ggplot图例 - scale_colour_manual无效

时间:2015-11-14 00:35:29

标签: r ggplot2 legend manual

我正在尝试为我的图表添加一个图例,但什么都没有显示出来。这是我的代码:

ggplot(main, aes(x = ceiling(session/2))) + 
geom_line(aes(y = C_overall), colour = "blue", stat = "summary", fun.y = "mean") +
geom_line(aes(y = I_overall), colour = "red", stat = "summary", fun.y = "mean") +
labs(title = 'Overall Accuracy', x = 'Session', y = 'Percent Accurate') +
facet_wrap(~bird)

这显示了我想要的东西,除了没有传说。我见过的所有东西都说像这样使用scale_colour_manual:

ggplot(main, aes(x = ceiling(session/2))) + 
geom_line(aes(y = C_overall), colour = "one", stat = "summary", fun.y = "mean") +
geom_line(aes(y = I_overall), colour = "two", stat = "summary", fun.y = "mean") +
labs(title = 'Overall Accuracy', x = 'Session', y = 'Percent Accurate') +
facet_wrap(~bird) +
scale_colour_manual(name = 'Congruency', values = c("one" = "blue", "two" = "red"))

这似乎适用于其他所有人,但R只是告诉我'一个'是无效的颜色名称。 我已经花了好几个小时研究这个问题,而且我已经无处可去了。

以下是我的一些数据,如果它有用:

bird   session  C_overall   I_overall
23W     1       42.5        42.5
23W     2       46.25       47.5
23W     3       51.25       57.5
23W     4       47.5        52.5
23W     5       47.5        52.5
23W     6       47.5        62.5
23W     7       52.5        52.5
23W     8       50          55
23W     9       51.25       52.5
23W     10      48.75       47.5
43R     1       47.5        42.5
43R     2       43.75       37.5
43R     3       58.75       40
43R     4       51.25       40
43R     5       51.25       52.5
43R     6       36.25       35
43R     7       53.75       40
43R     8       57.5        45
43R     9       61.25       52.5
43R     10      48.75       47.5
57Y     1       45          67.5
57Y     2       53.75       62.5
57Y     3       47.5        65
57Y     4       52.5        52.5
57Y     5       47.5        50
57Y     6       48.75       70
57Y     7       66.25       72.5
57Y     8       55          60
57Y     9       57.5        72.5
57Y     10      58.75       67.5
76B     1       51.25       50
76B     2       56.25       42.5
76B     3       60          60
76B     4       68.75       70
76B     5       73.75       75
76B     6       55          52.5
76B     7       68.75       62.5
76B     8       40          40
76B     9       57.5        55
76B     10      66.25       70

蓝线应为“Congruent”,红线应为“Incongruent”。

任何关于如何制作传奇的帮助都将不胜感激! 在此先感谢!!

2 个答案:

答案 0 :(得分:3)

我会在绘图前将数据转换为长格式:

library(reshape2)

main <- melt(main, c("bird", "session"))

ggplot(main, aes(x=ceiling(session/2), y=value, color=variable)) + 
  geom_line(stat="summary", fun.y="mean", size=1) +
  labs(title="Overall Accuracy", x="Session", y="Percent Accurate") +
  facet_wrap(~ bird) +
  scale_color_discrete("Results", labels=c("Congruent", "Incongruent"))

enter image description here

这会对你有用吗?

答案 1 :(得分:1)

geom_linescale_color_discrete进行以下更改,您就可以了。

ggplot(main, aes(x = ceiling(session/2))) + 
## changes in line below
geom_line(aes(y = C_overall, colour = "Congruent"), stat = "summary", fun.y = "mean") +
## changes in line below
geom_line(aes(y = I_overall, colour = "Incongruent"), stat = "summary", fun.y = "mean") +
labs(title = 'Overall Accuracy', x = 'Session', y = 'Percent Accurate') +
facet_wrap(~bird) +
# changes in line below
scale_color_discrete("Congruency")

enter image description here