facet_wrap equal axis per panel
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I would like to make a plot using facet_wrap where the axes can vary for each panel but within a panel the x and y axes should be the same scale.
e.g. see the following plots
df <- read.table(text = "
x y g
1 5 a
2 6 a
3 7 a
4 8 a
5 9 b
6 10 b
7 11 b
8 12 b", header = TRUE)
library(ggplot2)
ggplot(df, aes(x=x,y=y,g=g)) +
geom_point() +
facet_wrap(~ g) # all axes 1-12
ggplot(df, aes(x=x,y=y,g=g)) +
geom_point() +
facet_wrap(~ g, scales = "free")
# fee axes, y & y axes don't match per panel
What i want is for panel a the x and why axes both to be 1-8 and for panel b the x and y axes both to range from 5 - 12.
Is this possible?
r plot ggplot2
asked Feb 27 '15 at 10:53
user1320502user1320502
99021738
add a comment |
I would like to make a plot using facet_wrap where the axes can vary for each panel but within a panel the x and y axes should be the same scale.
e.g. see the following plots
df <- read.table(text = "
x y g
1 5 a
2 6 a
3 7 a
4 8 a
5 9 b
6 10 b
7 11 b
8 12 b", header = TRUE)
library(ggplot2)
ggplot(df, aes(x=x,y=y,g=g)) +
geom_point() +
facet_wrap(~ g) # all axes 1-12
ggplot(df, aes(x=x,y=y,g=g)) +
geom_point() +
facet_wrap(~ g, scales = "free")
# fee axes, y & y axes don't match per panel
What i want is for panel a the x and why axes both to be 1-8 and for panel b the x and y axes both to range from 5 - 12.
Is this possible?
r plot ggplot2
asked Feb 27 '15 at 10:53
user1320502user1320502
99021738
I wonder if you are keen to draw two separate figures and usegrid.arrange(). That would be one way to go, I think.
– jazzurro
Feb 27 '15 at 11:04
@jazzurro I was thinking about employinggrid.arrangealthough it seems a bit frustrating when you have 8-12 panels.
– user1320502
Feb 27 '15 at 11:10
I see your point. But, I'd be happy to use ncol and nrow ingrid.arrangerather than thinking about how I can manipulate x and y axis for each figure.
– jazzurro
Feb 27 '15 at 11:20
Yeah i just wrote a apply to do this, I'll just find out how to match the x and y limits for a ggplot then i could use that
– user1320502
Feb 27 '15 at 11:28
add a comment |
I would like to make a plot using facet_wrap where the axes can vary for each panel but within a panel the x and y axes should be the same scale.
e.g. see the following plots
df <- read.table(text = "
x y g
1 5 a
2 6 a
3 7 a
4 8 a
5 9 b
6 10 b
7 11 b
8 12 b", header = TRUE)
library(ggplot2)
ggplot(df, aes(x=x,y=y,g=g)) +
geom_point() +
facet_wrap(~ g) # all axes 1-12
ggplot(df, aes(x=x,y=y,g=g)) +
geom_point() +
facet_wrap(~ g, scales = "free")
# fee axes, y & y axes don't match per panel
What i want is for panel a the x and why axes both to be 1-8 and for panel b the x and y axes both to range from 5 - 12.
Is this possible?
r plot ggplot2
asked Feb 27 '15 at 10:53
user1320502user1320502
99021738
I would like to make a plot using facet_wrap where the axes can vary for each panel but within a panel the x and y axes should be the same scale.
e.g. see the following plots
df <- read.table(text = "
x y g
1 5 a
2 6 a
3 7 a
4 8 a
5 9 b
6 10 b
7 11 b
8 12 b", header = TRUE)
library(ggplot2)
ggplot(df, aes(x=x,y=y,g=g)) +
geom_point() +
facet_wrap(~ g) # all axes 1-12
ggplot(df, aes(x=x,y=y,g=g)) +
geom_point() +
facet_wrap(~ g, scales = "free")
# fee axes, y & y axes don't match per panel
What i want is for panel a the x and why axes both to be 1-8 and for panel b the x and y axes both to range from 5 - 12.
