R Plot Function
In this article, you’ll learn to use plot function in R. It is used to make graphs according to the type of the object passed.
The most used plotting function in R programming is the
plot()function. It is a generic function, meaning, it has many methods which are called according to the type of object passed to
In the simplest case, we can pass in a vector and we will get a scatter plot of magnitude vs index. But generally, we pass in two vectors and a scatter plot of these points are plotted.
For example, the command
plot(c(1,2),c(3,5)) would plot the points
Here is a more concrete example where we plot a sine function form range
x <- seq(-pi,pi,0.1) plot(x, sin(x))
Adding Titles and Labeling Axes
We can add a title to our plot with the parameter
ylab can be used to label the x-axis and y-axis respectively.
plot(x, sin(x), main="The Sine Function", ylab="sin(x)")
Changing Color and Plot Type
We can see above that the plot is of circular points and black in color. This is the default color.
We can change the plot type with the argument
type. It accepts the following strings and has the given effect.
"p" - points "l" - lines "b" - both points and lines "c" - empty points joined by lines "o" - overplotted points and lines "s" and "S" - stair steps "h" - histogram-like vertical lines "n" - does not produce any points or lines
Similarly, we can define the color using
plot(x, sin(x), main="The Sine Function", ylab="sin(x)", type="l", col="blue")
Overlaying Plots Using legend() function
plot() multiple times will have the effect of plotting the current graph on the same window replacing the previous one.
However, sometimes we wish to overlay the plots in order to compare the results.
This is made possible with the functions
points() to add lines and points respectively, to the existing plot.
plot(x, sin(x), main="Overlaying Graphs", ylab="", type="l", col="blue") lines(x,cos(x), col="red") legend("topleft", c("sin(x)","cos(x)"), fill=c("blue","red") )
We have used the function
legend() to appropriately display the legend. Visit legend() function to learn more.
Also visit plot() function to learn more about different arguments
plot() function can take, and more examples.