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• Basic line plots
• Line plot with multiple groups

This R tutorial describes how to create line plots using R software and ggplot2 package.

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In a line graph, observations are ordered by x value and connected.

The functions geom_line(), geom_step(), or geom_path() can be used.

x value (for x axis) can be :

• date : for a time series data
• texts
• discrete numeric values
• continuous numeric values

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Data

Data derived from ToothGrowth data sets are used. ToothGrowth describes the effect of Vitamin C on tooth growth in Guinea pigs.

• len : Tooth length
• dose : Dose in milligrams (0.5, 1, 2)

Create line plots with points

Read more on line types : ggplot2 line types

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You can add an arrow to the line using the grid package :

Progressive downloader 4 6. Observations can be also connected using the functions geom_step() or geom_path() :

• geom_line : Connecting observations, ordered by x value
• geom_path() : Observations are connected in original order
• geom_step : Connecting observations by stairs

Data

Data derived from ToothGrowth data sets are used. ToothGrowth describes the effect of Vitamin C on tooth growth in Guinea pigs. Three dose levels of Vitamin C (0.5, 1, and 2 mg) with each of two delivery methods [orange juice (OJ) or ascorbic acid (VC)] are used :

• len : Tooth length
• dose : Dose in milligrams (0.5, 1, 2)
• supp : Supplement type (VC or OJ)

Create line plots

In the graphs below, line types, colors and sizes are the same for the two groups :

Change line types by groups

In the graphs below, line types and point shapes are controlled automatically by the levels of the variable supp :

It is also possible to change manually the line types using the function scale_linetype_manual().

You can read more on line types here : ggplot2 line types

If you want to change also point shapes, read this article : ggplot2 point shapes

Change line colors by groups

Line colors are controlled automatically by the levels of the variable supp :

It is also possible to change manually line colors using the functions :

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• scale_color_manual() : to use custom colors
• scale_color_brewer() : to use color palettes from RColorBrewer package
• scale_color_grey() : to use grey color palettes

Read more on ggplot2 colors here : ggplot2 colors

The allowed values for the arguments legend.position are : 'left','top', 'right', 'bottom'.

Read more on ggplot legend : ggplot2 legend

If the variable on x-axis is numeric, it can be useful to treat it as a continuous or a factor variable depending on what you want to do :

economics time series data sets are used :

Plots :

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The function below will be used to calculate the mean and the standard deviation, for the variable of interest, in each group :

Summarize the data :

The function geom_errorbar() can be used to produce a line graph with error bars :

This analysis has been performed using R software (ver. 3.1.2) and ggplot2 (ver. 1.0.0)

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