R language comes with a graphics package with a generic function called plot(), which is versatile and can be used to create different types of (X, Y) plots with points and lines.

**plot function in R**

The **plot in R** is a **built-in generic method** for plotting objects. The plot() isn’t a single defined function but a placeholder for a family of related functions. What I mean by this is that a plot has many optional arguments which can be passed according to the type of object passed and your requirement.

To plot a chart of an Object in R, use the plot() function. Point and line plots can be produced using the **x** and **y** points either as vectors or single numbers along with many other parameters.

**Syntax**

`plot(x, y, type, main, xlab, ylab, pch, col, las, bty, bg, cex, …)`

**Parameters**

The **x **is the coordinates of points in the plot.

The **y**** **is the coordinates of points in the plot.

**main:** It is an overall title for the plot.

**xlab:** It is a label for the x-axis.

**ylab:** It is the label for the y-axis.

**pch:** It is the shape of points.

**col:** It is the foreground color of symbols as well as lines.

**las:** It is the axes label style.

**bty:** It is the type of box round the plot area.

**bg:** It is the background color of symbols (only 21 through 25).

**cex:** It is an amount of scaling plotting text and symbols.

**… **They are the arguments to be passed to methods.

- “
**p**” for points plot,

- “
**l**” for a line plot,

- “
**b**” for both plots,

- “
**c**” for the part of the line alone of “b”,

- “
**o**” for both**“overplotted”**,

- “
**h**” for ‘histogram’ like (or “**high-density**“) vertical lines.

- “
**s**” for stair steps,

- “
**S**” for other steps, see ‘Details’ below,

- “
**n**” for no plotting.

**Example**

Let’s use the equation **y = x^3**. This means we will define two vectors, x, y, and y is the cube of x.

```
x <- c(1, 2, 3, 4, 5)
y <- c(1, 8, 27, 64, 125)
```

Now, let’s plot the y = x^3 values on the line plot. To create a line plot, pass the parameter type = “l” inside the plot function.

```
x <- c(1, 2, 3, 4, 5)
y <- c(1, 8, 27, 64, 125)
plot(x, y, type = "l")
```

**Output**

And we get the line chart of the **y = x^3** function.

If we don’t pass the **type = “l”** in the argument, it will return the points plot. By default, the plot() function returns **point plot.**

**Plot the cos() function in R**

To calculate the cosine value in R, use the cos() function. Next, we plot the sine function using the **pi** **constant** from the range **-pi** to **pi**.

```
x <- seq(-pi, pi, 0.1)
plot(x, cos(x))
```

**Output**

**Adding Titles and Labeling Axes**

To add a title to our plot, use the **main **parameter and pass the name of your choice.

To label the x and y-axis, use the **xlab** and **ylab** arguments.

```
x <- seq(-pi, pi, 0.1)
plot(x, cos(x), main = "Cos Function", ylab = "cos(x)")
```

**Output**

On the y -axis, you can see the label name cos(x).

**Changing the symbols and colors of a plot in R**

We can see above that the plot is of circular points and black in color. This is the default color.

Let’s change the symbol using the **pch **parameter and use the **col **parameter for choosing the color.

```
x <- seq(-pi, pi, 0.1)
plot(x, cos(x), pch = c(4, 5, 6), col = c("red", "blue", "violet", "green"))
```

**Output**

You can use the pch (plotting character) argument to specify symbols to use when plotting points. For example, for symbols 21 through 25, you can specify border color using col argument and fill color using bg argument.

**Plot multiple graphs into a single image in R**

To combine multiple graphs into a single image, use the **par()** function.

Let’s combine two graphs. 1st is a line chart, and 2nd is a point chart with different symbols and colors.

```
par(mfrow = c(1, 2))
x <- seq(-pi, pi, 0.1)
plot(x, cos(x), type="l")
plot(x, cos(x), pch = c(4, 5, 6), col = c("red", "blue", "violet", "green"))
```

**Output**

You can also add more graphs using the par() function. For example, let’s add six graphs in one image in R.

```
par(mfrow = c(2, 3))
x <- seq(-pi, pi, 0.1)
plot(x, cos(x), type = "l")
plot(x, cos(x), pch = c(4, 5, 6), col = c("red", "blue", "violet", "green"))
plot(x, x ^ 3, col = "red", type = "l")
m <- 0.8
c <- 2
plot(x, m * x + c, col = "green", type = "o", lwd = 2, lty = 1)
plot(x, log(x), col = "violet", type = "s")
plot(x, exp(x), col = "red", type = "b")
```

