
Plot multiple ggplot-objects as a grid-arranged single plot.
plot_grid(x, margin = c(1, 1, 1, 1), tags = NULL)
A list of ggplot-objects. See 'Details'.
A numeric vector of length 4, indicating the top, right, bottom and left margin for each plot, in centimetres.
Add tags to your subfigures. Can be TRUE
(letter tags)
or character vector containing tags labels.
An object of class gtable
.
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
.
# NOT RUN {
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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