Title | Ggplot 2 - Essentials - Easy Guides - Wiki - Sthda |
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Author | Serkaft Omer |
Course | MSc Bioinformatics |
Institution | Nottingham Trent University |
Pages | 24 |
File Size | 1.5 MB |
File Type | |
Total Downloads | 27 |
Total Views | 134 |
.While Loop and Until Loop - Bioinformatics for Biologists - Wellcome Genome Campus Advanced Courses and Scientific Conferences...
3/17/2021
ggplot2 - Essentials - Easy Guides - Wiki - STHDA
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Home / Easy Guides / R software / Data Visualization / ggplot2 - Essentials
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ggplot2 - Essentials Tools
Introduction ggplot2 is a powerful and a exible R package, implemented by Hadley Wickham, for producing elegant graphics. The concept behind ggplot2 divides plot into three dierent fundamental parts: Plot = data + Aesthetics + Geometry. The principal components of every plot can be dened as follow: data is a data frame Aesthetics is used to indicate x and y variables. It can also be used to control the color, the size or the shape of points, the height of bars, etc….. Geometry denes the type of graphics (histogram, box plot, line plot, density plot, dot plot, ….) There are two major functions in ggplot2 package: qplot() and ggplot() functions. qplot() stands for quick plot, which can be used to produce easily simple plots. ggplot() function is more exible and robust than qplot for building a plot piece by piece. This document provides R course material for producing dierent types of plots using ggplot2. www.sthda.com/english/wiki/ggplot2-essentials
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3/17/2021
ggplot2 - Essentials - Easy Guides - Wiki - STHDA
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Install and load ggplot2 package # Installation install.packages('ggplot2') # Loading library(ggplot2)
Data format and preparation
The data should be a data.frame (columns are variables and rows are observations). The data set mtcars is used in the examples below: # Load the data data(mtcars) df...