Is this possible?
r plot ggplot2
r plot ggplot2
asked Feb 27 '15 at 10:53
user1320502user1320502
99021738
asked Feb 27 '15 at 10:53
user1320502user1320502
99021738
asked Feb 27 '15 at 10:53
user1320502user1320502
99021738
asked Feb 27 '15 at 10:53
user1320502user1320502
99021738
asked Feb 27 '15 at 10:53
user1320502user1320502
99021738
99021738
I wonder if you are keen to draw two separate figures and usegrid.arrange(). That would be one way to go, I think.
– jazzurro
Feb 27 '15 at 11:04
@jazzurro I was thinking about employinggrid.arrangealthough it seems a bit frustrating when you have 8-12 panels.
– user1320502
Feb 27 '15 at 11:10
I see your point. But, I'd be happy to use ncol and nrow ingrid.arrangerather than thinking about how I can manipulate x and y axis for each figure.
– jazzurro
Feb 27 '15 at 11:20
Yeah i just wrote a apply to do this, I'll just find out how to match the x and y limits for a ggplot then i could use that
– user1320502
Feb 27 '15 at 11:28
add a comment |
I wonder if you are keen to draw two separate figures and usegrid.arrange(). That would be one way to go, I think.
– jazzurro
Feb 27 '15 at 11:04
@jazzurro I was thinking about employinggrid.arrangealthough it seems a bit frustrating when you have 8-12 panels.
– user1320502
Feb 27 '15 at 11:10
I see your point. But, I'd be happy to use ncol and nrow ingrid.arrangerather than thinking about how I can manipulate x and y axis for each figure.
– jazzurro
Feb 27 '15 at 11:20
Yeah i just wrote a apply to do this, I'll just find out how to match the x and y limits for a ggplot then i could use that
– user1320502
Feb 27 '15 at 11:28
I wonder if you are keen to draw two separate figures and use
grid.arrange(). That would be one way to go, I think.– jazzurro
Feb 27 '15 at 11:04
I wonder if you are keen to draw two separate figures and use
grid.arrange(). That would be one way to go, I think.– jazzurro
Feb 27 '15 at 11:04
@jazzurro I was thinking about employing
grid.arrange although it seems a bit frustrating when you have 8-12 panels.– user1320502
Feb 27 '15 at 11:10
@jazzurro I was thinking about employing
grid.arrange although it seems a bit frustrating when you have 8-12 panels.– user1320502
Feb 27 '15 at 11:10
I see your point. But, I'd be happy to use ncol and nrow in
grid.arrange rather than thinking about how I can manipulate x and y axis for each figure.– jazzurro
Feb 27 '15 at 11:20
I see your point. But, I'd be happy to use ncol and nrow in
grid.arrange rather than thinking about how I can manipulate x and y axis for each figure.– jazzurro
Feb 27 '15 at 11:20
Yeah i just wrote a apply to do this, I'll just find out how to match the x and y limits for a ggplot then i could use that
– user1320502
Feb 27 '15 at 11:28
Yeah i just wrote a apply to do this, I'll just find out how to match the x and y limits for a ggplot then i could use that
– user1320502
Feb 27 '15 at 11:28
add a comment |
3 Answers
3
active
oldest
votes
Using this answer you could try the following:
dummy <- data.frame(x = c(1, 8, 5, 12), y = c(1, 8, 5, 12), g = c("a", "a", "b", "b"))
ggplot(df, aes(x=x,y=y)) +
geom_point() +
facet_wrap(~ g, scales = "free") +
geom_blank(data = dummy)
edited May 23 '17 at 12:29
Community♦
11
answered Feb 27 '15 at 11:28
DatamineRDatamineR
8,61111734
very good! +1 cheers, didn't know aboutgeom_blank
– user1320502
Feb 27 '15 at 11:37
If you have more panels you just have to adapt thedummydata.