**Output**

**Overlaying Plots Using legend() function in R**

In some cases, we need to overlay the plots to compare the results. To overlay the plot, use the **lines()** and **points()** methods to add lines and points, respectively, to the existing plot.

```
x <- seq(-pi, pi, 0.1)
plot(x, cos(x), type = "l",
main = "Overlaying Charts",
ylab = "",
col = "red")
lines(x, sin(x), col = "blue")
legend("topleft", c("sin(x)", "cos(x)"), fill = c("blue", "red"))
```

**Output**

The legend() function in R is used to display the legend appropriately.

**Adding Lines to a Plot in R**

To add the straight line to the existing plot, use the **abline()** function.

The abline() is an inbuilt R method that takes four parameters, a, b, h, and v. The variables **a** and **b** represent the slope and intercept. The **h** represents the y points for horizontal lines, and **v** represents the x points for vertical lines.

```
x <- seq(1, 10, 2)
y1 <- x ^ 2
y2 <- x ^ 3
plot(x, y1, type = "l", col = "red")
lines(x, y2, col = "green")
legend("bottomright", inset = 0.05, c("Squares", "Cubes"),
lty = 1, col = c("red", "green"),
title = "Graph type")
abline(a = 4, b = 5, col = "blue")
abline(h = c(4, 6, 8), col = "red", lty = 2)
abline(v = c(4, 6, 8), col = "green", lty = 2)
```

**Output**

**Create a Simple Plot using the dataset**

R provides many inbuilt datasets, and for this example, we will use the **pressure dataset. **The pressure dataset contains observations of the vapor pressure of mercury over a range of temperatures.

`head(pressure)`

**Output**

** temperature** **pressure**
1 0 0.0002
2 20 0.0012
3 40 0.0060
4 60 0.0300
5 80 0.0900
6 100 0.2700

To create a plot of the dataset, use the plot() function.

`plot(pressure, type="l")`

**Output**

Here, we have plotted the line graph, but if you don’t pass type=”l,” it will create a point chart.

`plot(pressure)`

**Output**

To modify the size of the plotted characters, use** cex (character expansion)** argument.

`plot(pressure, cex = 2)`

**Output**

**The Axes Label Style**

By specifying the las (label style) argument, you can change the axes label style. This changes the orientation angle of the labels.

See the following table of values.

Value |
Description |

0 | The default, parallel to the axis. |

1 | Always horizontal. |

2 | Perpendicular to the axis. |

3 | Always vertical. |

See the following example.

**The Box Type of a Plot in R**

To specify the box type in R, use the bty (box type) argument to change the type of box round the plot area.

See the following table of values.

Value |
Description |

“o” | It is the default argument and draws the complete rectangle around the plot. |

“n” | It draws nothing around the plot. |

“l”, “7”, “c”, “u”, or “]” | It draws the shape around the plot area. |

**Output**

**Add a Grid to a plot in R**

To add a grid to a plot in R, use the grid() function to draw the grid once you call the **plot()**.

You can see the light-dotted line of a grid in the plot.

**Save a Plot to an Image File**

To save a plot to an image file in R, do the following things in order.

- Call a function to open a new graphics file, such as
**png()**,**jpg()**or**pdf()**.

- Then, call the plot() function to generate the graphics image.

- At last, call the
**dev.off()**function to close the graphics file.

If you don’t provide an external path, then it will save in your current directory.

See the following code.

```
png(filename = "mp.png", width = 625, height = 400)
plot(pressure, col = "red", pch = 19, type = "b",
main = "Vapor Pressure of Mercury",
xlab = "Temperature (deg C)",
ylab = "Pressure (mm of Hg)")
dev.off()
```

**Output**

You check the downloaded png file inside your current directory.

**Conclusion**

In this example, we have seen what plot() function is, how to use the plot(is) function to create a point and line graph with different shapes, colors, with outbox, with box, with legend, with label values, and finally how to download the graph image.

That’s it for this tutorial.

Krunal Lathiya is an Information Technology Engineer by education and web developer by profession. He has worked with many back-end platforms, including Node.js, PHP, and Python. In addition, Krunal has excellent knowledge of Data Science and Machine Learning, and he is an expert in R Language. Krunal has written many programming blogs, which showcases his vast expertise in this field.