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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.
In a line graph, observations are ordered by x value and connected.
The functions geom_line(), geom_step(), or geom_path() Itrash 3 6 5 download free. can be used.
x value (for x axis) can be :
- date : for a time series data
- texts
- discrete numeric values
- continuous numeric values
Related Book:
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
Keep it 1 7 9 download free. 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 Apolloone photo video viewer 2 3 0. 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 :
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 :
![Versatil Versatil](https://static.macupdate.com/screenshots/105994/m/versatil-markdown-screenshot.png?v=1599383238)
This analysis has been performed using R software (ver. 3.1.2) and ggplot2 (ver. 1.0.0)
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