How to Order a geom_bar plot in r by a third category
I have a dataframe with 3 categories and I want to make a bar plot with count on the Y axis and seq on the x-axis, but ordered by depth (which goes much higher than 2) but I cannot figure out how to do it.
s <- df
head(s)
count depth seq
1 10 1 A
2 20 2 AA
3 30 1 TT
4 25 3 C
5 40 2 AAA
6 12 2 G
This is my feeble attempt:
ggplot(data = s, aes(x=as.factor(s$seq), y=count, color = depth)) +
geom_bar(stat="identity")
It goes without saying but I'm not very good at coding.
Thanks
r bioinformatics
add a comment |
I have a dataframe with 3 categories and I want to make a bar plot with count on the Y axis and seq on the x-axis, but ordered by depth (which goes much higher than 2) but I cannot figure out how to do it.
s <- df
head(s)
count depth seq
1 10 1 A
2 20 2 AA
3 30 1 TT
4 25 3 C
5 40 2 AAA
6 12 2 G
This is my feeble attempt:
ggplot(data = s, aes(x=as.factor(s$seq), y=count, color = depth)) +
geom_bar(stat="identity")
It goes without saying but I'm not very good at coding.
Thanks
r bioinformatics
add a comment |
I have a dataframe with 3 categories and I want to make a bar plot with count on the Y axis and seq on the x-axis, but ordered by depth (which goes much higher than 2) but I cannot figure out how to do it.
s <- df
head(s)
count depth seq
1 10 1 A
2 20 2 AA
3 30 1 TT
4 25 3 C
5 40 2 AAA
6 12 2 G
This is my feeble attempt:
ggplot(data = s, aes(x=as.factor(s$seq), y=count, color = depth)) +
geom_bar(stat="identity")
It goes without saying but I'm not very good at coding.
Thanks
r bioinformatics
I have a dataframe with 3 categories and I want to make a bar plot with count on the Y axis and seq on the x-axis, but ordered by depth (which goes much higher than 2) but I cannot figure out how to do it.
s <- df
head(s)
count depth seq
1 10 1 A
2 20 2 AA
3 30 1 TT
4 25 3 C
5 40 2 AAA
6 12 2 G
This is my feeble attempt:
ggplot(data = s, aes(x=as.factor(s$seq), y=count, color = depth)) +
geom_bar(stat="identity")
It goes without saying but I'm not very good at coding.
Thanks
r bioinformatics
r bioinformatics
edited Nov 15 '18 at 5:07
jacky_learns_to_code
4712620
4712620
asked Nov 15 '18 at 1:07
ChrisChris
61
61
add a comment |
add a comment |
1 Answer
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votes
We can use the reorder()
function within the aes()
i.e
> ggplot(data = s, aes(x=reorder(as.factor(seq), -depth), y=count, fill = depth)) +
geom_bar(stat = 'identity')
Data:
> dput(s)
structure(list(count = c(10, 20, 30, 25, 40, 12), depth = c(1,
2, 1, 3, 2, 2), seq = structure(c(1L, 2L, 6L, 4L, 3L, 5L), .Label = c("A",
"AA", "AAA", "C", "G", "TT"), class = "factor")), .Names = c("count",
"depth", "seq"), row.names = c(NA, -6L), class = "data.frame")
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
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active
oldest
votes
We can use the reorder()
function within the aes()
i.e
> ggplot(data = s, aes(x=reorder(as.factor(seq), -depth), y=count, fill = depth)) +
geom_bar(stat = 'identity')
Data:
> dput(s)
structure(list(count = c(10, 20, 30, 25, 40, 12), depth = c(1,
2, 1, 3, 2, 2), seq = structure(c(1L, 2L, 6L, 4L, 3L, 5L), .Label = c("A",
"AA", "AAA", "C", "G", "TT"), class = "factor")), .Names = c("count",
"depth", "seq"), row.names = c(NA, -6L), class = "data.frame")
add a comment |
We can use the reorder()
function within the aes()
i.e
> ggplot(data = s, aes(x=reorder(as.factor(seq), -depth), y=count, fill = depth)) +
geom_bar(stat = 'identity')
Data:
> dput(s)
structure(list(count = c(10, 20, 30, 25, 40, 12), depth = c(1,
2, 1, 3, 2, 2), seq = structure(c(1L, 2L, 6L, 4L, 3L, 5L), .Label = c("A",
"AA", "AAA", "C", "G", "TT"), class = "factor")), .Names = c("count",
"depth", "seq"), row.names = c(NA, -6L), class = "data.frame")
add a comment |
We can use the reorder()
function within the aes()
i.e
> ggplot(data = s, aes(x=reorder(as.factor(seq), -depth), y=count, fill = depth)) +
geom_bar(stat = 'identity')
Data:
> dput(s)
structure(list(count = c(10, 20, 30, 25, 40, 12), depth = c(1,
2, 1, 3, 2, 2), seq = structure(c(1L, 2L, 6L, 4L, 3L, 5L), .Label = c("A",
"AA", "AAA", "C", "G", "TT"), class = "factor")), .Names = c("count",
"depth", "seq"), row.names = c(NA, -6L), class = "data.frame")
We can use the reorder()
function within the aes()
i.e
> ggplot(data = s, aes(x=reorder(as.factor(seq), -depth), y=count, fill = depth)) +
geom_bar(stat = 'identity')
Data:
> dput(s)
structure(list(count = c(10, 20, 30, 25, 40, 12), depth = c(1,
2, 1, 3, 2, 2), seq = structure(c(1L, 2L, 6L, 4L, 3L, 5L), .Label = c("A",
"AA", "AAA", "C", "G", "TT"), class = "factor")), .Names = c("count",
"depth", "seq"), row.names = c(NA, -6L), class = "data.frame")
answered Nov 15 '18 at 1:49
jacky_learns_to_codejacky_learns_to_code
4712620
4712620
add a comment |
add a comment |
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