我有两个问题:
- 如何在geom_text中使用与geom_point相同的颜色?
- 如何删除图例标题?
假设以下数据集:
library(ggplot2)
library(reshape2)
speed <- c(0, seq(from = 30, to = 330, by = 60))
power1 <- c(75, 85, 88, 85, 94, 92, 95)
power2 <- c(72, 82, 78, 69, 74, 85, 89)
dt <- data.frame(speed=speed, power1=power1, power2=power2)
dt <- melt(data = dt, id.vars = c("speed"))
我使用以下代码制作情节:
p <- ggplot(data = dt, aes(x = speed, y = value, fill = variable)) +
geom_point(aes(color=variable), size = 2) +
stat_smooth(aes(color=variable), method = lm, formula = y ~ poly(x, 2), se = FALSE, size = 1)
p <- p + geom_text(aes(x = 100,
y = 93,
label = lm_eqn(lm(formula = value ~ poly(speed,2),
data = subset(x = dt, subset = variable == "power1")
)
)
),
color = "black",
parse = TRUE) +
geom_text(aes(x = 250,
y = 72,
label = lm_eqn(lm(formula = value ~ poly(speed,2),
data = subset(x = dt, subset = variable == "power2")
)
)
),
color = "black",
parse = TRUE)
p
标签的帮助功能:
lm_eqn = function(m) {
# from:
# https://stackoverflow.com/questions/7549694/ggplot2-adding-regression-line-equation-and-r2-on-graph
l <- list(a = format(coef(m)[1], digits = 2),
b = format(abs(coef(m)[2]), digits = 2),
c = format(abs(coef(m)[3]), digits = 2),
s1 = ifelse(test = coef(m)[2]>0, yes = "+", no = "-"),
s2 = ifelse(test = coef(m)[3]>0, yes = "+", no = "-"),
r2 = format(summary(m)$r.squared, digits = 3));
eq <- substitute(italic(y) == a~~s1~~b %.% italic(x)^2 ~~s2~~c%.% italic(x)*","~~italic(r)^2~"="~r2,l)
as.character(as.expression(eq));
}
情节如下:
那么,如何:
- 将geom_text颜色更改为与颜色相同的颜色?
- 删除图例标题?
答案 0 :(得分:3)
首先,只需将color = "power1"
和color = "power2"
添加到相应的geom_text()
来电。这将设置适当的颜色,但给你一个令人讨厌的(但预期的)&#34; a&#34;在你的传奇中。删除&#34; a&#34;文字,为每个show_guide=FALSE
来电添加geom_text()
。
其次,我相信您希望第一次aes
调用group = variable
而不是 fill = variable
。当您尝试从图例中删除标题时,这将有助于混淆。要从图例中删除标题,请添加guides(color = guide_lengend(title=NULL))
。
代码:
p <- ggplot(data = dt, aes(x = speed, y = value, group = variable)) +
geom_point(aes(color=variable), size = 2) +
stat_smooth(aes(color=variable), method = lm, formula = y ~ poly(x, 2), se = FALSE, size = 1) +
geom_text(aes(x=100, y=93, label="First Label", color="power1"), show_guide=F) +
geom_text(aes(x=250, y=72, label="Second Label", color="power2"), show_guide=F) +
guides(color = guide_legend(title=NULL))
p
结果:
注意:您需要小心使用geom_text()
对结果进行过度绘制 - 请参阅此post和此answer以获取更多信息和想法。