, . 2, .
1:
ggplot(df,
aes(x = Month, y = Abundance, fill = Type)) +
geom_col(position = "dodge", colour = "black") +
scale_y_continuous(labels = function(x){paste(x, "-")},
sec.axis = dup_axis(breaks = 0)) +
scale_fill_grey() +
facet_grid(~Season, scales = "free_x", space = "free_x") +
theme_classic() +
theme(axis.title.y.right = element_blank(),
axis.text.y.right = element_blank(),
axis.ticks.y = element_blank(),
axis.text.y = element_text(margin = margin(r = 0)),
panel.spacing = unit(0, "mm"),
strip.background = element_rect(size = 0.5))

( , .)
2 - 1, . Y :
y.upper.limit <- diff(range(df$Abundance)) * 0.05 + max(df$Abundance)
y.lower.limit <- 0 - diff(range(df$Abundance)) * 0.05
ggplot(df,
aes(x = Month, y = Abundance, fill = Type)) +
geom_col(position = "dodge", colour = "black") +
geom_hline(yintercept = y.upper.limit) +
scale_y_continuous(labels = function(x){paste(x, "-")},
sec.axis = dup_axis(breaks = 0),
expand = c(0, 0)) +
scale_fill_grey() +
facet_grid(~Season, scales = "free_x", space = "free_x") +
coord_cartesian(ylim = c(y.lower.limit, y.upper.limit)) +
theme_classic() +
theme(axis.title.y.right = element_blank(),
axis.text.y.right = element_blank(),
axis.ticks.y = element_blank(),
axis.text.y = element_text(margin = margin(r = 0)),
panel.spacing = unit(0, "mm"),
strip.background = element_blank())

:
set.seed(10)
df <- data.frame(
Month = rep(c("Jun 14", "Aug 14", "Oct 14", "Dec 14", "Apr 15", "Jun 15"),
each = 3),
Type = rep(c("Mangrove", "Mudflat", "Fringe"), 6),
Season = rep(c("Dry1", rep("Wet1", 3), rep("Dry2", 2)), each = 3),
Abundance = sample(50:600, 18)
)
df <- df %>%
mutate(Month = factor(Month, levels = c("Jun 14", "Aug 14", "Oct 14",
"Dec 14", "Apr 15", "Jun 15")),
Season = factor(Season, levels = c("Dry1", "Wet1", "Dry2")))
( , facet_grid
/facet_wrap
...)