How to save a plot using ggplot2 in R?
Last Updated :
17 Jun, 2021
In this article, we are going to see how to save GGPlot in R Programming language. ggplot2 is a plotting package in R that is used to create complex plots from data specified in a data frame. It provides a more programmatic interface for specifying which variables to plot on to the graphical device, how they are displayed, and general visual properties. The package can be installed and downloaded into the working space using the following syntax :
install.packages("ggplot2")
The ggplot() method is used to create different types of plots on the screen. It is used to bind a data frame to the data argument of the plot. It is used to also define the aesthetics and component mappings using the aes() attribute of the graph. It is used to create complex plots by selecting which variables are to be plotted and how to present them in the graph, for instance, the coordinates, shape, color, etc. The graphical representations can also be created in the form of geoms specific to the type of plot to be created.
ggplot (data , mapping = aes(x, y)) + geom_point()
Method 1: Using ggsave()
The ggsave() is a method in the ggplot2 package which is used for saving the last plot that was displayed in the screen. It also makes assumption about the type of graphics device from the specified extension. The filename needs to be specified into the function call. The plot can be saved with both a .png or .pdf extension.
Syntax: ggsave( filename, plot = last_plot(), width = NA, height = NA, units = c("in", "cm", "mm"), path )
Arguments :
- filename - The character string name to assign to the plot
- plot - By default, it is used to save the last displayed plot.
- width, height, units - The dimensions of the plot
- path - The path to save the image can also be specified
Code:
R
# importing the reqd libraries
library(ggplot2)
# defining the x and y coordinates
xpos <- 1:5
ypos <- xpos**3
# creating a data frame
data_frame <- data.frame(xpos = xpos, ypos = ypos)
# creating a plot
graph <- ggplot(data_frame, aes(xpos,ypos)) +
geom_point()
# saving the plot as pdf
ggsave("cubegfg.pdf", graph, path = "/Users/mallikagupta/Desktop")
Output
Saving 7.47 x 5.96 in image
The plot can also be saved to the working space without using the ggsave() method. The png() method in R can be used to save a ggplot in the png format into the specified directory. The name of the plot along with the path name can be specified as an argument of the method.
png(plot-path)
Method 2: Using dev.off()
The dev.off() method is then used to terminate this graphical device window and save the plot.
R
# importing the reqd libraries
library(ggplot2)
# defining the x and y coordinates
xpos <- 1:5
ypos <- xpos**3
# creating a data frame
data_frame <- data.frame(xpos = xpos, ypos = ypos)
# creating a plot
graph <- ggplot(data_frame, aes(xpos,ypos)) +
geom_point()
png("Check.png")
print(graph)
dev.off()
Output:
Similar Reads
Non-linear Components In electrical circuits, Non-linear Components are electronic devices that need an external power source to operate actively. Non-Linear Components are those that are changed with respect to the voltage and current. Elements that do not follow ohm's law are called Non-linear Components. Non-linear Co
11 min read
Spring Boot Tutorial Spring Boot is a Java framework that makes it easier to create and run Java applications. It simplifies the configuration and setup process, allowing developers to focus more on writing code for their applications. This Spring Boot Tutorial is a comprehensive guide that covers both basic and advance
10 min read
Class Diagram | Unified Modeling Language (UML) A UML class diagram is a visual tool that represents the structure of a system by showing its classes, attributes, methods, and the relationships between them. It helps everyone involved in a projectâlike developers and designersâunderstand how the system is organized and how its components interact
12 min read
Steady State Response In this article, we are going to discuss the steady-state response. We will see what is steady state response in Time domain analysis. We will then discuss some of the standard test signals used in finding the response of a response. We also discuss the first-order response for different signals. We
9 min read
Backpropagation in Neural Network Back Propagation is also known as "Backward Propagation of Errors" is a method used to train neural network . Its goal is to reduce the difference between the modelâs predicted output and the actual output by adjusting the weights and biases in the network.It works iteratively to adjust weights and
9 min read
Polymorphism in Java Polymorphism in Java is one of the core concepts in object-oriented programming (OOP) that allows objects to behave differently based on their specific class type. The word polymorphism means having many forms, and it comes from the Greek words poly (many) and morph (forms), this means one entity ca
7 min read
3-Phase Inverter An inverter is a fundamental electrical device designed primarily for the conversion of direct current into alternating current . This versatile device , also known as a variable frequency drive , plays a vital role in a wide range of applications , including variable frequency drives and high power
13 min read
What is Vacuum Circuit Breaker? A vacuum circuit breaker is a type of breaker that utilizes a vacuum as the medium to extinguish electrical arcs. Within this circuit breaker, there is a vacuum interrupter that houses the stationary and mobile contacts in a permanently sealed enclosure. When the contacts are separated in a high vac
13 min read
AVL Tree Data Structure An AVL tree defined as a self-balancing Binary Search Tree (BST) where the difference between heights of left and right subtrees for any node cannot be more than one. The absolute difference between the heights of the left subtree and the right subtree for any node is known as the balance factor of
4 min read
CTE in SQL In SQL, a Common Table Expression (CTE) is an essential tool for simplifying complex queries and making them more readable. By defining temporary result sets that can be referenced multiple times, a CTE in SQL allows developers to break down complicated logic into manageable parts. CTEs help with hi
6 min read