Reputation: 1493
I am plotting together two datasets:
I am trying to edit the legend for a plot, such as the background for the "alpha" legend (Number of monitoring sites) is not purple (just transparent).
Here is a code to reproduce my data format and the figure:
# Data table with similar format to what I have
dt2 <- dt <- data.frame(x = rep(1:20, 10),
y = factor(rep(LETTERS[1:10], each = 20)),
alpha = factor(sample(1:5, size = 40, replace = TRUE)))
# Removing some values in dt2 to match the format of my table
dt2$x[c(1:10, 21:25, 60:65, 81:83, 135:143)] <- NA
# No difference in alpha in dt2
dt2$alpha <- 3
# Plot
ggplot() +
geom_line(dt2, mapping = aes(x, y, fill = "Weather available"), color = "#DCD0FF",lwd = 3, show.legend = TRUE) + # add dummy fill
geom_point(dt, mapping = aes(x, y, alpha = alpha)) +
labs (x = "Date", y = "Site") +
guides(alpha=guide_legend(title="number of monitoring stations", nrow = 2, byrow = TRUE, order = 2),
fill = guide_legend(title = "", order = 1))
Thanks in advance for you help!
Upvotes: 0
Views: 201
Reputation: 37913
You can set override.aes = list(linetype = NA)
to remove the line from the alpha legend. Example below:
library(ggplot2)
# Data table with similar format to what I have
dt2 <- dt <- data.frame(x = rep(1:20, 10),
y = factor(rep(LETTERS[1:10], each = 20)),
alpha = factor(sample(1:5, size = 40, replace = TRUE)))
# Removing some values in dt2 to match the format of my table
dt2$x[c(1:10, 21:25, 60:65, 81:83, 135:143)] <- NA
# No difference in alpha in dt2
dt2$alpha <- 3
# Plot
ggplot() +
geom_line(dt2, mapping = aes(x, y, fill = "Weather available"),
color = "#DCD0FF",lwd = 3, show.legend = TRUE) + # add dummy fill
geom_point(dt, mapping = aes(x, y, alpha = alpha)) +
labs (x = "Date", y = "Site") +
guides(alpha=guide_legend(title="number of monitoring stations",
nrow = 2, byrow = TRUE, order = 2,
override.aes = list(linetype = NA)),
fill = guide_legend(title = "", order = 1))
#> Warning: Ignoring unknown aesthetics: fill
#> Warning: Using alpha for a discrete variable is not advised.
#> Warning: Removed 33 row(s) containing missing values (geom_path).
Created on 2021-04-16 by the reprex package (v1.0.0)
Upvotes: 2