ggrepel: using position_dodge in combination with geom_label_repel
I'm trying to label the outliers in a geom_boxplot
using ggrepel::geom_label_repel
. It works nicely when there's only one grouping variable, but when I try it for multiple grouping variables I run into a problem. The position argument in ggrepel doesn't seem to work very consistently for some reason, see this example:
library(tidyverse)
library(ggrepel)
set.seed(1337)
df <- tibble(x = rnorm(500),
g1 = factor(sample(c('A','B'), 500, replace = TRUE)),
g2 = factor(sample(c('A','B'), 500, replace = TRUE)),
rownames = 1:500)
is_outlier <- function(x) {
return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75) + 1.5 * IQR(x))
}
df_outliers <- df %>% group_by(g1, g2) %>% mutate(outlier=is_outlier(x))
ggplot(df_outliers, aes(x=g1, y=x, fill=g2)) +
geom_boxplot(width=0.3, position = position_dodge(0.5)) +
ggrepel::geom_label_repel(data=. %>% filter(outlier),
aes(label=rownames), position = position_dodge(0.8))
Is there a way to make the labels point to the accompanying dots using ggrepel?
r ggplot2 ggrepel
add a comment |
I'm trying to label the outliers in a geom_boxplot
using ggrepel::geom_label_repel
. It works nicely when there's only one grouping variable, but when I try it for multiple grouping variables I run into a problem. The position argument in ggrepel doesn't seem to work very consistently for some reason, see this example:
library(tidyverse)
library(ggrepel)
set.seed(1337)
df <- tibble(x = rnorm(500),
g1 = factor(sample(c('A','B'), 500, replace = TRUE)),
g2 = factor(sample(c('A','B'), 500, replace = TRUE)),
rownames = 1:500)
is_outlier <- function(x) {
return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75) + 1.5 * IQR(x))
}
df_outliers <- df %>% group_by(g1, g2) %>% mutate(outlier=is_outlier(x))
ggplot(df_outliers, aes(x=g1, y=x, fill=g2)) +
geom_boxplot(width=0.3, position = position_dodge(0.5)) +
ggrepel::geom_label_repel(data=. %>% filter(outlier),
aes(label=rownames), position = position_dodge(0.8))
Is there a way to make the labels point to the accompanying dots using ggrepel?
r ggplot2 ggrepel
1
I think at least part of the problem has to do with having no B (g1) A (g2) outliers. You can get the dodging by adding that combination in,. %>% filter(outlier) %>% group_by(g1) %>% complete(g2)
. However, this doesn't fix the problem of how the lines are drawn with ggrepel.
– aosmith
Nov 19 '18 at 22:35
add a comment |
I'm trying to label the outliers in a geom_boxplot
using ggrepel::geom_label_repel
. It works nicely when there's only one grouping variable, but when I try it for multiple grouping variables I run into a problem. The position argument in ggrepel doesn't seem to work very consistently for some reason, see this example:
library(tidyverse)
library(ggrepel)
set.seed(1337)
df <- tibble(x = rnorm(500),
g1 = factor(sample(c('A','B'), 500, replace = TRUE)),
g2 = factor(sample(c('A','B'), 500, replace = TRUE)),
rownames = 1:500)
is_outlier <- function(x) {
return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75) + 1.5 * IQR(x))
}
df_outliers <- df %>% group_by(g1, g2) %>% mutate(outlier=is_outlier(x))
ggplot(df_outliers, aes(x=g1, y=x, fill=g2)) +
geom_boxplot(width=0.3, position = position_dodge(0.5)) +
ggrepel::geom_label_repel(data=. %>% filter(outlier),
aes(label=rownames), position = position_dodge(0.8))
Is there a way to make the labels point to the accompanying dots using ggrepel?
