Contour Plot in R
Contour plots are a powerful tool for visualizing three-dimensional data in two dimensions, where lines represent levels of equal value. They are particularly useful in fields like meteorology, geography, and any discipline that requires analysis of spatial data. This guide will show you how to create contour plots in R Programming Language using various functions and packages.
Basic Contour Plot with Base R
R’s base graphics package provides a straightforward way to create contour plots using the contour() function. Let’s start with a simple example using a mathematical function.
# Define a grid of points
x <- seq(-10, 10, length.out = 100)
y <- seq(-10, 10, length.out = 100)
# Create a matrix of z values
z <- outer(x, y, function(x, y) { sin(sqrt(x^2 + y^2)) })
# Plot the contour
contour(x, y, z, main = "Basic Contour Plot", xlab = "X-axis", ylab = "Y-axis")
Output:
Contour Plot in R
- x and y define the grid of points.
- z is a matrix of function values computed over the grid.
- contour(x, y, z) generates the contour plot.
Contour Plot in R
In this article, we will discuss Contour Plot and different ways to create a Contour Plot in the R Programming Language.
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