![]() Ggplot(ggpLong, aes(x = Month, y = Value, color = Category, group = Category)) + geom_line()Ĭreated on by the reprex package (v0.3. GgpLong % pivot_longer(cols = Eur:Tons, names_to = "Category", values_to = "Value") Geom_line(aes(y = Tons), colour = "blue", group = "Tons") Geom_line(aes(y = Eur), colour = "red", group = "Eur") + In this tutorial you’ll learn how to draw a ggplot2 line graph with labels at the end of each line in the R programming language. ggp Warning: package 'ggplot2' was built under R version 4.0.5 Line colors and styles Basic line charts with geomline Given a data frame with a numerical variable x and a numerical variable y representing the value for each observation it is possible to create a line chart in ggplot with geomline as follows. ggplot is a package for creating graphs in R, but it's also a method of thinking about and decomposing complex graphs into logical subunits. ![]() I used a function from tidyr to reshape the data into the long format. Introduction to ggplot Before we dig into creating line graphs with the ggplot geomline function, I want to briefly touch on ggplot and why I think it's the best choice for plotting graphs in R. ![]() This is much easier to use when there are several groups because you do not have to write an explicit geom_line for every one. The second method is the standard way to plot multiple series with ggplot, using the data in a "long" format where one column labels which group applies to the data and another column hods the value.
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