facet_zoom can't change breaks of zoomed plot
I currently have a plot and have used facet_zoom to focus on records between 0 and 10 in the x axis. The following code reproduces an example:
require(ggplot2)
require(ggforce)
require(dplyr)
x <- rnorm(10000, 50, 25)
y <- rexp(10000)
data <- data.frame(x, y)
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = dplyr::between(x, 0, 10))
I want to change the breaks on the zoomed portion of the graph to be the equivalent of:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = dplyr::between(x, 0, 10)) +
scale_x_continuous(breaks = seq(0,10,2))
But this changes the breaks of the original plot as well. Is it possible to just change the breaks of the zoomed portion whilst leaving the original plot as default?
r ggplot2 ggforce
edited 22 hours ago
Z.Lin
10.7k21729
asked Nov 19 '18 at 10:42
Dominic FoyDominic Foy
162
add a comment |
I currently have a plot and have used facet_zoom to focus on records between 0 and 10 in the x axis. The following code reproduces an example:
require(ggplot2)
require(ggforce)
require(dplyr)
x <- rnorm(10000, 50, 25)
y <- rexp(10000)
data <- data.frame(x, y)
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = dplyr::between(x, 0, 10))
I want to change the breaks on the zoomed portion of the graph to be the equivalent of:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = dplyr::between(x, 0, 10)) +
scale_x_continuous(breaks = seq(0,10,2))
But this changes the breaks of the original plot as well. Is it possible to just change the breaks of the zoomed portion whilst leaving the original plot as default?
r ggplot2 ggforce
edited 22 hours ago
Z.Lin
10.7k21729
asked Nov 19 '18 at 10:42
Dominic FoyDominic Foy
162
add a comment |
I currently have a plot and have used facet_zoom to focus on records between 0 and 10 in the x axis. The following code reproduces an example:
require(ggplot2)
require(ggforce)
require(dplyr)
x <- rnorm(10000, 50, 25)
y <- rexp(10000)
data <- data.frame(x, y)
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = dplyr::between(x, 0, 10))
I want to change the breaks on the zoomed portion of the graph to be the equivalent of:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = dplyr::between(x, 0, 10)) +
scale_x_continuous(breaks = seq(0,10,2))
But this changes the breaks of the original plot as well. Is it possible to just change the breaks of the zoomed portion whilst leaving the original plot as default?
r ggplot2 ggforce
edited 22 hours ago
Z.Lin
10.7k21729
asked Nov 19 '18 at 10:42
Dominic FoyDominic Foy
162
I currently have a plot and have used facet_zoom to focus on records between 0 and 10 in the x axis. The following code reproduces an example:
require(ggplot2)
require(ggforce)
require(dplyr)
x <- rnorm(10000, 50, 25)
y <- rexp(10000)
data <- data.frame(x, y)
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = dplyr::between(x, 0, 10))
I want to change the breaks on the zoomed portion of the graph to be the equivalent of:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = dplyr::between(x, 0, 10)) +
scale_x_continuous(breaks = seq(0,10,2))
But this changes the breaks of the original plot as well. Is it possible to just change the breaks of the zoomed portion whilst leaving the original plot as default?
r ggplot2 ggforce
r ggplot2 ggforce
edited 22 hours ago
Z.Lin
10.7k21729
asked Nov 19 '18 at 10:42
Dominic FoyDominic Foy
162
edited 22 hours ago
Z.Lin
10.7k21729
asked Nov 19 '18 at 10:42
Dominic FoyDominic Foy
162
edited 22 hours ago
Z.Lin
10.7k21729
edited 22 hours ago
Z.Lin
10.7k21729
edited 22 hours ago
Z.Lin
10.7k21729
10.7k21729
asked Nov 19 '18 at 10:42
Dominic FoyDominic Foy
162
asked Nov 19 '18 at 10:42
Dominic FoyDominic Foy
162
asked Nov 19 '18 at 10:42
Dominic FoyDominic Foy
162
162
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
This works for your use case:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10)) +
scale_x_continuous(breaks = pretty)
From ?scale_x_continuous, breaks would accept the following (emphasis added):
One of:
NULLfor no breaks
waiver()for the default breaks computed by the transformation object
- A numeric vector of positions
- A function that takes the limits as input and returns breaks as output
pretty() is one such function. It doesn't offer very fine control, but does allow you to have some leeway to specify breaks across different facets with very different scales.
For illustration, here are two examples with different desired number of breaks. See ?pretty for more details on the other arguments this function accepts.
p <- ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10))
cowplot::plot_grid(
p + scale_x_continuous(breaks = function(x) pretty(x, n = 3)),
p + scale_x_continuous(breaks = function(x) pretty(x, n = 10)),
labels = c("n = 3", "n = 10"),
nrow = 1
)
Of course, you can also define your own function to convert plot limits into desired breaks, (e.g. something like p + scale_x_continuous(breaks = function(x) seq(min(x), max(x), length.out = 5))), but I generally find these functions require more tweaking to get right, & pretty() is often good enough.
answered 22 hours ago
Z.LinZ.Lin
10.7k21729
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
This works for your use case:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10)) +
scale_x_continuous(breaks = pretty)
From ?scale_x_continuous, breaks would accept the following (emphasis added):
One of:
NULLfor no breaks
waiver()for the default breaks computed by the transformation object
- A numeric vector of positions
- A function that takes the limits as input and returns breaks as output
pretty() is one such function. It doesn't offer very fine control, but does allow you to have some leeway to specify breaks across different facets with very different scales.
