How to select certain colours from a colour palette in R ggplot
I am making a bar plot similar to this in ggplot:
But I cannot easily see the lightest colour bars on projectors.
I would like to skip the lightest colour blue in the "Blues" palette and instead use colours 2:9 or 3:9 for plots.
I have used the iris dataset as an example:
df <- data.frame(iris,petal.colour=c("red","blue"), country=c("UK","France","Germany"))
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_brewer(palette = "Blues" ,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
It seems the common fix is to make the background darker, but this would look out of place with my other images and is therefore not an option. It is important I am also able to rename the legend, as the example.
Many thanks!
r ggplot2
asked Nov 13 '18 at 17:46
GeorgeGeorge
162
add a comment |
I am making a bar plot similar to this in ggplot:
But I cannot easily see the lightest colour bars on projectors.
I would like to skip the lightest colour blue in the "Blues" palette and instead use colours 2:9 or 3:9 for plots.
I have used the iris dataset as an example:
df <- data.frame(iris,petal.colour=c("red","blue"), country=c("UK","France","Germany"))
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_brewer(palette = "Blues" ,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
It seems the common fix is to make the background darker, but this would look out of place with my other images and is therefore not an option. It is important I am also able to rename the legend, as the example.
Many thanks!
r ggplot2
asked Nov 13 '18 at 17:46
GeorgeGeorge
162
Possible duplicate of Modify viridis palette in ggplot
– camille
Nov 13 '18 at 17:51
RColorBrewer::brewer.pal(9, 'Blues')gives the vector with all nine colors from 'Blues'
– Tjebo
Nov 13 '18 at 17:51
To clarify, in the question I marked as a duplicate, we were adding a color to the palette. In your case, you're removing a color. But it's the same working with adding or removing elements of a vector
– camille
Nov 13 '18 at 17:52
add a comment |
I am making a bar plot similar to this in ggplot:
But I cannot easily see the lightest colour bars on projectors.
I would like to skip the lightest colour blue in the "Blues" palette and instead use colours 2:9 or 3:9 for plots.
I have used the iris dataset as an example:
df <- data.frame(iris,petal.colour=c("red","blue"), country=c("UK","France","Germany"))
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_brewer(palette = "Blues" ,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
It seems the common fix is to make the background darker, but this would look out of place with my other images and is therefore not an option. It is important I am also able to rename the legend, as the example.
Many thanks!
r ggplot2
asked Nov 13 '18 at 17:46
GeorgeGeorge
162
I am making a bar plot similar to this in ggplot:
But I cannot easily see the lightest colour bars on projectors.
I would like to skip the lightest colour blue in the "Blues" palette and instead use colours 2:9 or 3:9 for plots.
I have used the iris dataset as an example:
df <- data.frame(iris,petal.colour=c("red","blue"), country=c("UK","France","Germany"))
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_brewer(palette = "Blues" ,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
It seems the common fix is to make the background darker, but this would look out of place with my other images and is therefore not an option. It is important I am also able to rename the legend, as the example.
Many thanks!