– DatamineR
Feb 27 '15 at 11:39
add a comment |
This wasn't an option when the question was asked, but these days I would highly recommend patchwork for combining plots.
answered Nov 23 '18 at 20:11
slacklineslackline
1,02421333
add a comment |
Another solution is trick the axes for individual facet_wrap() plots by adding invisible points to the plots with x and y reversed so that the plotted data is "square", e.g.,
library(ggplot2)
p <- ggplot(data = df) +
geom_point(mapping = aes(x = x, y = y)) +
geom_point(mapping = aes(x = y, y = x), alpha = 0) +
facet_wrap( ~ g, scales = "free")
print(p)
You could also use geom_blank(). You don't need dummy data.
answered Nov 23 '18 at 20:04
Simon WoodwardSimon Woodward
420312
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
Using this answer you could try the following:
dummy <- data.frame(x = c(1, 8, 5, 12), y = c(1, 8, 5, 12), g = c("a", "a", "b", "b"))
ggplot(df, aes(x=x,y=y)) +
geom_point() +
facet_wrap(~ g, scales = "free") +
geom_blank(data = dummy)
edited May 23 '17 at 12:29
Community♦
11
answered Feb 27 '15 at 11:28
DatamineRDatamineR
8,61111734
very good! +1 cheers, didn't know aboutgeom_blank
– user1320502
Feb 27 '15 at 11:37
If you have more panels you just have to adapt thedummydata.
– DatamineR
Feb 27 '15 at 11:39
add a comment |
Using this answer you could try the following:
dummy <- data.frame(x = c(1, 8, 5, 12), y = c(1, 8, 5, 12), g = c("a", "a", "b", "b"))
ggplot(df, aes(x=x,y=y)) +
geom_point() +
facet_wrap(~ g, scales = "free") +
geom_blank(data = dummy)
edited May 23 '17 at 12:29
Community♦
11
answered Feb 27 '15 at 11:28
DatamineRDatamineR
8,61111734
very good! +1 cheers, didn't know aboutgeom_blank
– user1320502
Feb 27 '15 at 11:37
If you have more panels you just have to adapt thedummydata.
– DatamineR
Feb 27 '15 at 11:39
add a comment |
Using this answer you could try the following:
dummy <- data.frame(x = c(1, 8, 5, 12), y = c(1, 8, 5, 12), g = c("a", "a", "b", "b"))
ggplot(df, aes(x=x,y=y)) +
geom_point() +
facet_wrap(~ g, scales = "free") +
geom_blank(data = dummy)
edited May 23 '17 at 12:29
Community♦
11
answered Feb 27 '15 at 11:28
DatamineRDatamineR
8,61111734
Using this answer you could try the following:
dummy <- data.frame(x = c(1, 8, 5, 12), y = c(1, 8, 5, 12), g = c("a", "a", "b", "b"))
ggplot(df, aes(x=x,y=y)) +
geom_point() +
facet_wrap(~ g, scales = "free") +
geom_blank(data = dummy)
edited May 23 '17 at 12:29
Community♦
11
answered Feb 27 '15 at 11:28
DatamineRDatamineR
8,61111734
edited May 23 '17 at 12:29
Community♦
11
edited May 23 '17 at 12:29
Community♦
11
edited May 23 '17 at 12:29
Community♦
11
11
answered Feb 27 '15 at 11:28
DatamineRDatamineR
8,61111734
answered Feb 27 '15 at 11:28
DatamineRDatamineR
8,61111734
answered Feb 27 '15 at 11:28
DatamineRDatamineR
8,61111734
8,61111734
very good! +1 cheers, didn't know aboutgeom_blank
– user1320502
Feb 27 '15 at 11:37
If you have more panels you just have to adapt thedummydata.
– DatamineR
Feb 27 '15 at 11:39
add a comment |
very good! +1 cheers, didn't know aboutgeom_blank
– user1320502
Feb 27 '15 at 11:37
If you have more panels you just have to adapt thedummydata.
