66
22 B 20 0.2 0.66
23 B 30 0.3 0.76
24 B 40 0.4 0.57
25 B 50 0.1 0.83
26 B 10 0.2 0.68
27 B 20 0.3 0.76
28 B 30 0.4 0.65
29 B 40 0.1 0.70
30 B 50 0.2 0.72
31 B 10 0.3 0.60
32 B 20 0.4 0.82
33 B 30 0.1 0.85
34 B 40 0.2 0.72
35 B 50 0.3 0.74
36 B 10 0.4 0.67
37 B 20 0.1 0.60
38 B 30 0.2 0.62
39 B 40 0.3 0.76
40 B 50 0.4 0.87
41 C 10 0.1 0.48
42 C 20 0.2 0.77
43 C 30 0.3 0.70
44 C 40 0.4 0.65
45 C 50 0.1 0.73
46 C 10 0.2 0.70
47 C 20 0.3 0.80
48 C 30 0.4 0.68
49 C 40 0.1 0.58
50 C 50 0.2 0.63
51 C 10 0.3 0.71
52 C 20 0.4 0.68
53 C 30 0.1 0.84
54 C 40 0.2 0.66
55 C 50 0.3 0.77
56 C 10 0.4 0.67
57 C 20 0.1 0.64
58 C 30 0.2 0.74
59 C 40 0.3 0.81
60 C 50 0.4 0.62
The data can be generated by the codes below:
case = rep(c("A", "B", "C"), each=20)
prop = rep(c("10", "20", "30", "40", "50"), 12)
weight = as.factor(rep(c(0.1, 0.2, 0.3, 0.4), 15))
res = round(rnorm(n=60, 0.7, 0.1), 2)
dat = data.frame(case, prop, weight, res)
dat
What I want to achieve is to have "prop" as x-axis, and "res" as y-axis, while using different colors to distinguish "case" and using different linetypes to distinguish "weight". For example, if weight=0.1, then use solid line; if weight=0.2, use dashed line, etc. From the codes below:
ggplot(data = dat, aes(x=prop, y=res, group=case, color=case)) +
geom_line() +
geom_point() +
theme_bw()
I can only get the following plot which is not desired...
I tried to add geom_line(aes(linetype=weight)), but an error shows
Error: geom_path: If you are using dotted or dashed lines, colour, size and linetype must be constant over the line
Is there a way to map "weight" to the linetype in ggplot2? Thank you!