A Scatterplot displays the relationship
between 2 numeric variables. Each dot represents an observation. Their
position on the X (horizontal) and Y (vertical) axis represents the
values of the 2 variables. Using
ggplot2, scatterplots are built thanks to the geom_point
geom.
If you're not familiar with ggplot2 at all, try
this course
as an introduction.
ggplot2
package
Scatterplots are built with
ggplot2 thanks to the
geom_point()
function. Discover a basic use case in
graph #272, and
learn how to custom it with next examples below.
Base R is also a good option to build a scatterplot, using the
plot()
function. The
chart #13 below will guide you
through its basic usage. Following examples allow a greater level of
customization.
A Manhattan plot is a particular type of scatterplot used in genomics. The X axis displays the position of a genetic variant on the genome. Each chromosome is usually represented using a different color. The Y axis shows p-value of the association test with a phenotypic trait.
The web is full of astonishing R charts made by awesome bloggers. The R graph gallery tries to display some of the best creations and explain how their source code works. If you want to display your work here, please drop me a word or even better, submit a Pull Request!