add legend to a scatterplot with automatic assignment in R
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I'm working withThe AndersonIrisData set.How do i Make a scatter plot With A legend That automatically Corresponds To The filled in Values?
i have
plot(Petal.Length,col=Species)
legend(x="bottomright",legend = c('setosa','versicolor','virginica'))
it makes an incomplete legend
r
add a comment |
I'm working withThe AndersonIrisData set.How do i Make a scatter plot With A legend That automatically Corresponds To The filled in Values?
i have
plot(Petal.Length,col=Species)
legend(x="bottomright",legend = c('setosa','versicolor','virginica'))
it makes an incomplete legend
r
add a comment |
I'm working withThe AndersonIrisData set.How do i Make a scatter plot With A legend That automatically Corresponds To The filled in Values?
i have
plot(Petal.Length,col=Species)
legend(x="bottomright",legend = c('setosa','versicolor','virginica'))
it makes an incomplete legend
r
I'm working withThe AndersonIrisData set.How do i Make a scatter plot With A legend That automatically Corresponds To The filled in Values?
i have
plot(Petal.Length,col=Species)
legend(x="bottomright",legend = c('setosa','versicolor','virginica'))
it makes an incomplete legend
r
r
asked Jan 3 at 22:34
SebastianSebastian
360214
360214
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
This works:
legend(x="bottomright",legend = c('setosa','versicolor','virginica'),
col = unique(iris$Species), lty = 1)
You need to specify both col
and lty
for it to work. Note that colors will be assigned in the order of unique(iris$Species)
so if you were to re-sort iris
a different way, your colors may not match.
You can also do this with ggplot2
which provides a more friendly syntax for plotting, along with automatically generating legends:
library(tidyverse)
iris %>% mutate(ID = row_number()) %>%
ggplot(aes(ID,Petal.Length, color = Species)) + geom_point()
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
This works:
legend(x="bottomright",legend = c('setosa','versicolor','virginica'),
col = unique(iris$Species), lty = 1)
You need to specify both col
and lty
for it to work. Note that colors will be assigned in the order of unique(iris$Species)
so if you were to re-sort iris
a different way, your colors may not match.
You can also do this with ggplot2
which provides a more friendly syntax for plotting, along with automatically generating legends:
library(tidyverse)
iris %>% mutate(ID = row_number()) %>%
ggplot(aes(ID,Petal.Length, color = Species)) + geom_point()
add a comment |
This works:
legend(x="bottomright",legend = c('setosa','versicolor','virginica'),
col = unique(iris$Species), lty = 1)
You need to specify both col
and lty
for it to work. Note that colors will be assigned in the order of unique(iris$Species)
so if you were to re-sort iris
a different way, your colors may not match.
You can also do this with ggplot2
which provides a more friendly syntax for plotting, along with automatically generating legends:
library(tidyverse)
iris %>% mutate(ID = row_number()) %>%
ggplot(aes(ID,Petal.Length, color = Species)) + geom_point()
add a comment |
This works:
legend(x="bottomright",legend = c('setosa','versicolor','virginica'),
col = unique(iris$Species), lty = 1)
You need to specify both col
and lty
for it to work. Note that colors will be assigned in the order of unique(iris$Species)
so if you were to re-sort iris
a different way, your colors may not match.
You can also do this with ggplot2
which provides a more friendly syntax for plotting, along with automatically generating legends:
library(tidyverse)
iris %>% mutate(ID = row_number()) %>%
ggplot(aes(ID,Petal.Length, color = Species)) + geom_point()
This works:
legend(x="bottomright",legend = c('setosa','versicolor','virginica'),
col = unique(iris$Species), lty = 1)
You need to specify both col
and lty
for it to work. Note that colors will be assigned in the order of unique(iris$Species)
so if you were to re-sort iris
a different way, your colors may not match.
You can also do this with ggplot2
which provides a more friendly syntax for plotting, along with automatically generating legends:
library(tidyverse)
iris %>% mutate(ID = row_number()) %>%
ggplot(aes(ID,Petal.Length, color = Species)) + geom_point()
edited Jan 3 at 22:48
answered Jan 3 at 22:40
Mako212Mako212
4,3171927
4,3171927
add a comment |
add a comment |
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