R ggplot2 add legend to linetype-CodePudding

Based on the following code how can I add a legend to the black line (Historic Trend) type using ggplotly (Because ggplotly adds numbers (like ,0) to legend sometimes which you don't get with a simple ggplot legend)?

Should I add aes(color = "black") to geom_vline or geom_hline?

Sample data (AvgTMeanYear):

structure(list(year = 1980:2021, AvgTMean = c(24.2700686838937, 
23.8852956598276, 25.094446596092, 24.1561175050287, 24.157183605977, 
24.3047482638362, 24.7899738481466, 24.5756232655603, 24.5833086228592, 
24.7344695534483, 25.3094451071121, 25.2100615173707, 24.3651692293534, 
24.5423890611494, 25.2492166633908, 24.7005097837931, 24.2491591827443, 
25.0912281781322, 25.0779264303305, 24.403294248319, 24.4983991453592, 
24.4292324356466, 24.8179824927011, 24.7243948463075, 24.5086534543966, 
24.2818632071983, 24.4567195220259, 24.8402224356034, 24.6574465515086, 
24.5440715673563, 23.482670620977, 24.9979594684914, 24.5452453980747, 
24.9271462811494, 24.7443215819253, 25.8929839790805, 25.1801908261063, 
25.2079308058908, 25.0722425561207, 25.4554644289799, 25.4548979078736, 
25.0756772250287)), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, 
-42L))

Code:

ggT = ggplot(AvgTMeanYear, aes(year, AvgTMean))   
  geom_smooth(method = 'lm', fullrange = TRUE,  aes(color = "blue"))  
  annotate('rect', xmin = -Inf, xmax = 2021, ymin = -Inf, ymax = Inf,
           fill = 'gray92')  
  geom_vline(xintercept = seq(1980, 2020, 5), color = 'white')  
  geom_hline(yintercept = seq(23.5, 25.5, 0.5), color = 'white')  
  geom_line()  
  scale_x_continuous(limits = c(1980, 2030))  
  scale_colour_manual(name = "Legend", values = "blue", label = "Future Trend")

ggplotly(ggT)

CodePudding user response：

If you want to have a legend you have to map on aesthetics, i.e. use e.g. geom_line(aes(color = "Historic Trend")) to get a legend entry for the black line too. Additionally I slightly adjusted your code an used color ="Future Trend" for your blue line too. The reason is that using the labels argument of scale_colour_manual did not work when converting via ggplotly().

library(plotly)

ggT <- ggplot(AvgTMeanYear, aes(year, AvgTMean))   
  geom_smooth(method = 'lm', fullrange = TRUE,  aes(color =  "Future Trend"))  
  annotate('rect', xmin = -Inf, xmax = 2021, ymin = -Inf, ymax = Inf,
           fill = 'gray92')  
  geom_vline(xintercept = seq(1980, 2020, 5), color = 'white')  
  geom_hline(yintercept = seq(23.5, 25.5, 0.5), color = 'white')  
  geom_line(aes(color = "Historic Trend"))  
  scale_x_continuous(limits = c(1980, 2030))  
  scale_colour_manual(name = "Legend", values = c( "Future Trend" = "blue", "Historic Trend" = "black"))

ggplotly(ggT)