为一个复杂的情节构建一个手动图例

我不知道如何手动设置这个情节的图例。我真正想要的是一个简单的图例的权利，使用三种颜色，并有一个名称旁边的每一个。

enter image description here

当前代码如下:

a <-c("S1","S2","S3","S4","S5","S6","S7","S8","S9") #names
b <-c(0.23,0.26,0.55,0.56,0.36,0.23,0.18,0.06,0.04) #mean t0
c <-c(0.64,0.6,0.81,1.4,0.89,0.55,0.48,0.22,0.09) #mean t1
d <-c(0.20,0.23,0.52,0.53,0.33,0.20,0.15,0.04,0.03) #SD low t0
e <-c(0.26,0.29,0.58,.59,0.39,0.26,0.21,0.08,0.05) #SD high t0
f <-c(0.67,0.63,0.86,1.44,0.93,0.59,0.51,0.25,0.10) #SD high t1
g <-c(0.61,0.57,0.78,1.36,0.85,0.53,0.45,0.19,0.08) #SD low t1
h <-c(0.41,0.34,0.26,0.84,0.53,0.32,0.30,0.16,0.05) #absolute change


data <- data.frame(a,b,c,d,e,f,g,h)


ggplot(data=data,aes(a)) +
geom_bar(stat="identity", aes(y=h),fill="#62c76b",colour="#333333")+ #green
geom_line(aes(y=b,group=1),size=1.0,colour="#f04546") +   #red
geom_point(aes(y=b),size=3, colour="#f04546") +           #red
geom_errorbar(aes(ymin=d, ymax=e), colour="#f04546", width=0.1, size=.8) +
geom_line(aes(y=c,group=1),size=1.0,colour="#3591d1") +   #blue
geom_point(aes(y=c),size=3, colour="#3591d1") +           #blue
geom_errorbar(aes(ymin=f, ymax=g), colour="#3591d1", width=0.1, size=.8) +
ylab("Symptom severity") + xlab("PHQ-9 symptoms") +
ylim(0,1.6) +
theme_bw() +
theme(axis.title.x = element_text(size = 15, vjust=-.2)) +
theme(axis.title.y = element_text(size = 15, vjust=0.3))
167357 次浏览
小开
最佳答案

You need to map attributes to aesthetics (colours within the aes statement) to produce a legend.

cols <- c("LINE1"="#f04546","LINE2"="#3591d1","BAR"="#62c76b")
ggplot(data=data,aes(x=a)) +
geom_bar(stat="identity", aes(y=h, fill = "BAR"),colour="#333333")+ #green
geom_line(aes(y=b,group=1, colour="LINE1"),size=1.0) +   #red
geom_point(aes(y=b, colour="LINE1"),size=3) +           #red
geom_errorbar(aes(ymin=d, ymax=e, colour="LINE1"), width=0.1, size=.8) +
geom_line(aes(y=c,group=1,colour="LINE2"),size=1.0) +   #blue
geom_point(aes(y=c,colour="LINE2"),size=3) +           #blue
geom_errorbar(aes(ymin=f, ymax=g,colour="LINE2"), width=0.1, size=.8) +
scale_colour_manual(name="Error Bars",values=cols) + scale_fill_manual(name="Bar",values=cols) +
ylab("Symptom severity") + xlab("PHQ-9 symptoms") +
ylim(0,1.6) +
theme_bw() +
theme(axis.title.x = element_text(size = 15, vjust=-.2)) +
theme(axis.title.y = element_text(size = 15, vjust=0.3))

enter image description here

I understand where Roland is coming from, but since this is only 3 attributes, and complications arise from superimposing bars and error bars this may be reasonable to leave the data in wide format like it is. It could be slightly reduced in complexity by using geom_pointrange.

