Often you may want to plot multiple columns from a data frame in R. Fortunately this is easy to do using the visualization library ggplot2. This tutorial shows how to use ggplot2 to plot multiple columns of a data frame on the same graph and on different graphs.
The following code shows how to generate a data frame, then “melt” the data frame into a long format, then use ggplot2 to create a line plot for each column in the data frame:
#load necessary libraries library(ggplot2) library(reshape2) #create data frame df #melt data frame into long format df vars = 'index', variable.name = 'series') #create line plot for each column in data frame ggplot(df, aes(index, value)) + geom_line(aes(colour = series))
The following code shows how to generate a data frame, then “melt” the data frame into a long format, then use ggplot2 to create a line plot for each column in the data frame, splitting up each line into its own plot:
#load necessary libraries library(ggplot2) library(reshape2) #create data frame df #melt data frame into long format df vars = 'index', variable.name = 'series') #create line plot for each column in data frame ggplot(df, aes(index, value)) + geom_line() + facet_grid(series ~ .)
Hey there. My name is Zach Bobbitt. I have a Masters of Science degree in Applied Statistics and I’ve worked on machine learning algorithms for professional businesses in both healthcare and retail. I’m passionate about statistics, machine learning, and data visualization and I created Statology to be a resource for both students and teachers alike. My goal with this site is to help you learn statistics through using simple terms, plenty of real-world examples, and helpful illustrations.