– DatamineR
Feb 27 '15 at 11:39
very good! +1 cheers, didn't know about
geom_blank– user1320502
Feb 27 '15 at 11:37
very good! +1 cheers, didn't know about
geom_blank– user1320502
Feb 27 '15 at 11:37
If you have more panels you just have to adapt the
dummy data.– DatamineR
Feb 27 '15 at 11:39
If you have more panels you just have to adapt the
dummy data.– DatamineR
Feb 27 '15 at 11:39
add a comment |
This wasn't an option when the question was asked, but these days I would highly recommend patchwork for combining plots.
answered Nov 23 '18 at 20:11
slacklineslackline
1,02421333
add a comment |
This wasn't an option when the question was asked, but these days I would highly recommend patchwork for combining plots.
answered Nov 23 '18 at 20:11
slacklineslackline
1,02421333
add a comment |
This wasn't an option when the question was asked, but these days I would highly recommend patchwork for combining plots.
answered Nov 23 '18 at 20:11
slacklineslackline
1,02421333
This wasn't an option when the question was asked, but these days I would highly recommend patchwork for combining plots.
answered Nov 23 '18 at 20:11
slacklineslackline
1,02421333
answered Nov 23 '18 at 20:11
slacklineslackline
1,02421333
answered Nov 23 '18 at 20:11
slacklineslackline
1,02421333
answered Nov 23 '18 at 20:11
slacklineslackline
1,02421333
1,02421333
add a comment |
add a comment |
Another solution is trick the axes for individual facet_wrap() plots by adding invisible points to the plots with x and y reversed so that the plotted data is "square", e.g.,
library(ggplot2)
p <- ggplot(data = df) +
geom_point(mapping = aes(x = x, y = y)) +
geom_point(mapping = aes(x = y, y = x), alpha = 0) +
facet_wrap( ~ g, scales = "free")
print(p)
You could also use geom_blank(). You don't need dummy data.
answered Nov 23 '18 at 20:04
Simon WoodwardSimon Woodward
420312
add a comment |
Another solution is trick the axes for individual facet_wrap() plots by adding invisible points to the plots with x and y reversed so that the plotted data is "square", e.g.,
library(ggplot2)
p <- ggplot(data = df) +
geom_point(mapping = aes(x = x, y = y)) +
geom_point(mapping = aes(x = y, y = x), alpha = 0) +
facet_wrap( ~ g, scales = "free")
print(p)
You could also use geom_blank(). You don't need dummy data.
answered Nov 23 '18 at 20:04
Simon WoodwardSimon Woodward
420312
add a comment |
Another solution is trick the axes for individual facet_wrap() plots by adding invisible points to the plots with x and y reversed so that the plotted data is "square", e.g.,
library(ggplot2)
p <- ggplot(data = df) +
geom_point(mapping = aes(x = x, y = y)) +
geom_point(mapping = aes(x = y, y = x), alpha = 0) +
facet_wrap( ~ g, scales = "free")
print(p)
You could also use geom_blank(). You don't need dummy data.
answered Nov 23 '18 at 20:04
Simon WoodwardSimon Woodward
420312
Another solution is trick the axes for individual facet_wrap() plots by adding invisible points to the plots with x and y reversed so that the plotted data is "square", e.g.,
library(ggplot2)
p <- ggplot(data = df) +
geom_point(mapping = aes(x = x, y = y)) +
geom_point(mapping = aes(x = y, y = x), alpha = 0) +
facet_wrap( ~ g, scales = "free")
print(p)
You could also use geom_blank(). You don't need dummy data.
answered Nov 23 '18 at 20:04
Simon WoodwardSimon Woodward
420312
edited Nov 23 '18 at 20:50
answered Nov 23 '18 at 20:04
Simon WoodwardSimon Woodward
420312
answered Nov 23 '18 at 20:04
Simon WoodwardSimon Woodward
420312
answered Nov 23 '18 at 20:04
Simon WoodwardSimon Woodward
420312
420312
add a comment |
add a comment |
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I wonder if you are keen to draw two separate figures and use
grid.arrange(). That would be one way to go, I think.– jazzurro
Feb 27 '15 at 11:04
@jazzurro I was thinking about employing
grid.arrangealthough it seems a bit frustrating when you have 8-12 panels.– user1320502
Feb 27 '15 at 11:10
I see your point. But, I'd be happy to use ncol and nrow in
grid.arrangerather than thinking about how I can manipulate x and y axis for each figure.– jazzurro
Feb 27 '15 at 11:20
Yeah i just wrote a apply to do this, I'll just find out how to match the x and y limits for a ggplot then i could use that
– user1320502
Feb 27 '15 at 11:28