I am making a line plot and would like to plot the average with confidence interval in shades next to it. I can plot the data just as line plot, but that doesn't work quite well because the data is scattered way to much.
Data looks like this:
subsidy_to_port tick industry_cost_to_store
1 20 7 1900000
2 20 8 2800000
3 20 9 3700000
4 20 10 4600000
5 20 11 5500000
6 20 12 6400000
7 20 13 7300000
8 20 14 10300000
9 20 15 13300000
10 20 16 16300000
The subsidy to port goes from 0 to 100 % in steps of 20, I want that factored to show 5 different graphs in one figure. The ticks go from 0 to 32, and the industry_cost_to_store gradually goes up. I tried this for the normal plot:
StoredCO215mln <- ggplot(i3, aes(x = tick, y =
total_co2_emissions_captured)) + geom_point(aes(color =
factor(subsidy_to_port))) + ylab("Amount CO2 captured") + labs(title
= "Total CO2 captured in 32 years (subsidy = 15mln)") +
scale_color_discrete(name="Subsidy to port (%)")
Choosing points gives a lot of scattered points, geom_line just does not work for this data. As you can see, the data set is called i3. I looked at the geom_ribbon command but cannot figure out how this works. All help appreciated! Thanks a lot.
Max
geom_smooth
what you’re after? It sounds like it is. – Konrad Rudolph