# Barplot in R (8 Examples) | How to Create Barchart & Bargraph in RStudio

In this post you’ll learn how to draw a barplot (or barchart, bargraph) in R programming.

The page consists of eight examples for the creation of barplots. More precisely, the article will consist of this information:

Let’s dig in.

## Example 1: Basic Barplot in R

In Example 1, I’ll show you how to create a basic barplot with the base installation of the R programming language. First, we need to create a vector containing the values of our bars:

`values <- c(0.4, 0.75, 0.2, 0.6, 0.5) # Create values for barchart`

Now, we can use the barplot() function in R as follows:

`barplot(values) # Basic barchart in R` Figure 1: Basic Barchart in R Programming Language.

Figure 1 shows the output of the previous R code: A barchart with five bars. However, you can also see that our basic barchart is very plain and simple. In the next examples, I’ll show you how to modify this bargraph according to your specific needs. So keep on reading!

## Example 2: Barplot with Color

Example 2 shows how to add some color to the bars of our barplot with the col argument:

```barplot(values, # Barchart with colored bars col = "#1b98e0")``` Figure 2: Barchart with Colored Bars.

Note that you could change the color of your bars to whatever color you want. Either you can use HEX-Codes or you could use predefined color names. You can find an overview of colors here.

## Example 3: Horizontal Barplot

We can align the bars of our bargrah horizontally by specifying the horiz option to be equal to TRUE:

```barplot(values, # Horizontal barchart horiz = TRUE)``` Figure 3: Barchart with Horizontal Alignment.

Figure 3 shows exactly the same bars and values as the previous examples, but this time with horizontal bars instead of vertical bars.

## Example 4: Barplot with Labels

It makes a lot of sense to add labels to our barchart in order to show the reader the meaning of each bar. First, we need to specify a vector consisting of the labels of our bars:

`group <- LETTERS[1:5] # Create grouping variable`

Now, we can add these labels to our barplot with the names.arg option:

```barplot(values, # Add labels to barplot names.arg = group)``` Figure 4: Barchart with Labels of Bars.

Note that the vector containing our labels needs to have the same length and ordering as the vector containing our values.

## Example 5: Stacked Barplot with Legend

When we have data with several subgroups (e.g. male and female), it is often useful to plot a stacked barplot in R. For this task, we need to create some new example data:

```data <- as.matrix(data.frame(A = c(0.2, 0.4), # Create matrix for stacked barchart B = c(0.3, 0.1), C = c(0.7, 0.1), D = c(0.1, 0.2), E = c(0.3, 0.3))) rownames(data) <- c("Group 1", "Group 2") data # Print matrix to console # A B C D E # Group 1 0.2 0.3 0.7 0.1 0.3 # Group 2 0.4 0.1 0.1 0.2 0.3```

Based on the previous output of the RStudio console, you can see how our example data should look like: It’s a matrix consisting of a column for each bar and a row for each group.

Now, we can draw a stacked barchart by specifying our previously created matrix as input data for the barplot function:

```barplot(data, # Create stacked barchart col = c("#1b98e0", "#353436"))```

Furthermore, we should add a legend to our stacked bargraph to illustrate the meaning of each color:

```legend("topright", # Add legend to barplot legend = c("Group 1", "Group 2"), fill = c("#1b98e0", "#353436"))``` Figure 5: Stacked Barchart with Legend in R.

Figure 5 shows our stacked bargraph. It contains five bars, whereby each of the bars consists of two subgroups. The legend on the topright illustrates the meaning of the two colors of each bar.

## Example 6: Grouped Barplot with Legend

Depending on our specific data situation it may be better to print a grouped barplot instead of a stacked barplot (as shown in Example 5). We can do that by specifying beside = TRUE within the barplot command:

```barplot(data, # Create grouped barchart col = c("#1b98e0", "#353436"), beside = TRUE)```

As in Example 5, we should also print a legend to our barchart:

```legend("topright", # Add legend to barplot legend = c("Group 1", "Group 2"), fill = c("#1b98e0", "#353436"))``` Figure 6: Grouped Barchart with Legend in R.

Compare Figure 5 and Figure 6. Both graphics contain the same values, once in a stacked barchart and once in a grouped barchart.

## Example 7: Barplot in ggplot2 Package

So far, we have created all barplots with the base installation of the R programming language. However, there are multiple packages available that also provide functions for the drawing of barcharts.

In this example you’ll learn how to make a basic Barplot with the ggplot2 package. First, we need to install and load the package:

```install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2 package```

Then, we also need to store our group and value variables in a data frame – That is required by the functions of the ggplot2 package:

`data_ggp <- data.frame(group, values) # Create data frame for ggplot2`

Now, we can apply the ggplot and the geom_bar functions of the ggplot2 package to create a barplot:

```ggplot(data_ggp, aes(x = group, y = values)) + # Create barchart with ggplot2 geom_bar(stat = "identity")``` Figure 7: Barchart Created with ggplot2 Package.

Figure 7 shows bars with the same values as in Examples 1-4. However, this time the bargraph is shown in the typical ggplot2 design.

## Example 8: Barplot in plotly Package

Another powerful R add-on package for the printing of barcharts is the plotly package. Let’s install and load the package to R:

```install.packages("plotly") # Install plotly package library("plotly") # Load plotly package```

The plotly package contains the plot_ly function. We can use this function to make a barchart as follows:

```plot_ly(x = group, # Create barchart with plotly y = values, type = "bar")``` Figure 8: Barchart Created with plotly Package.

Figure 8 also visualizes the same values as Examples 1-5 and 7, but this time in plotly style.

## Video, Further Resources & Summary

I have recently released a video on my YouTube channel, which illustrates the R programming syntax of this tutorial. You can find the video below:

Please accept YouTube cookies to play this video. By accepting you will be accessing content from YouTube, a service provided by an external third party. If you accept this notice, your choice will be saved and the page will refresh.

In this R tutorial you learned how to create a barplot with multiple bars. Please let me know in the comments, in case you have any further questions.

Subscribe to the Statistics Globe Newsletter

• 