For illustration, here are two examples with different desired number of breaks. See ?pretty for more details on the other arguments this function accepts.
p <- ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10))
cowplot::plot_grid(
p + scale_x_continuous(breaks = function(x) pretty(x, n = 3)),
p + scale_x_continuous(breaks = function(x) pretty(x, n = 10)),
labels = c("n = 3", "n = 10"),
nrow = 1
)
Of course, you can also define your own function to convert plot limits into desired breaks, (e.g. something like p + scale_x_continuous(breaks = function(x) seq(min(x), max(x), length.out = 5))), but I generally find these functions require more tweaking to get right, & pretty() is often good enough.
answered 22 hours ago
Z.LinZ.Lin
10.7k21729
add a comment |
This works for your use case:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10)) +
scale_x_continuous(breaks = pretty)
From ?scale_x_continuous, breaks would accept the following (emphasis added):
One of:
NULLfor no breaks
waiver()for the default breaks computed by the transformation object
- A numeric vector of positions
- A function that takes the limits as input and returns breaks as output
pretty() is one such function. It doesn't offer very fine control, but does allow you to have some leeway to specify breaks across different facets with very different scales.
For illustration, here are two examples with different desired number of breaks. See ?pretty for more details on the other arguments this function accepts.
p <- ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10))
cowplot::plot_grid(
p + scale_x_continuous(breaks = function(x) pretty(x, n = 3)),
p + scale_x_continuous(breaks = function(x) pretty(x, n = 10)),
labels = c("n = 3", "n = 10"),
nrow = 1
)
Of course, you can also define your own function to convert plot limits into desired breaks, (e.g. something like p + scale_x_continuous(breaks = function(x) seq(min(x), max(x), length.out = 5))), but I generally find these functions require more tweaking to get right, & pretty() is often good enough.
answered 22 hours ago
Z.LinZ.Lin
10.7k21729
add a comment |
This works for your use case:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10)) +
scale_x_continuous(breaks = pretty)
From ?scale_x_continuous, breaks would accept the following (emphasis added):
One of:
NULLfor no breaks
waiver()for the default breaks computed by the transformation object
- A numeric vector of positions
- A function that takes the limits as input and returns breaks as output
pretty() is one such function. It doesn't offer very fine control, but does allow you to have some leeway to specify breaks across different facets with very different scales.
For illustration, here are two examples with different desired number of breaks. See ?pretty for more details on the other arguments this function accepts.
p <- ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10))
cowplot::plot_grid(
p + scale_x_continuous(breaks = function(x) pretty(x, n = 3)),
p + scale_x_continuous(breaks = function(x) pretty(x, n = 10)),
labels = c("n = 3", "n = 10"),
nrow = 1
)
Of course, you can also define your own function to convert plot limits into desired breaks, (e.g. something like p + scale_x_continuous(breaks = function(x) seq(min(x), max(x), length.out = 5))), but I generally find these functions require more tweaking to get right, & pretty() is often good enough.
answered 22 hours ago
Z.LinZ.Lin
10.7k21729
This works for your use case:
ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10)) +
scale_x_continuous(breaks = pretty)
From ?scale_x_continuous, breaks would accept the following (emphasis added):
One of:
NULLfor no breaks
waiver()for the default breaks computed by the transformation object
- A numeric vector of positions
- A function that takes the limits as input and returns breaks as output
pretty() is one such function. It doesn't offer very fine control, but does allow you to have some leeway to specify breaks across different facets with very different scales.
For illustration, here are two examples with different desired number of breaks. See ?pretty for more details on the other arguments this function accepts.
p <- ggplot(data, aes(x = x, y = y)) +
geom_point() +
facet_zoom(x = between(x, 0, 10))
cowplot::plot_grid(
p + scale_x_continuous(breaks = function(x) pretty(x, n = 3)),
p + scale_x_continuous(breaks = function(x) pretty(x, n = 10)),
labels = c("n = 3", "n = 10"),
nrow = 1
)
Of course, you can also define your own function to convert plot limits into desired breaks, (e.g. something like p + scale_x_continuous(breaks = function(x) seq(min(x), max(x), length.out = 5))), but I generally find these functions require more tweaking to get right, & pretty() is often good enough.
answered 22 hours ago
Z.LinZ.Lin
10.7k21729
answered 22 hours ago
Z.LinZ.Lin
10.7k21729
answered 22 hours ago
Z.LinZ.Lin
10.7k21729
answered 22 hours ago
Z.LinZ.Lin
10.7k21729
10.7k21729
add a comment |
add a comment |
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