How can I create a scatter plot using ggplot2 in R?
To create a scatter plot in ggplot2, you can use the ggplot()
function along with geom_point()
. Here's a basic example:
library(ggplot2)
data(mtcars)
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point() +
labs(title='Scatter Plot of Weight vs MPG', x='Weight', y='Miles Per Gallon')
What if I want to change the color of the points?
You can change the color of the points by adding the color
aesthetic inside the aes()
function. For example:
ggplot(mtcars, aes(x=wt, y=mpg, color=gear)) +
geom_point() +
labs(title='Scatter Plot of Weight vs MPG by Gear', x='Weight', y='Miles Per Gallon')
How do I add a regression line to the scatter plot?
You can add a regression line using geom_smooth()
. Here's how you can do it:
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point() +
geom_smooth(method='lm', se=FALSE, color='blue') +
labs(title='Scatter Plot with Regression Line', x='Weight', y='Miles Per Gallon')
Can I save the plot as an image file?
Yes, you can save the plot using the ggsave()
function. For example:
ggsave('scatter_plot.png')
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