This tutorial shows how toadd title to a ggplot. The functionlabs()is used. Related Book GGPlot2 Essentials for Great Data Visualization in R Prerequisites Load required packages and set the theme functiontheme_minimal()as the default theme: ...
In order to use the functions of the ggplot2 and ggvenn add-on packages, we need to install and load the two packages in R: install.packages("ggplot2")# Install & load ggplot2 packagelibrary("ggplot2")install.packages("ggvenn")# Install & load ggvennlibrary("ggvenn") ...
In this article, you will learn how to modify ggplot labels, including main title, subtitle, axis labels, caption, legend titles and tag.
We typically see them in statistics, used to display the amount of a specific type of variable that appears within a certain range. For example, your old math teacher may have used a histogram to visualize the number of marks obtained for all the people in your class. Figure 1: An ...
How to Make a Histogram with ggplot2 Now we can create the histogram. Regardless of the type of graph we are creating in ggplot2, we always start with the ggplot() function, which creates a canvas to add plot elements to. It takes two parameters. The first argument is a data frame....
Usingggplot2, 2 main functions are available for that kind of annotation: geom_textto add a simple piece of text geom_labelto add a label: framed text Note that theannotate()function is a good alternative that can reduces the code length for simple cases. ...
library(ggplot2) # Create a basic bar pie = ggplot(df, aes(x="", y=share, fill=brand)) + geom_bar(stat="identity", width=1) # Convert to pie (polar coordinates) and add labels pie = pie + coord_polar("y", start=0) + geom_text(aes(label = paste0(round(value*100), "%...
GGplot2 Library below is the ggplot2 library which helps to draw line graph in R are as follows: 1. Simple Line Graph R Code: temp = c(4, 25, 50, 85, 100) enzyme_activity = c(0.543, 0.788, 0.800, 0.898, 0.882) df <- as.data.frame(cbind(temp,enzyme_activity)) ...
library(ggpubr) library(rstatix) # Transform `dose` into factor variable df <- ToothGrowth df$dose <- as.factor(df$dose) head(df, 3) # Create a bar plot with error bars (mean +/- sd) bp2 <- ggbarplot( df, x = "dose", y = "len", add = "mean_sd", color = "supp",...
Do you want to make stunning data visualizations? Now you can — Here’s a complete guide to an amazing ggplot boxplot in R.