ggplot2: How to reposition break lines next to bars in geom_bar instead of at the middle of the bar?
I have the following figure.
As you can see the breaklines for the x scale (which is scaled discrete in this case) go right through the different bars. I want to these breaklines to form "lanes" in which the bars are nicely fitted. So instead of having my breaks go through the bar, I would like them to lie at the edge of each bar.
I experimented a lot with the scale_x_discrete function but just can't seem to figure out how to achieve this...
r ggplot2 geom-bar
add a comment |
I have the following figure.
As you can see the breaklines for the x scale (which is scaled discrete in this case) go right through the different bars. I want to these breaklines to form "lanes" in which the bars are nicely fitted. So instead of having my breaks go through the bar, I would like them to lie at the edge of each bar.
I experimented a lot with the scale_x_discrete function but just can't seem to figure out how to achieve this...
r ggplot2 geom-bar
Welcome to SO! Could you make your problem reproducible by sharing a sample of your data and the code you're working on so others can help (please do not usestr()
,head()
or screenshot)? You can use thereprex
anddatapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?
– Tung
Nov 21 '18 at 13:26
add a comment |
I have the following figure.
As you can see the breaklines for the x scale (which is scaled discrete in this case) go right through the different bars. I want to these breaklines to form "lanes" in which the bars are nicely fitted. So instead of having my breaks go through the bar, I would like them to lie at the edge of each bar.
I experimented a lot with the scale_x_discrete function but just can't seem to figure out how to achieve this...
r ggplot2 geom-bar
I have the following figure.
As you can see the breaklines for the x scale (which is scaled discrete in this case) go right through the different bars. I want to these breaklines to form "lanes" in which the bars are nicely fitted. So instead of having my breaks go through the bar, I would like them to lie at the edge of each bar.
I experimented a lot with the scale_x_discrete function but just can't seem to figure out how to achieve this...
r ggplot2 geom-bar
r ggplot2 geom-bar
edited Nov 21 '18 at 13:16
Jordo82
59418
59418
asked Nov 21 '18 at 12:21
WBM
32
32
Welcome to SO! Could you make your problem reproducible by sharing a sample of your data and the code you're working on so others can help (please do not usestr()
,head()
or screenshot)? You can use thereprex
anddatapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?
– Tung
Nov 21 '18 at 13:26
add a comment |
Welcome to SO! Could you make your problem reproducible by sharing a sample of your data and the code you're working on so others can help (please do not usestr()
,head()
or screenshot)? You can use thereprex
anddatapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?
– Tung
Nov 21 '18 at 13:26
Welcome to SO! Could you make your problem reproducible by sharing a sample of your data and the code you're working on so others can help (please do not use
str()
, head()
or screenshot)? You can use the reprex
and datapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?– Tung
Nov 21 '18 at 13:26
Welcome to SO! Could you make your problem reproducible by sharing a sample of your data and the code you're working on so others can help (please do not use
str()
, head()
or screenshot)? You can use the reprex
and datapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?– Tung
Nov 21 '18 at 13:26
add a comment |
1 Answer
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oldest
votes
You can create some fake gridlines using geom_vline
while hiding the true gridlines.
library(tidyverse)
data <- data.frame(x = letters[1:10], y = runif(10), stringsAsFactors = FALSE)
data %>%
ggplot(aes(x, y)) +
geom_bar(stat = "identity") +
coord_flip() +
geom_vline(xintercept = seq(1.5, 9.5, 1), color = "white") +
theme(panel.grid = element_blank())
add a comment |
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1 Answer
1
active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can create some fake gridlines using geom_vline
while hiding the true gridlines.
library(tidyverse)
data <- data.frame(x = letters[1:10], y = runif(10), stringsAsFactors = FALSE)
data %>%
ggplot(aes(x, y)) +
geom_bar(stat = "identity") +
coord_flip() +
geom_vline(xintercept = seq(1.5, 9.5, 1), color = "white") +
theme(panel.grid = element_blank())
add a comment |
You can create some fake gridlines using geom_vline
while hiding the true gridlines.
library(tidyverse)
data <- data.frame(x = letters[1:10], y = runif(10), stringsAsFactors = FALSE)
data %>%
ggplot(aes(x, y)) +
geom_bar(stat = "identity") +
coord_flip() +
geom_vline(xintercept = seq(1.5, 9.5, 1), color = "white") +
theme(panel.grid = element_blank())
add a comment |
You can create some fake gridlines using geom_vline
while hiding the true gridlines.
library(tidyverse)
data <- data.frame(x = letters[1:10], y = runif(10), stringsAsFactors = FALSE)
data %>%
ggplot(aes(x, y)) +
geom_bar(stat = "identity") +
coord_flip() +
geom_vline(xintercept = seq(1.5, 9.5, 1), color = "white") +
theme(panel.grid = element_blank())
You can create some fake gridlines using geom_vline
while hiding the true gridlines.
library(tidyverse)
data <- data.frame(x = letters[1:10], y = runif(10), stringsAsFactors = FALSE)
data %>%
ggplot(aes(x, y)) +
geom_bar(stat = "identity") +
coord_flip() +
geom_vline(xintercept = seq(1.5, 9.5, 1), color = "white") +
theme(panel.grid = element_blank())
answered Nov 21 '18 at 13:31
Jordo82
59418
59418
add a comment |
add a comment |
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Welcome to SO! Could you make your problem reproducible by sharing a sample of your data and the code you're working on so others can help (please do not use
str()
,head()
or screenshot)? You can use thereprex
anddatapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?– Tung
Nov 21 '18 at 13:26