ggplot2 How to align graphs with equal y scale as percentage
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I'm trying to obtain 2 aligned bar plots with percentage scales of 2 different factors. The y scales calculated as percent are different. I would like to have the same y scales for both plots, for example from 0 to 40% in both. I've tried ylim() which doesn't work on the percentage scale. Example below
library(ggplot2)
library(scales)
data("diamonds")
First bar-plot for cut
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label =
scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Cut") + theme(plot.title = element_text(hjust = 0.5, size=14,
face="bold")) +
xlab("Cut") +
ylab("Percent") +
theme(legend.position="bottom")
Second bar-plot for clarity
p1<- ggplot(diamonds, aes(x = clarity)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=clarity)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label =
scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Clarity") + theme(plot.title = element_text(hjust = 0.5, size=14,
face="bold")) +
xlab("Clarity") +
ylab("Percent") +
theme(legend.position="bottom")
Arranging bar-plot with different scales
grid.arrange(p,p1, ncol = 2)
different scales but I would like for example both at 40% top
If scales weren't percentages I would do this:
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
xlab("Cut") +
ylab("Percent") +
ylim(0, 40)
theme(legend.position="bottom")
But here, of course, it doesn't work and returns this:
r ggplot2 bar-chart percentage
add a comment |
I'm trying to obtain 2 aligned bar plots with percentage scales of 2 different factors. The y scales calculated as percent are different. I would like to have the same y scales for both plots, for example from 0 to 40% in both. I've tried ylim() which doesn't work on the percentage scale. Example below
library(ggplot2)
library(scales)
data("diamonds")
First bar-plot for cut
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label =
scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Cut") + theme(plot.title = element_text(hjust = 0.5, size=14,
face="bold")) +
xlab("Cut") +
ylab("Percent") +
theme(legend.position="bottom")
Second bar-plot for clarity
p1<- ggplot(diamonds, aes(x = clarity)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=clarity)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label =
scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Clarity") + theme(plot.title = element_text(hjust = 0.5, size=14,
face="bold")) +
xlab("Clarity") +
ylab("Percent") +
theme(legend.position="bottom")
Arranging bar-plot with different scales
grid.arrange(p,p1, ncol = 2)
different scales but I would like for example both at 40% top
If scales weren't percentages I would do this:
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
xlab("Cut") +
ylab("Percent") +
ylim(0, 40)
theme(legend.position="bottom")
But here, of course, it doesn't work and returns this:
r ggplot2 bar-chart percentage
useylim(0, 0.4)
– Richard Telford
Nov 16 '18 at 12:47
Thanks! definitely better but I lose the scale as integer and % which I kind of liked. Any idea how to preserve that?
– Mia
Nov 16 '18 at 13:06
The ylim replaced the existing scale - your solution fixed that
– Richard Telford
Nov 16 '18 at 15:32
add a comment |
I'm trying to obtain 2 aligned bar plots with percentage scales of 2 different factors. The y scales calculated as percent are different. I would like to have the same y scales for both plots, for example from 0 to 40% in both. I've tried ylim() which doesn't work on the percentage scale. Example below
library(ggplot2)
library(scales)
data("diamonds")
First bar-plot for cut
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label =
scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Cut") + theme(plot.title = element_text(hjust = 0.5, size=14,
face="bold")) +
xlab("Cut") +
ylab("Percent") +
theme(legend.position="bottom")
Second bar-plot for clarity
p1<- ggplot(diamonds, aes(x = clarity)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=clarity)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label =
scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Clarity") + theme(plot.title = element_text(hjust = 0.5, size=14,
face="bold")) +
xlab("Clarity") +
ylab("Percent") +
theme(legend.position="bottom")
Arranging bar-plot with different scales
grid.arrange(p,p1, ncol = 2)
different scales but I would like for example both at 40% top
If scales weren't percentages I would do this:
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
xlab("Cut") +
ylab("Percent") +
ylim(0, 40)
theme(legend.position="bottom")
But here, of course, it doesn't work and returns this:
r ggplot2 bar-chart percentage
I'm trying to obtain 2 aligned bar plots with percentage scales of 2 different factors. The y scales calculated as percent are different. I would like to have the same y scales for both plots, for example from 0 to 40% in both. I've tried ylim() which doesn't work on the percentage scale. Example below
library(ggplot2)
library(scales)
data("diamonds")
First bar-plot for cut
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label =
scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Cut") + theme(plot.title = element_text(hjust = 0.5, size=14,
face="bold")) +
xlab("Cut") +
ylab("Percent") +
theme(legend.position="bottom")
Second bar-plot for clarity
p1<- ggplot(diamonds, aes(x = clarity)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=clarity)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label =
scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Clarity") + theme(plot.title = element_text(hjust = 0.5, size=14,
face="bold")) +
xlab("Clarity") +
ylab("Percent") +
theme(legend.position="bottom")
Arranging bar-plot with different scales
grid.arrange(p,p1, ncol = 2)
different scales but I would like for example both at 40% top
If scales weren't percentages I would do this:
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
scale_y_continuous(labels = percent) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
xlab("Cut") +
ylab("Percent") +
ylim(0, 40)
theme(legend.position="bottom")
But here, of course, it doesn't work and returns this:
r ggplot2 bar-chart percentage
r ggplot2 bar-chart percentage
edited Nov 16 '18 at 22:07
aosmith
21.7k44671
21.7k44671
asked Nov 16 '18 at 12:24
MiaMia
634
634
useylim(0, 0.4)
– Richard Telford
Nov 16 '18 at 12:47
Thanks! definitely better but I lose the scale as integer and % which I kind of liked. Any idea how to preserve that?
