I currently have the following plot and now wish to fit a second line to it but this time i want an exponential line. Appreciate it might me hard without knowing too much about my data. Imagine you might need some example of data/predictions so just ask if you need something extra here. Assume I'm looking at another geom_line() argument or stat_smooth() but unsure what to use inside them to keep an exponential curve.
code
eastern_mod = gam(eastern_chloro ~ s(eastern_sst, k = 5, bs = "cs"),
data = climate_df,
family = gaussian(link = "identity"))
#predictions
eastern_preds = predict(eastern_mod, type = 'response', se.fit =
TRUE)
#plot
eastern_plot = ggplot(climate_df, aes(y = eastern_chloro, x =
eastern_sst)) + geom_point() + geom_line(aes(eastern_sst, eastern_preds$fit), colour = 'orange',
size = 2)
data snipet
climate_df[, c("date", "eastern_sst", "eastern_chloro")]
date eastern_sst eastern_chloro
1998-01-15 17.155 0.132
1998-02-15 16.504 0.132
1998-03-15 16.208 0.126
1998-04-15 17.702 0.087
1998-05-15 19.660 0.066
1998-06-15 23.512 0.051
1998-07-15 25.912 0.049
1998-08-15 27.226 0.056
1998-09-15 26.151 0.060
1998-10-15 24.440 0.063
1998-11-15 21.867 0.087
1998-12-15 18.797 0.155
1999-01-15 17.206 0.155
1999-02-15 16.345 0.146
1999-03-15 16.689 0.100
current plot
