#Multiple plots in one graph r how to#
#Multiple plots in one graph r code#

We will download USGS water data for use in this example from the USGS National Water Information System (NWIS) using the dataRetrieval package (you can learn more about dataRetrieval in this curriculum).

#Multiple plots in one graph r code#

First, setup your ggplot code as if you aren’t faceting. Sounds like a lot, but facets can make this very simple. You want three different plots in the same figure – a timeseries for each of the parameters with different colored symbols for the different sites. You have a ame with four columns: Date, site_no, parameter, and value. Let’s start by considering a set of graphs with a common x axis.

#Multiple plots in one graph r how to#

You write your ggplot2 code as if you were putting all of the data onto one plot, and then you use one of the faceting functions to specify how to slice up the graph. When you are creating multiple plots and they share axes, you should consider using facet functions from ggplot2 ( facet_grid, facet_wrap). Multiple plots in one figure using ggplot2 and facets However, there are other methods to do this that are optimized for ggplot2 plots. You may have already heard of ways to put multiple R plots into a single figure – specifying mfrow or mfcol arguments to par, split.screen, and layout are all ways to do this. While ggplot2 has many useful features, this blog post will explore how to create figures with multiple ggplot2 plots. In the Introduction to R class, we have switched to teaching ggplot2 because it works nicely with other tidyverse packages (dplyr, tidyr), and can create interesting and powerful graphics with little code. Website with everything you want to know about ggplot2 by Selva Prabhakaran.

Intermediate plots (error bars, density plots, bar charts, multiple windows, saving to a file, etc) from University of Georgia.

Basic plots (histograms, boxplots, scatter plots, QQ plots) from University of Georgia.Another blog breaking down basic plotting from FlowingData.Breakdown of how to create a plot from R-bloggers.The Introduction to R curriculum summarizes some of the most used plots, but cannot begin to expose people to the breadth of plot options that exist.There are existing resources that are great references for plotting in R: R can create almost any plot imaginable and as with most things in R if you don’t know where to start, try Google.