plot_grid | R Documentation |
Plot multiple ggplot-objects as a grid-arranged single plot.
plot_grid(x, margin = c(1, 1, 1, 1), tags = NULL)
x |
A list of ggplot-objects. See 'Details'. |
margin |
A numeric vector of length 4, indicating the top, right, bottom and left margin for each plot, in centimetres. |
tags |
Add tags to your subfigures. Can be |
This function takes a list
of ggplot-objects as argument.
Plotting functions of this package that produce multiple plot
objects (e.g., when there is an argument facet.grid
) usually
return multiple plots as list (the return value is named plot.list
).
To arrange these plots as grid as a single plot, use plot_grid
.
An object of class gtable
.
if (require("dplyr") && require("gridExtra")) {
library(ggeffects)
data(efc)
# fit model
fit <- glm(
tot_sc_e ~ c12hour + e17age + e42dep + neg_c_7,
data = efc,
family = poisson
)
# plot marginal effects for each predictor, each as single plot
p1 <- ggpredict(fit, "c12hour") %>%
plot(show.y.title = FALSE, show.title = FALSE)
p2 <- ggpredict(fit, "e17age") %>%
plot(show.y.title = FALSE, show.title = FALSE)
p3 <- ggpredict(fit, "e42dep") %>%
plot(show.y.title = FALSE, show.title = FALSE)
p4 <- ggpredict(fit, "neg_c_7") %>%
plot(show.y.title = FALSE, show.title = FALSE)
# plot grid
plot_grid(list(p1, p2, p3, p4))
# plot grid
plot_grid(list(p1, p2, p3, p4), tags = TRUE)
}
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