r ggplot2 ggrepel
I'm trying to label the outliers in a geom_boxplot
using ggrepel::geom_label_repel
. It works nicely when there's only one grouping variable, but when I try it for multiple grouping variables I run into a problem. The position argument in ggrepel doesn't seem to work very consistently for some reason, see this example:
library(tidyverse)
library(ggrepel)
set.seed(1337)
df <- tibble(x = rnorm(500),
g1 = factor(sample(c('A','B'), 500, replace = TRUE)),
g2 = factor(sample(c('A','B'), 500, replace = TRUE)),
rownames = 1:500)
is_outlier <- function(x) {
return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75) + 1.5 * IQR(x))
}
df_outliers <- df %>% group_by(g1, g2) %>% mutate(outlier=is_outlier(x))
ggplot(df_outliers, aes(x=g1, y=x, fill=g2)) +
geom_boxplot(width=0.3, position = position_dodge(0.5)) +
ggrepel::geom_label_repel(data=. %>% filter(outlier),
aes(label=rownames), position = position_dodge(0.8))
Is there a way to make the labels point to the accompanying dots using ggrepel?
r ggplot2 ggrepel
r ggplot2 ggrepel
edited Nov 19 '18 at 15:02
Rui Barradas
16.5k51730
16.5k51730
asked Nov 19 '18 at 14:58
RaviRavi
413
413
1
I think at least part of the problem has to do with having no B (g1) A (g2) outliers. You can get the dodging by adding that combination in,. %>% filter(outlier) %>% group_by(g1) %>% complete(g2)
. However, this doesn't fix the problem of how the lines are drawn with ggrepel.
– aosmith
Nov 19 '18 at 22:35
add a comment |
1
I think at least part of the problem has to do with having no B (g1) A (g2) outliers. You can get the dodging by adding that combination in,. %>% filter(outlier) %>% group_by(g1) %>% complete(g2)
. However, this doesn't fix the problem of how the lines are drawn with ggrepel.
– aosmith
Nov 19 '18 at 22:35
1
1
I think at least part of the problem has to do with having no B (g1) A (g2) outliers. You can get the dodging by adding that combination in,
. %>% filter(outlier) %>% group_by(g1) %>% complete(g2)
. However, this doesn't fix the problem of how the lines are drawn with ggrepel.– aosmith
Nov 19 '18 at 22:35
I think at least part of the problem has to do with having no B (g1) A (g2) outliers. You can get the dodging by adding that combination in,
. %>% filter(outlier) %>% group_by(g1) %>% complete(g2)
. However, this doesn't fix the problem of how the lines are drawn with ggrepel.– aosmith
Nov 19 '18 at 22:35
add a comment |
1 Answer
1
active
oldest
votes
You can try this:
ggplot(df_outliers,
aes(x=g1, y=x, fill=g2, label=rownames)) +
geom_boxplot(width = 0.3, position = position_dodge(0.5)) +
geom_label_repel(data = . %>%
filter(outlier) %>%
group_by(g1) %>%
complete(g2, fill = list(x = 0, rownames = "")),
position = position_dodge(0.5),
box.padding = 1,
min.segment.length = 0,
show.legend = FALSE)
Explanations:
The data source for
geom_label_repel()
follows aosmith's suggestion to add the B-A combination, filling0
for x (any number would do, as long as it's not the default NA) and""
for rowname (ggrepel won't plot empty labels, but will take them into account when dodging).box.padding
is set to 1 (increased from the default 0.25) to push the labels further away, so that the line segments are more visible.min.segment.length
is set to 0 (decreased from the default 0.5) to force line segments to be plotted, no matter how short they are.
(show.legend = FALSE
is optional. I just don't like seeing "a" letter show up in the legend.)
add a comment |
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1 Answer
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1 Answer
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active
oldest
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You can try this:
ggplot(df_outliers,
aes(x=g1, y=x, fill=g2, label=rownames)) +
geom_boxplot(width = 0.3, position = position_dodge(0.5)) +
geom_label_repel(data = . %>%
filter(outlier) %>%
group_by(g1) %>%
complete(g2, fill = list(x = 0, rownames = "")),
position = position_dodge(0.5),
box.padding = 1,
min.segment.length = 0,
show.legend = FALSE)
Explanations:
The data source for
geom_label_repel()
follows aosmith's suggestion to add the B-A combination, filling0
for x (any number would do, as long as it's not the default NA) and""
for rowname (ggrepel won't plot empty labels, but will take them into account when dodging).box.padding
is set to 1 (increased from the default 0.25) to push the labels further away, so that the line segments are more visible.min.segment.length
is set to 0 (decreased from the default 0.5) to force line segments to be plotted, no matter how short they are.
