第一篇文章,希望我已经包含了所有内容。
我正在尝试在以下图表中做两件事:
我整天都在努力寻找答案,但到目前为止没有任何效果。
我的数据是:
Year Area Percentage
<dbl> <fct> <dbl>
1 2008 AOKPOS 0.571
2 2008 AOKPOS 0.6
3 2008 AOKPOS 0.5
4 2008 AOKPOS 0.846
5 2008 AOKPOS 0.2
6 2008 AOKPOS 0.625
我的代码是:
plot1 <- ggplot() +
# blue plot
scale_x_continuous(name="", limits = c(2008, 2019),breaks = 0:2100)+ #No X axis title
scale_y_continuous(name = "",labels = scales::percent)+
theme(text = element_text(size=10))+
coord_cartesian(ylim = c(0,1))+
geom_smooth(data=Possum, aes(x=x, y=y, group=z, colour=z), size=1)
plot1
plot2 <- ggplot() +
# blue plot
scale_x_continuous(name="", limits = c(2008, 2019), breaks = 0:2100)+ #No X axis title
scale_y_continuous(name = "",labels = scales::percent)+
theme(text = element_text(size=10))+
coord_cartesian(ylim = c(0,1))+
geom_smooth(data=Rodent, aes(x=x1, y=y1, group=z1, colour=z1), size=1)
plot2
plot3 <- ggplot() +
# blue plot
scale_x_continuous(name="", limits = c(2008, 2019), breaks = 0:2100)+ #No X axis title
scale_y_continuous(name = "",labels = scales::percent)+
theme(text = element_text(size=10))+
coord_cartesian(ylim = c(0,1))+
geom_smooth(data=Insect, aes(x=x2, y=y2, group=z2, colour=z2), size=1)
plot3
grid.arrange(plot1, plot2, plot3, nrow=3)
答案 0 :(得分:0)
我不知道您要如何更改它,但 您可以使用labs()函数来做到这一点
#Default plot
print(p)
#Modify legend titles
p + labs(fill = "Dose (mg)")
答案 1 :(得分:0)
好,所以发布后不久,我设法弄清楚了:
plot1<-ggplot() +
scale_x_continuous(name="", limits = c(2008, 2019),breaks = 0:2100)+ #No X axis title
scale_y_continuous(name = "",labels = scales::percent)+ theme(text = element_text(size=10))+
coord_cartesian(ylim = c(0,1))+
geom_smooth(data=Possum, aes(x=x, y=y, group=z, colour=z), name = "Possum",size=1)
plot1<- plot1 + scale_color_discrete(name="Pos", label=c("Aok","Tur"))
plot1
plot2<-ggplot() +
scale_x_continuous(name="", limits = c(2008, 2019), breaks = 0:2100)+ #No X axis title
scale_y_continuous(name = "",labels = scales::percent)+ theme(text = element_text(size=10))+
coord_cartesian(ylim = c(0,1))+
geom_smooth(data=Rodent, aes(x=x1, y=y1, group=z1, colour=z1), size=1)
plot2<- plot2 + scale_color_discrete(name="Rod", label=c("Aok","Tur"))
plot2
plot3<-ggplot() +
scale_x_continuous(name="", limits = c(2008, 2019), breaks = 0:2100)+ #No X axis title
scale_y_continuous(name = "",labels = scales::percent)+ theme(text = element_text(size=10))+
coord_cartesian(ylim = c(0,1))+
geom_smooth(data=Insect, aes(x=x2, y=y2, group=z2, colour=z2), size=1)
plot3<- plot3 + scale_color_discrete(name="Ins",label=c("Aok","Tur"))
plot3
grid.arrange(plot1,plot2,plot3, nrow=3)