# theme_bw ggplot2 Theme in R (6 Examples)

In this article you’ll learn how to change the ggplot2 theme to the theme_bw in the R programming language.

Here’s how to do it!

## Example Data & Add-On Packages

Have a look at the following example data.

```set.seed(926853)                           # Set random seed
data <- data.frame(x = rnorm(100),         # Create example data frame
y = rnorm(100),
group = LETTERS[1:4]) Have a look at the previous table. It shows the first six rows of our exemplifying data, and that our data has three columns. The variables x and y have the numeric data type and the variable group is a character.

To be able to plot our data using the ggplot2 package, we also need to install and load ggplot2:

```install.packages("ggplot2")                # Install & load ggplot2
library("ggplot2")```

Now, we can draw different types of plots using the theme_bw theme style by applying the theme_bw() function as shown in the following examples.

## Example 1: Draw ggplot2 Scatterplot Using theme_bw()

```ggplot(data,                               # theme_bw scatterplot
aes(x = x,
y = y,
col = group)) +
geom_point() +
theme_bw()``` ## Example 2: Draw ggplot2 Density Plot Using theme_bw()

```ggplot(data,                               # theme_bw density plot
aes(x = x,
fill = group)) +
geom_density(alpha = 0.5) +
theme_bw()``` ## Example 3: Draw ggplot2 Histogram Using theme_bw()

```ggplot(data,                               # theme_bw histogram
aes(x = x,
fill = group)) +
geom_histogram(alpha = 0.5,
position = "identity",
bins = 50) +
theme_bw()``` ## Example 4: Draw ggplot2 Barchart Using theme_bw()

```ggplot(aggregate(y ~ group, data, sum),    # theme_bw barplot
aes(x = group,
y = y,
fill = group)) +
geom_bar(stat = "identity") +
theme_bw()``` ## Example 5: Draw ggplot2 Boxplot Using theme_bw()

```ggplot(data,                               # theme_bw boxplot
aes(x = x,
fill = group)) +
geom_boxplot() +
theme_bw()``` ## Example 6: Draw ggplot2 Line Plot Using theme_bw()

```ggplot(data,                               # theme_bw line plot
aes(x = x,
y = y,
col = group)) +
geom_line() +
theme_bw()``` ## Video & Further Resources

Would you like to know more about the ggplot2 package? Then you may have a look at the following video of my YouTube channel. I explain how to use the ggplot2 package in much more detail:

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On Statistics Globe, you can also find tutorials on how to plot different kinds of graphics such as xy-plots, density plots, barcharts, boxplots, histograms, and line plots using other ggplot2 themes:

Also, you can have a look at the introductions to other add-on packages that provide extra themes for ggplot2 plots:

Furthermore, you might have a look at the related tutorials on my homepage. A selection of tutorials is listed below:

To summarize: At this point you should have learned how to transform the ggplot2 theme to the theme_bw in R programming. If you have further questions, let me know in the comments.

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