– Mia
Nov 16 '18 at 13:06
The ylim replaced the existing scale - your solution fixed that
– Richard Telford
Nov 16 '18 at 15:32
add a comment |
useylim(0, 0.4)
– Richard Telford
Nov 16 '18 at 12:47
Thanks! definitely better but I lose the scale as integer and % which I kind of liked. Any idea how to preserve that?
– Mia
Nov 16 '18 at 13:06
The ylim replaced the existing scale - your solution fixed that
– Richard Telford
Nov 16 '18 at 15:32
use
ylim(0, 0.4)
– Richard Telford
Nov 16 '18 at 12:47
use
ylim(0, 0.4)
– Richard Telford
Nov 16 '18 at 12:47
Thanks! definitely better but I lose the scale as integer and % which I kind of liked. Any idea how to preserve that?
– Mia
Nov 16 '18 at 13:06
Thanks! definitely better but I lose the scale as integer and % which I kind of liked. Any idea how to preserve that?
– Mia
Nov 16 '18 at 13:06
The ylim replaced the existing scale - your solution fixed that
– Richard Telford
Nov 16 '18 at 15:32
The ylim replaced the existing scale - your solution fixed that
– Richard Telford
Nov 16 '18 at 15:32
add a comment |
1 Answer
1
active
oldest
votes
Ok I found a way, here the code for Cut for a % scale limited to 60%
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Diamonds Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
scale_y_continuous(labels = scales::percent, limits=c(0,0.6)) + labs(y="Percent")
xlab("Cut") +
theme(legend.position="bottom")
p
add a comment |
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1 Answer
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active
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votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Ok I found a way, here the code for Cut for a % scale limited to 60%
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Diamonds Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
scale_y_continuous(labels = scales::percent, limits=c(0,0.6)) + labs(y="Percent")
xlab("Cut") +
theme(legend.position="bottom")
p
add a comment |
Ok I found a way, here the code for Cut for a % scale limited to 60%
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Diamonds Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
scale_y_continuous(labels = scales::percent, limits=c(0,0.6)) + labs(y="Percent")
xlab("Cut") +
theme(legend.position="bottom")
p
add a comment |
Ok I found a way, here the code for Cut for a % scale limited to 60%
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Diamonds Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
scale_y_continuous(labels = scales::percent, limits=c(0,0.6)) + labs(y="Percent")
xlab("Cut") +
theme(legend.position="bottom")
p
Ok I found a way, here the code for Cut for a % scale limited to 60%
p<- ggplot(diamonds, aes(x = cut)) +
geom_bar(aes(y = (..count..)/sum(..count..), fill=cut)) +
geom_text(aes(y = ((..count..)/sum(..count..)), label = scales::percent((..count..)/sum(..count..))),
stat = "count", vjust = -0.25) +
ggtitle("Diamonds Cut") + theme(plot.title = element_text(hjust = 0.5, size=14, face="bold")) +
scale_y_continuous(labels = scales::percent, limits=c(0,0.6)) + labs(y="Percent")
xlab("Cut") +
theme(legend.position="bottom")
p
answered Nov 16 '18 at 13:41
MiaMia
634
634
add a comment |
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use
ylim(0, 0.4)
– Richard Telford
Nov 16 '18 at 12:47
Thanks! definitely better but I lose the scale as integer and % which I kind of liked. Any idea how to preserve that?
– Mia
Nov 16 '18 at 13:06
The ylim replaced the existing scale - your solution fixed that
– Richard Telford
Nov 16 '18 at 15:32