# theme_economist() Function – Change ggplot2 Theme in R (4 Examples)

In this article, I’ll demonstrate how to use the theme_economist theme of the ggplot2 package in R.

## Preparing the Examples

```data(iris) # Load example data frame head(iris) # Display head of iris data frame # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 1 5.1 3.5 1.4 0.2 setosa # 2 4.9 3.0 1.4 0.2 setosa # 3 4.7 3.2 1.3 0.2 setosa # 4 4.6 3.1 1.5 0.2 setosa # 5 5.0 3.6 1.4 0.2 setosa # 6 5.4 3.9 1.7 0.4 setosa```
```install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2 package```
```install.packages("ggthemes") # Install ggthemes package library("ggthemes") # Load ggthemes package```

## Example 1: Create ggplot2 Density Plot Using theme_economist() Function

```ggplot(iris, # Apply theme_economist Function aes(x = Petal.Length, fill = Species)) + geom_density(alpha = 0.5) + theme_economist()```

## Example 2: Create ggplot2 Boxplot Using theme_economist() Function

```ggplot(iris, # Apply theme_economist Function aes(x = Petal.Length, fill = Species)) + geom_boxplot() + theme_economist()```

## Example 3: Create ggplot2 Scatterplot Using theme_economist() Function

```ggplot(iris, # Apply theme_economist Function aes(x = Petal.Length, y = Petal.Width, col = Species)) + geom_point() + theme_economist()```

## Example 4: Create ggplot2 Barchart Using theme_economist() Function

```ggplot(aggregate(Petal.Width ~ Species, iris, mean), # Apply theme_economist Function aes(x = Species, y = Petal.Width, fill = Species)) + geom_bar(stat = "identity") + theme_economist()```