The quick and easy-to-use function: qplot().Many examples of code and graphics are provided.Īs mentioned above, there are two main functions in ggplot2 package for generating graphics: This document describes how to create and customize different types of graphs using ggplot2. ggsave(“plot.png”, width = 5, height = 5), which saves the last plot in the current working directory.last_plot(), which returns the last plot to be modified.The generated plot can be kept as a variable and then printed at any time using the function print().Īfter creating plots, two other important functions are: The ggplot() function is more flexible and robust than qplot for building a plot piece by piece.qplot() is a quick plot function which is easy to use for simple plots.Two main functions, for creating plots, are available in ggplot2 package : a qplot() and ggplot() functions. Geometry corresponds to the type of graphics ( histogram, box plot, line plot, density plot, dot plot, ….).It can also be used to control the color, the size or the shape of points, the height of bars, etc…. ![]() ![]() Aesthetics is used to indicate x and y variables.The principal components of every plot can be defined as follow: The gg in ggplot2 means Grammar of Graphics, a graphic concept which describes plots by using a “grammar”.Īccording to ggplot2 concept, a plot can be divided into different fundamental parts : Plot = data + Aesthetics + Geometry. Ggplot2 is a powerful and a flexible R package, implemented by Hadley Wickham, for producing elegant graphics.
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