How to utilize ggplot to visualise Data (scatter plots) in R¶
In [1]:
# Snippet_251
# -------------------------------------------------------------
# How to utilize ggplot to visualise Data (scatter plots) in R
# -------------------------------------------------------------
# load libraries
library(caret)
library(mlbench)
library(reshape2)
library(ggplot2)
# load dataset
data(mtcars)
# Basic scatter plot
ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point()
# Change the point size, and shape
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point(size=2, shape=23)
# Change the point size
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point(aes(size=qsec))
# Add the regression line
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point()+
geom_smooth(method=lm)
# Remove the confidence interval
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point()+
geom_smooth(method=lm, se=FALSE)
# Loess method
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point()+
geom_smooth()
# Change the point colors and shapes
# Change the line type and color
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point(shape=18, color="blue")+
geom_smooth(method=lm, se=FALSE, linetype="dashed",
color="darkred")
# Change the confidence interval fill color
ggplot(mtcars, aes(x=wt, y=mpg)) +
geom_point(shape=18, color="blue")+
geom_smooth(method=lm, linetype="dashed",
color="darkred", fill="blue")
