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Lines graph, also known as line charts or line plots, display ordered data points connected with straight segments. In this tutorial you will learn how to plot line graphs in base R using the plot, lines, matplot, matlines and curve functions and how to modify the style of the resulting plots.
How to create a line graph in the R programming language - 8 example codes - Reproducible syntax in RStudio - Base R vs. ggplot2 line plot
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() can be used.
Line graphs can be made with discrete (categorical) or continuous (numeric) variables on the x-axis. In the example here, the variable demand is numeric, but it could be treated as a categorical variable by converting it to a factor with factor() (Figure 4.2).
You should now have a solid understanding of how to use R to plot line graphs using ggplot and geom_line! Experiment with the things you've learned to solidify your understanding. As an exercise, try producing a line graph of your own using a different dataset and at least one of the aesthetic mappings you learned about.
Today you’ve learned how to make line charts and how to make them aesthetically pleasing. You’ve learned how to change colors, line width and type, titles, subtitles, captions, axis labels, and much more. You are now ready to include line charts in your reports and dashboards.
This post is a step by step introduction to line chart with R and ggplot2. It provides several reproducible examples with explanation and R code.
