Adding a legend to a graph

I am new to Rstudio and I am attempting to add a legend to my graph but I keep getting the following error message: "Error in strwidth(legend, units = "user", cex = cex, font = text.font) : has not been called yet". I have tried a number of different methods to add the legend but I get the same error message.

This is my code I have been attempting :
ggplot(data) +
geom_segment(aes(x = 1, xend = 2, y = before, yend = after), col = 1:4) +
theme_bw() +
breaks = c("1", "2"),
labels = c("Before", "After"),
limits = c(1, 2)
) +
labs(y = "y", x = "x", title = "C") +legend("topright", legend=c("Mean 1", "Mean 2", "Mean 3", "Mean4"), col = 1:4)

Below is the data frame I have been working on:
before after
mean.A 55.207921 61.49175
mean.B 15.669967 20.82673
mean.C 16.250825 19.21452
mean.D 9.475262 10.69145

Any help on how to get the legend to work would be appreciated.

legend() is a base R function, you can't apply a base R function to a ggplot2 object. Is this what you want to achieve?


# Sample data in a copy/paste friendly format, replace this with your own data frame
sample_df <- data.frame(
   row.names = c("mean.A", "mean.B", "mean.C", "mean.D"),
      before = c(55.207921, 15.669967, 16.250825, 9.475262),
       after = c(61.49175, 20.82673, 19.21452, 10.69145)

# Relevant code
sample_df %>% 
    rownames_to_column(var = "Mean") %>%
    ggplot() +
    geom_segment(aes(x = 1L, xend = 2L, y = before, yend = after, col = Mean)) +
    theme_bw() +
        breaks = c(1, 2),
        labels = c("Before", "After"), 
        limits = factor(c(1, 2))
    ) +
    labs(y = "Mean concentration of Enzyme (IU/l)/Pigement (μmol/l) Present",
         x = "Treatment Stage",
         title = "Concentration of Various Enyzmes Before and After Treatment")

Created on 2022-01-08 by the reprex package (v2.0.1)

Note: Next time please provide a proper REPRoducible EXample (reprex) illustrating your issue.

Minor footnote, should you ever be using legend() in {base}: The legend() function operates on one plot at a time and can't be called successively for the same plot.

Somewhat off topic: Does this data benefit from graphical presentation compared to a table?

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