Ggrepel::geom_text_repel(label=rownames(mtcars)) + To allow use to customize the regression formula (instead of fixed as y and x as literal variable names), and added the p-value into the printout as well (as T commented), here is the mod: lm_eqn |t|)'], digits=1) # a single fit with grouped data as asked by = dfg, aes(x = x, y = y)) +Ĭreated on by the reprex package (v2.0.1) Ggplot(data = dfg, aes(x = x, y = y, linetype = group, grp.label = group)) + Ggplot(data = dfg, aes(x = x, y = y, colour = group)) + Labs(x = expression(italic(z)), y = expression(italic(h))) + # variable substitution as asked by same labels in equation and axes # adding a hat as asked by and = df, aes(x = x, y = y)) + Stat_poly_eq(formula = y ~ poly(x, 2, raw = TRUE), Stat_poly_line(formula = y ~ poly(x, 2, raw = TRUE)) + Stat_poly_eq(formula = y ~ x + 0, aes(label = after_stat(eq.label))) + Stat_poly_eq(aes(label = after_stat(eq.label))) + # adding separate labels with equation and R2 # assembling a single label with equation and R2 # using default formula, label and methods
JMP SEPARATING X S ON GRAPH BUILDER CODE
I have omitted in all code examples the additional arguments to stat_poly_line() as they are irrelevant to the question of adding labels. In the examples I use stat_poly_line() instead of stat_smooth() as it has the same defaults as stat_poly_eq() for method and formula. This answer has been updated for 'ggpmisc' (>= 0.4.0) and 'ggplot2' (>= 3.3.0) on. Statistic stat_poly_eq() in my package ggpmisc makes it possible add text labels based on a linear model fit.
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