ggplot2: separate legend per layer - r

Question

I'm trying to plot my data and got quite far with it (as I am a bloody beginner with R and ggplot). Now I'm stuck in making the legend:
I would like to have separate legend entries for line and point layers, which means something like
-- female
-- male
-- Plot A
-- Plot B
O Start
O End
O Year 1
Any suggestions how to solve that problem?
test<-data.frame(id=1:6, sex=rep(c("female", "male"),times=3), plot=rep(c("A", "B"), times=3), start=sample(seq(as.Date('2015/01/01'), as.Date('2016/01/01'), by="day"), 6), end=sample(seq(as.Date('2016/01/01'), as.Date('2016/10/01'), by="day"),6))
test$duration <- difftime(test$end, test$start, units="days")
test$Year1 <- as.Date(test$start+366)
test$Year1[test$Year1>=Sys.Date() | test$duration<365] <-NA
startTime<- as.Date("2015-01-01")
endTime <- Sys.Date()
start.end <-c(startTime, endTime)
ggplot(test, aes(x=start, y=id, color=sex, linetype=plot))+
geom_segment(aes(x=start, xend=end, y=id, yend=id), size=.75)+
geom_point(aes(Year1), na.rm=TRUE, shape=16, size=3)+
geom_point(aes(start), shape=1, size=3)+
geom_point(data=subset(test, end!= Sys.Date()), aes(end), shape=13, size=3)+
guides(color=guide_legend(title=NULL))+
scale_x_date(date_breaks="6 months", date_minor_breaks = "1 month", date_labels="%m/%Y", name="duration", limits=start.end)+
scale_color_discrete(name="", breaks=c("female", "male"), labels=c("f", "m"))+
scale_linetype_manual(name="", breaks=c("A", "B"), labels=c("Plot A", "Plot B"), values=c("dotdash","solid"))+
scale_shape_manual(name="", guide='legend', breaks=c("Year1", "start", "end"), labels=c("Year1", "start", "end"), values=c("16", "1", "13"))
enter image description here

Answer 1

You have to place the start, end and Year1 in a common variable and map the shape aesthetic to this variable. This should work :
library(ggplot2)
library(tidyr)
library(dplyr)
test<-data.frame(id=1:6, sex=rep(c("female", "male"),times=3), plot=rep(c("A", "B"), times=3), start=sample(seq(as.Date('2015/01/01'), as.Date('2016/01/01'), by="day"), 6), end=sample(seq(as.Date('2016/01/01'), as.Date('2016/10/01'), by="day"),6))
test$duration <- difftime(test$end, test$start, units="days")
test$Year1 <- as.Date(test$start+366)
test$Year1[test$Year1>=Sys.Date() | test$duration<365] <-NA
startTime<- as.Date("2015-01-01")
endTime <- Sys.Date()
start.end <-c(startTime, endTime)
test_melt <- test %>%
select(id, sex, start, end, Year1) %>%
gather(type, value, -sex,-id)
ggplot(test)+
geom_segment(aes(x=start, xend=end, y=id, yend=id, color=sex, linetype=plot), size=.75)+
geom_point(aes(x = value, y = id, color = sex, shape = type), data = test_melt, size = 3) +
guides(color=guide_legend(title=NULL))+
scale_x_date(date_breaks="6 months", date_minor_breaks = "1 month", date_labels="%m/%Y", name="duration", limits=start.end)+
scale_color_discrete(name="", breaks=c("female", "male"), labels=c("f", "m"))+
scale_linetype_manual(name="", breaks=c("A", "B"), labels=c("Plot A", "Plot B"), values=c("dotdash","solid"))+
scale_shape_manual(name="", guide='legend', breaks=c("Year1", "start", "end"), labels=c("Year1", "start", "end"), values=c(16, 1, 13))