# How to Fix the Aspect Ratio in ggplot2

Often you may want to adjust the aspect ratio of a plot created in ggplot2 so that the length and the width of the plot have a specific ratio.

The easiest way to do this is by using the coord_fixed() function with the following basic syntax:

```ggplot(df, aes(x=x, y=y)) +
geom_point() +
coord_fixed(ratio=10)
```

Note that the value provided to the ratio argument of the coord_fixed() function specifies the aspect ratio, expressed in terms of y/x.

In this particular example we use a ratio value of 10 to specify that the y-axis should have units that are 10 times longer than those on the x-axis.

Depending on the x-limits and y-limits of your plot, you may need to adjust the value provided to the ratio argument to make the plot easier to read.

The following examples shows how to fix the aspect ratio of a plot created in ggplot2 in practice.

## Example: How to Fix the Aspect Ratio in ggplot2

First, we will create the following data frame in R that contains 100 observations with measurements on one variable named x and another variable named y:

```#make this example reproducible
set.seed(1)

#create data frame
df <- data.frame(x=runif(100, 0, 50),
y=runif(100, 0, 10))

x        y
1 13.27543 6.547239
2 18.60619 3.531973
3 28.64267 2.702601
4 45.41039 9.926841
5 10.08410 6.334933
6 44.91948 2.132081```

Note that we used the runif() function in R to generate random values from a uniform distribution, using the following basic syntax:

runif(n, min, max)

where:

• n: Number of values to generate from uniform distribution
• min: Minimum value of uniform distribution
• max: Maximum value of uniform distribution

For the x variable, we specified that it should have a range between 0 and 50.

For the y variable, we specified that it should have a range between 0 and 10.

Suppose we use the following syntax to create a scatterplot to visualize the 100 observations in this dataset:

```library(ggplot2)

#create scatterplot to visualize x vs. y
ggplot(df, aes(x=x, y=y)) +
geom_point()
```

This produces the following plot:

Notice that the length of the x-axis and y-axis are both the same, despite representing different axis limits.

We can use the coord_fixed() argument with a ratio value of 1 to instead use the same units for both the x-axis and y-axis of the plot:

```library(ggplot2)

#create scatterplot to visualize x vs. y with fixed aspect ratio
ggplot(df, aes(x=x, y=y)) +
geom_point() +
coord_fixed(ratio=1)```

This produces the following plot:

Since the x variable has a range that is five times larger than the range for the y variable, the x-axis is five times larger than the y-axis.

This allows us to visualize the values in the scatterplot using the actual units from the dataset without distorting the data in any way.

Feel free to use a different value for the ratio argument of the coord_fixed() argument if you would like to use a different aspect ratio.

Note: You can find the complete documentation for the coord_fixed() function here.