To change the background color for the error bars legend in the original, add + theme(legend.key = element_rect(fill = "white",colour = "white")) to the plot specification. To merge different legends, you typically need to have a consistent mapping for all elements, but it is currently producing an artifact of a black background for me. I thought guide = guide_legend(fill = NULL,colour = NULL) would set the background to null for the legend, but it did not. Perhaps worth another question.

ggplot(data=data,aes(x=a)) +
geom_bar(stat="identity", aes(y=h,fill = "BAR", colour="BAR"))+ #green
geom_line(aes(y=b,group=1, colour="LINE1"),size=1.0) +   #red
geom_point(aes(y=b, colour="LINE1", fill="LINE1"),size=3) +           #red
geom_errorbar(aes(ymin=d, ymax=e, colour="LINE1"), width=0.1, size=.8) +
geom_line(aes(y=c,group=1,colour="LINE2"),size=1.0) +   #blue
geom_point(aes(y=c,colour="LINE2", fill="LINE2"),size=3) +           #blue
geom_errorbar(aes(ymin=f, ymax=g,colour="LINE2"), width=0.1, size=.8) +
scale_colour_manual(name="Error Bars",values=cols, guide = guide_legend(fill = NULL,colour = NULL)) +
scale_fill_manual(name="Bar",values=cols, guide="none") +
ylab("Symptom severity") + xlab("PHQ-9 symptoms") +
ylim(0,1.6) +
theme_bw() +
theme(axis.title.x = element_text(size = 15, vjust=-.2)) +
theme(axis.title.y = element_text(size = 15, vjust=0.3))

enter image description here

To get rid of the black background in the legend, you need to use the override.aes argument to the guide_legend. The purpose of this is to let you specify a particular aspect of the legend which may not be being assigned correctly.

ggplot(data=data,aes(x=a)) +
geom_bar(stat="identity", aes(y=h,fill = "BAR", colour="BAR"))+ #green
geom_line(aes(y=b,group=1, colour="LINE1"),size=1.0) +   #red
geom_point(aes(y=b, colour="LINE1", fill="LINE1"),size=3) +           #red
geom_errorbar(aes(ymin=d, ymax=e, colour="LINE1"), width=0.1, size=.8) +
geom_line(aes(y=c,group=1,colour="LINE2"),size=1.0) +   #blue
geom_point(aes(y=c,colour="LINE2", fill="LINE2"),size=3) +           #blue
geom_errorbar(aes(ymin=f, ymax=g,colour="LINE2"), width=0.1, size=.8) +
scale_colour_manual(name="Error Bars",values=cols,
guide = guide_legend(override.aes=aes(fill=NA))) +
scale_fill_manual(name="Bar",values=cols, guide="none") +
ylab("Symptom severity") + xlab("PHQ-9 symptoms") +
ylim(0,1.6) +
theme_bw() +
theme(axis.title.x = element_text(size = 15, vjust=-.2)) +
theme(axis.title.y = element_text(size = 15, vjust=0.3))

enter image description here

小开

In case you were struggling to change linetypes, the following answer should be helpful. (This is an addition to the solution by Andy W.)

We will try to extend the learned pattern:

cols <- c("LINE1"="#f04546","LINE2"="#3591d1","BAR"="#62c76b")
line_types <- c("LINE1"=1,"LINE2"=3)
ggplot(data=data,aes(x=a)) +
geom_bar(stat="identity", aes(y=h,fill = "BAR"))+ #green
geom_line(aes(y=b,group=1, colour="LINE1", linetype="LINE1"),size=0.5) +   #red
geom_point(aes(y=b, colour="LINE1", fill="LINE1"),size=2) +           #red
geom_line(aes(y=c,group=1,colour="LINE2", linetype="LINE2"),size=0.5) +   #blue
geom_point(aes(y=c,colour="LINE2", fill="LINE2"),size=2) +           #blue
scale_colour_manual(name="Error Bars",values=cols,
guide = guide_legend(override.aes=aes(fill=NA))) +
scale_linetype_manual(values=line_types)+
scale_fill_manual(name="Bar",values=cols, guide="none") +
ylab("Symptom severity") + xlab("PHQ-9 symptoms") +
ylim(0,1.6) +
theme_bw() +
theme(axis.title.x = element_text(size = 15, vjust=-.2)) +
theme(axis.title.y = element_text(size = 15, vjust=0.3))

However, what we get is the following result: manual without name

The problem is that the linetype is not merged in the main legend. Note that we did not give any name to the method scale_linetype_manual. The trick which works here is to give it the same name as what you used for naming scale_colour_manual. More specifically, if we change the corresponding line to the following we get the desired result:

scale_linetype_manual(name="Error Bars",values=line_types)

manual with the same name

Now, it is easy to change the size of the line with the same idea.

Note that the geom_bar has not colour property anymore. (I did not try to fix this issue.) Also, adding geom_errorbar with colour attribute spoils the result. It would be great if somebody can come up with a better solution which resolves these two issues as well.


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