This R tutorial describes how to create line plots using R software and ggplot2 package.
In a line graph, observations are ordered by x value and connected.
'0 Art & Design January 7, 2018 1.0.0 4.0.3 and up ', '1 Art & Design;Pretend Play January 15, 2018 2.0.0 4.0.3 and up ', '2 Art & Design August 1, 2018 1.2.4 4.0.3 and up '.
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The functions geom_line(), geom_step(), or geom_path() can be used.
GGPlot2 Essentials for Great Data Visualization in R
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
You can add an arrow to the line using the grid package :
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 :
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 :
Change line size :
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Menumate 1 3. 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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