(show.legend = FALSE
is optional. I just don't like seeing "a" letter show up in the legend.)
add a comment |
You can try this:
ggplot(df_outliers,
aes(x=g1, y=x, fill=g2, label=rownames)) +
geom_boxplot(width = 0.3, position = position_dodge(0.5)) +
geom_label_repel(data = . %>%
filter(outlier) %>%
group_by(g1) %>%
complete(g2, fill = list(x = 0, rownames = "")),
position = position_dodge(0.5),
box.padding = 1,
min.segment.length = 0,
show.legend = FALSE)
Explanations:
The data source for
geom_label_repel()
follows aosmith's suggestion to add the B-A combination, filling0
for x (any number would do, as long as it's not the default NA) and""
for rowname (ggrepel won't plot empty labels, but will take them into account when dodging).box.padding
is set to 1 (increased from the default 0.25) to push the labels further away, so that the line segments are more visible.min.segment.length
is set to 0 (decreased from the default 0.5) to force line segments to be plotted, no matter how short they are.
(show.legend = FALSE
is optional. I just don't like seeing "a" letter show up in the legend.)
add a comment |
You can try this:
ggplot(df_outliers,
aes(x=g1, y=x, fill=g2, label=rownames)) +
geom_boxplot(width = 0.3, position = position_dodge(0.5)) +
geom_label_repel(data = . %>%
filter(outlier) %>%
group_by(g1) %>%
complete(g2, fill = list(x = 0, rownames = "")),
position = position_dodge(0.5),
box.padding = 1,
min.segment.length = 0,
show.legend = FALSE)
Explanations:
The data source for
geom_label_repel()
follows aosmith's suggestion to add the B-A combination, filling0
for x (any number would do, as long as it's not the default NA) and""
for rowname (ggrepel won't plot empty labels, but will take them into account when dodging).box.padding
is set to 1 (increased from the default 0.25) to push the labels further away, so that the line segments are more visible.min.segment.length
is set to 0 (decreased from the default 0.5) to force line segments to be plotted, no matter how short they are.
(show.legend = FALSE
is optional. I just don't like seeing "a" letter show up in the legend.)
You can try this:
ggplot(df_outliers,
aes(x=g1, y=x, fill=g2, label=rownames)) +
geom_boxplot(width = 0.3, position = position_dodge(0.5)) +
geom_label_repel(data = . %>%
filter(outlier) %>%
group_by(g1) %>%
complete(g2, fill = list(x = 0, rownames = "")),
position = position_dodge(0.5),
box.padding = 1,
min.segment.length = 0,
show.legend = FALSE)
Explanations:
The data source for
geom_label_repel()
follows aosmith's suggestion to add the B-A combination, filling0
for x (any number would do, as long as it's not the default NA) and""
for rowname (ggrepel won't plot empty labels, but will take them into account when dodging).box.padding
is set to 1 (increased from the default 0.25) to push the labels further away, so that the line segments are more visible.min.segment.length
is set to 0 (decreased from the default 0.5) to force line segments to be plotted, no matter how short they are.
(show.legend = FALSE
is optional. I just don't like seeing "a" letter show up in the legend.)
answered Jan 16 at 6:30
Z.LinZ.Lin
10.9k21729
10.9k21729
add a comment |
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1
I think at least part of the problem has to do with having no B (g1) A (g2) outliers. You can get the dodging by adding that combination in,
. %>% filter(outlier) %>% group_by(g1) %>% complete(g2)
. However, this doesn't fix the problem of how the lines are drawn with ggrepel.– aosmith
Nov 19 '18 at 22:35