r ggplot2
r ggplot2
asked Nov 13 '18 at 17:46
GeorgeGeorge
162
asked Nov 13 '18 at 17:46
GeorgeGeorge
162
asked Nov 13 '18 at 17:46
GeorgeGeorge
162
asked Nov 13 '18 at 17:46
GeorgeGeorge
162
asked Nov 13 '18 at 17:46
GeorgeGeorge
162
162
Possible duplicate of Modify viridis palette in ggplot
– camille
Nov 13 '18 at 17:51
RColorBrewer::brewer.pal(9, 'Blues')gives the vector with all nine colors from 'Blues'
– Tjebo
Nov 13 '18 at 17:51
To clarify, in the question I marked as a duplicate, we were adding a color to the palette. In your case, you're removing a color. But it's the same working with adding or removing elements of a vector
– camille
Nov 13 '18 at 17:52
add a comment |
Possible duplicate of Modify viridis palette in ggplot
– camille
Nov 13 '18 at 17:51
RColorBrewer::brewer.pal(9, 'Blues')gives the vector with all nine colors from 'Blues'
– Tjebo
Nov 13 '18 at 17:51
To clarify, in the question I marked as a duplicate, we were adding a color to the palette. In your case, you're removing a color. But it's the same working with adding or removing elements of a vector
– camille
Nov 13 '18 at 17:52
Possible duplicate of Modify viridis palette in ggplot
– camille
Nov 13 '18 at 17:51
Possible duplicate of Modify viridis palette in ggplot
– camille
Nov 13 '18 at 17:51
RColorBrewer::brewer.pal(9, 'Blues') gives the vector with all nine colors from 'Blues'– Tjebo
Nov 13 '18 at 17:51
RColorBrewer::brewer.pal(9, 'Blues') gives the vector with all nine colors from 'Blues'– Tjebo
Nov 13 '18 at 17:51
To clarify, in the question I marked as a duplicate, we were adding a color to the palette. In your case, you're removing a color. But it's the same working with adding or removing elements of a vector
– camille
Nov 13 '18 at 17:52
To clarify, in the question I marked as a duplicate, we were adding a color to the palette. In your case, you're removing a color. But it's the same working with adding or removing elements of a vector
– camille
Nov 13 '18 at 17:52
add a comment |
1 Answer
1
active
oldest
votes
Here's one approach, where you predefine the palette as being the last 3 colors of a four-color Blue palette:
my_colors <- RColorBrewer::brewer.pal(4, "Blues")[2:4]
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_manual(values = my_colors,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
answered Nov 13 '18 at 17:52
Jon SpringJon Spring
5,9481625
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Here's one approach, where you predefine the palette as being the last 3 colors of a four-color Blue palette:
my_colors <- RColorBrewer::brewer.pal(4, "Blues")[2:4]
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_manual(values = my_colors,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
answered Nov 13 '18 at 17:52
Jon SpringJon Spring
5,9481625
add a comment |
Here's one approach, where you predefine the palette as being the last 3 colors of a four-color Blue palette:
my_colors <- RColorBrewer::brewer.pal(4, "Blues")[2:4]
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_manual(values = my_colors,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
answered Nov 13 '18 at 17:52
Jon SpringJon Spring
5,9481625
add a comment |
Here's one approach, where you predefine the palette as being the last 3 colors of a four-color Blue palette:
my_colors <- RColorBrewer::brewer.pal(4, "Blues")[2:4]
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_manual(values = my_colors,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
answered Nov 13 '18 at 17:52
Jon SpringJon Spring
5,9481625
Here's one approach, where you predefine the palette as being the last 3 colors of a four-color Blue palette:
my_colors <- RColorBrewer::brewer.pal(4, "Blues")[2:4]
ggplot(df, aes(petal.colour,Sepal.Length))+
geom_bar(stat = "identity",aes(fill=country))+
facet_wrap(~Species, ncol=3)+
scale_fill_manual(values = my_colors,
labels = c("French Flower", "German Flower","UK Flower"))+
theme_bw(base_size=18)
answered Nov 13 '18 at 17:52
Jon SpringJon Spring
5,9481625
answered Nov 13 '18 at 17:52
Jon SpringJon Spring
5,9481625
answered Nov 13 '18 at 17:52
Jon SpringJon Spring
5,9481625
answered Nov 13 '18 at 17:52
Jon SpringJon Spring
5,9481625
5,9481625
add a comment |
add a comment |
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Possible duplicate of Modify viridis palette in ggplot
– camille
Nov 13 '18 at 17:51
RColorBrewer::brewer.pal(9, 'Blues')gives the vector with all nine colors from 'Blues'– Tjebo
Nov 13 '18 at 17:51
To clarify, in the question I marked as a duplicate, we were adding a color to the palette. In your case, you're removing a color. But it's the same working with adding or removing elements of a vector
– camille
Nov 13 '18 at 17:52