ggplot2: Creating labels and different colors on my plot

[sophie5]

I need help!
I guess I can't attach the photo of the graph... but here's the deal.
"FRPM.x" is drawing from a data set, and "FRPM.y" is drawing from a different data set, but they're both being used to create geom_smooth and geom_point plots for 2 counties. I want the two datasets AND the two counties to have different colors, and to specify the difference in the legend, but I don't know how to separate them. Right now, both the lines for "Marin" have the same color, and both the lines for "Sonoma" have the same color, so it's hard to tell what is what.

I'm also very new to R and this is my first time using this forum, so pardon any lack of clarity!
Big thanks!

bigTabs <-left_join(tabs,tabs2,by=c("year","County.Name"))

bigTabs <- bigTabs[bigTabs$County.Name %in% countyList,]

bigplot <- ggplot(bigTabs, aes(x=year))+
  geom_point(aes(color=County.Name,y=FRPM.x))+
  geom_smooth(method="lm", aes(color=County.Name,y=FRPM.x))+
  geom_point(aes(color=County.Name,y=FRPM.y))+
  geom_smooth(method="lm", aes(color=County.Name,y=FRPM.y))+
  scale_x_continuous(breaks=seq(2010, 2019), limits=c(2010,2019))+
  ggtitle("FRPM by Year")+
  labs(x="Year", y="FRPM")+
  theme_classic()

[andresrcs]

Hi!

To help us help you, could you please turn this into a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[nirgrahamuk]

longertabs <- bigTabs  %>% pivot_longer(
  cols=starts_with("FRPM")
) %>% mutate(keyvar = paste0(County.Name," ",name))

bigplot <- ggplot(longertabs, aes(x=year,y=value,color=keyvar))+
  geom_point()+
  geom_smooth(method="lm")+
  scale_x_continuous(breaks=seq(2010, 2019), limits=c(2010,2019))+
  scale_color_manual(values=list("county a FRPM.x"="red",
                                 "county a FRPM.y"="yellow",
                                 "county b FRPM.x"="black",
                                 "county b FRPM.y"="blue"))+
  ggtitle("FRPM by Year")+
  labs(x="Year", y="FRPM")+
  theme_classic()

[sophie5]

Thanks so much! This did the trick and helped loads!