rggplot2ggbreak
Remove outer box of geom_bar plot with broken y-axis
I made a stacked barplot in ggplot2 and removed some interval on the y-axis using the ggbreak package. It workes fine, but it added a black box around the two subplots it created. How can I get rid of this box?
I tried to set panel.border and panel.background (as well as some other options) to element.blank() as in the following example:
library("ggplot2")
library("ggbreak")
test_df <- structure(list(cv_model_name = structure(c(2L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L,
3L, 3L, 3L, 3L), levels = c("1", "2", "3", "4"), class = "factor"),
best_suggestion = c(0, 1, 5, 5, 10, 10, 100, 0, 1, 5, 10,
100, 0, 5, 5, 10, 10, 100, 0, 5, 5, 10, 10, 100, 100), cv_included = c(TRUE,
TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, FALSE,
TRUE, FALSE, TRUE, FALSE, TRUE), count = c(349, 33, 30, 1,
4, 7, 1, 304, 115, 3, 24, 4, 305, 1, 28, 2, 29, 12, 760,
1, 6, 28, 18, 9, 3), level = structure(c(5L, 4L, 3L, 3L,
2L, 2L, 1L, 5L, 4L, 3L, 2L, 1L, 5L, 3L, 3L, 2L, 2L, 1L, 5L,
3L, 3L, 2L, 2L, 1L, 1L), levels = c("No match", "Same genus",
"Same aggregate", "Aggregate", "Species", "Subspecies"), class = "factor"),
no_cv_model = c(FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE,
FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE
)), class = c("grouped_df", "tbl_df", "tbl", "data.frame"
), row.names = c(NA, -25L), groups = structure(list(cv_model_name = structure(c(1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,
4L), levels = c("1", "2", "3", "4"), class = "factor"), best_suggestion = c(0,
1, 5, 10, 100, 0, 1, 5, 10, 100, 0, 5, 10, 100, 0, 5, 10, 100
), .rows = structure(list(8L, 9L, 10L, 11L, 12L, 1L, 2L, 3:4,
5:6, 7L, 19L, 20:21, 22:23, 24:25, 13L, 14:15, 16:17, 18L), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -18L), .drop = TRUE))
safe_colorblind_palette <- c(
"#88CCEE", "#CC6677", "#DDCC77", "#117733", "#332288", "#AA4499", "#44AA99",
"#999933", "#882255", "#661100", "#6699CC", "#888888"
)
options(ggplot2.discrete.colour = safe_colorblind_palette,
ggplot2.discrete.fill = safe_colorblind_palette
)
theme_set(theme_bw())
gg <- ggplot(
data = test_df,
aes(
x = cv_model_name,
y = count,
fill = level,
alpha = as.factor(cv_included)
),
pattern = "stripe", pattern_angle = 0
) +
geom_bar(position = "stack", stat = "identity") +
xlab("Factor") +
ylab("Count") +
scale_fill_manual("Best match", values = safe_colorblind_palette) +
scale_alpha_manual("CV model included", values = c(0.5, 1)) +
scale_y_break(c(100, 300)) +
theme(strip.background = element_blank(),
panel.border = element_blank(),
panel.background = element_blank())
gg
However, this did only remove the inner panel borders (which I intended to keep!) while the outer box is still intact.
Solution
One option to fix that would be to set the base theme in your ggplot2 pipeline instead of via theme_set():
library(ggplot2)
library(ggbreak)
gg <- ggplot(
data = test_df,
aes(
x = cv_model_name,
y = count,
fill = level,
alpha = as.factor(cv_included)
),
pattern = "stripe", pattern_angle = 0
) +
geom_bar(position = "stack", stat = "identity") +
xlab("Factor") +
ylab("Count") +
scale_fill_manual("Best match", values = safe_colorblind_palette) +
scale_alpha_manual("CV model included", values = c(0.5, 1)) +
scale_y_break(c(100, 300)) +
theme_bw() +
theme(
strip.background = element_blank(),
panel.border = element_blank(),
panel.background = element_blank()
)
gg
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