我有两个线形图显示:一个显示四个采样中六个物种的下降,另一个显示相同六个物种的总下降。我想创建一个图,该图具有单独显示的六个物种和总衰落。
下面是我的六个物种数据框的示例
Week Species Unit
1 A 13
1 B 24
2 B 15
2 C 32
3 C 43
4 D 32
下面是我用来创建显示六种物种下降趋势的折线图的代码
Species_Change<-ggplot(Total_Count, aes(x=Week, y=Unit, group=Scientific.name, color=Scientific.name)) +
geom_point()+
geom_line()+
scale_colour_manual(values = c("yellow", "orange 2", "purple", "maroon 2", "blue", "purple 4","green"))+
ylab("Total number of floral units over the four habitats")+
xlab("Sampling round")+
labs(col="Plant species")
下面是数据框的样本,显示了整个采样周期内所有物种的总数
Week Unit
1 32
2 55
3 73
4 62
下面显示了用于创建第二个折线图的代码,该图显示了采样周期内所有物种的总数
Total_Change<-ggplot(Total_Round, aes(x=Week, y=Unit, )) +
geom_point()+
geom_line()+
ylab("Total number of floral units over the four habitats")+
xlab("Sampling round")+
labs(col="Plant species")
答案 0 :(得分:1)
我不确定这是否是您想要的,但是您可以在Total_count
data.frame
中添加一个名为“ total”的新物种。使用您提供的数据:
dput(Total_Count)
structure(list(Week = c(1L, 1L, 2L, 2L, 3L, 4L), Species = structure(c(1L, 2L, 2L, 3L, 3L, 4L), .Label = c("A", "B", "C", "D"), class = "factor"), Unit = c(13L, 24L, 15L, 32L, 43L, 32L)), row.names = c(NA, -6L), class = "data.frame")
dput(Total_Round)
structure(list(Week = c(1, 2, 3, 4), Unit = c(32, 55, 73, 62)), class = "data.frame", row.names = c(NA, -4L))
码
Total_Round$Species <- factor(rep("Total",nrow(Total_Round))) # Create total species
df <- rbind(Total_Count, Total_Round) # Merge both data.frames
AllwithTotal_Species_Change<-ggplot(df, aes(x=Week, y=Unit, group=Species, color=Species)) +
geom_point()+
geom_line()+
scale_colour_manual(values = c("yellow", "orange 2",
"purple", "maroon 2",
"blue", "purple 4",
"green"))+
ylab("Total number of floral units over the four habitats")+
xlab("Sampling round")+
labs(col="Plant species")
AllwithTotal_Species_Change
希望这会有所帮助!