I have the next plot
ggplot(data=Predict_Fav, aes(x=Fecha, y=TotalCases)) +
ggtitle("Posibles Escenarios de Casos Infectados de COVID-19 en Reino Unido,
Según Tasa de Crecimiento del 31 de Marzo al 6 de Abril del 2020")+
geom_line(aes(y=TotalCases),linetype = "twodash",color="orange")+
geom_point(color="black")+
geom_line(data=Data_UK7,linetype = "twodash",color="black")+
geom_point(data= Data_UK7, color="black")+
geom_line(data=Predict,linetype = "twodash",color="blue")+
geom_point(data= Predict, color="black")+
geom_line(data=Predict_Desfav,linetype = "twodash",color="red")+
geom_point(data= Predict_Desfav, color="black")+
scale_x_date(date_breaks ="2 day")+
xlab("Fecha")+
ylab("Casos Confirmados Totales")
How I can put a legend with the corresponding color code, like this:
There is no data in the example to completely help with this exact plot, but for the legend positioning. This page is helpful. What you need to is add:
+ theme(legend.position = c(0.8, 0.2))
As described in linked post. legend.position can take a vector of x, y coordinates. Replace 0.8 and 0.2 with what you need.
The colored lines can go into one geom_line call and you specify the color with aes(color = your_grouping_variable_here). This will also automatically make the legend. Lastly, add custom colors in scale_color_manual:
library(tidyverse)
data <- tibble(x = rep(1:10,2),
y = c(1:10, 2:11),
group = c(rep("one", 10), rep("two", 10)))
ggplot(data = data, aes(x = x, y = y))+
geom_line(aes(color = group))+
scale_color_manual(values = c("red", "blue"))+
theme_classic()+
theme(legend.position = c(0.2, .8))
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