Add Counts To Barplot R Ggplot2

I want to add a scale of values as an annotation in ggplot bar plots. The simple solution (see below) doesn't work as expected with a stacked bar plot, because the labels are placed at the position of value,. I first learned about embedding many small subplots into a larger plot as a way to visualize large datasets with package ggsubplot. March 4, 2012. Five Interactive R Visualizations With D3, ggplot2, & RStudio Published August 24, 2015 January 4, 2016 by matt in Data Visualization , R Plotly has a new R API and ggplot2 library for making beautiful graphs. geom_bar in ggplot2 How to make a bar chart in ggplot2 using geom_bar. With geom_bar you are saying "I want a bar plot" and you are implying "I want to count how many samples I have of each type". I often write for non-specialist audiences so I tend to use them a lot. Packages such as 'ggplot2. Plotly ggplot2 Library. I don't want to display axis labels. Use the + operator to add geom_point() and geom_smooth(). Recall the ggplot() code that created the barplot of carrier frequency in Figure 2. The image below shows an example. How To in R. In the previous graphic, each country is a level of the categoric variable, and the quantity of weapon sold is the numeric variable. the add argument allows to draw on the existing boxplot, without erasing it. First, let’s make some data. However, you can add bars with height 0 and no label between the groups as follows: a<-data. 0, I followed the instructions in this question - ggplot: sum percentages for each facet - respect "fill" - to figure out how to plot percentage bar plots across factors. , a column for every dimension, and a row for every observation. Thus, the default behavior of geom_bar() is to create a histogram. Any parameters you set in a geom_*() function are treated independently of (and possibly override) the settings defined globally in the ggplot() function. Let us work on such a small data and you can download it from here ( the file is zipped and google AI monkeys are converting. # Making plots using ggplot2 R Tutorial 6. Both have their advantages and disadvantages; one advantage of ggplot2 is that it seems to be more widely used and as a result there is more documentation available for it on the net. I am assuming you are using dplyr and ggplot2 packages. The primary data set used is from the student survey of this course, but some plots are shown that use textbook data sets. There are a number of tools and a variety of concepts you can use to create boundaries. Imagine I have 3 different variables (which would be my y values in aes) that I want to plot for each of my samples (x aes):. stackexchange. It means the dots are plotted horizontally, with the different rations on the Y axis, and the data points for each ration along the X axis. In ggplot, plots are created by adding layers to the base ggplot object using an overloaded version of the "+" operator. If you have a plot that you are particularly proud of, please feel free to send me the code. For example, the capitalize function from the Hmisc package will capitalize the first letters of strings. grid(x = 1:2, y = 1:2) ggplot(df, aes(x, y, xend = x + 0. y is species countcan you wtite the code ahead in my code with geom_text() and reply back it will be of great help. Sign in to add this video to a playlist. In that case, you can filter records or variables using the filter(data, condition) and select (data. 0) Enjoyed this article? I'd be very grateful if you'd help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In. The current release, Microsoft R Open 3. ggplot2::Bar Plot in R using the Titanic Dataset A Barplot is the graphical representation of categorical data with some rectangular bars whose height is proportional to the value that th A Barplot is the graphical representation of categorical data with some rectangular bars whose height is proportional to the value that they represent. I’m going to make a vector of months, a vector of the number of chickens and a vector of the number of eggs. Sign in to make your opinion count. Hi all, I am trying to create a stacked area plot and label the x axis with the variables using scale_x_discrete. Note that ggplot2. Barplot of counts. Where t is the value of the Student???s t-distribution for a specific alpha. The ggsn package improves the GIS capabilities of R, making possible to add 18 different north symbols and scale bars in kilometers, meters, nautical miles, or statue miles, to maps in geographic or metric coordinates created with ggplot or ggmap. One of my favorite packages for creating maps in R is ggplot2. Add a Reference Line to a Bar Plot Horizontal reference lines can be added to a Bar Plot using the abline function. This means that you often don’t have to pre-summarize your data. 1 Getting Started. In base plotting, you write a loop, subset the data each time, and call lines - but you’ll have to have created a blank plot beforehand with the appropriate axes. Count overlapping points. docx from ITS 530-51 at University of the Cumberlands. In this situation, the grouping variable is used as the x-axis and the continuous variable as the y-axis. Then we will see many examples of making a bar plot or bar chart looking better using R so that we can gain the most from the barplots. R in Action (2nd ed) significantly expands upon this material. This type of plot is called a grouped bar. r or rnc_ggplot2_border_themes_2013_01. Use ggplot() with the data layer set to titanic. See the example below. Workshop materials for Data Wrangling with R. , integers) of items or vectors of data that have decimal components (e. A package which allows you to get more control on charts, graphs and maps, is also known to create breathtaking graphics. add information above bars of a barplot(). 1 Getting Started. Is there a way to modify it?. The ggsn package improves the GIS capabilities of R, making possible to add 18 different north symbols and scale bars in kilometers, meters, nautical miles, or statue miles, to maps in geographic or metric coordinates created with ggplot or ggmap. ggplot2 is a R package dedicated to data visualization. ) are returned by a stat transformation of the original data set. However, I need 4 different lines for each bar (subgroup) in the plot. Unlike base R graphs, the ggplot2 graphs are not effected by many of the options set in the par( ) function. , frequency distributions, etc. Width Species ## 1 5. Ordering categories within ggplot2 facets. Basic barplot with ggplot2. I'd like to place text labels on a stacked bar plot, so that each text is over its respective bar. In this case, the height of the bar represents the count of cases in each category. text draws the strings given in the vector labels at the coordinates given by x and y. # (1) Same color for both, use alpha transparency: ggplot(d, aes(x = gp, y = frq)) + geom_bar(fill = 'blue', colour = 'blue', alpha = 0. 假设我们想要使用R ggplot来生成一个条形图,显示某个类别变量在另一个类别变量中的百分比。. Map Pclass onto the x axis, Sex onto fill and draw a dodged bar plot using geom_bar(), i. I want to create a barplot which shows the counts for each month, ideally by status, and ordered by count. It can greatly improve the quality and aesthetics of your graphics, and will make you much more efficient in creating them. ggplot2 for beginners Maria Novosolov 1 December, 2014 Forthistutorialwewillusethedataofreproductivetraitsinlizardsondifferentislands(foundinthewebsite). ggplot2: How to add percentage or count labels above percentage bar plot? Tag: r , ggplot2 Using ggplot2 1. For example, to create a histogram of the depth of earthquakes in. com/rdjalayer Subscribe and click on ads to keep this series of R video. A useful cheat sheet on commonly used functions can be downloaded here. The basic concept of a ggplot2 graphic in R is that you combine different elements into layers. First, let's load some data. You might try but you will get a funky looking line/points. In this video I will explain you about how to create barplot using ggplot2 in R for two categorical variables. We'll start with the tips data from the reshape2 package:. Titles (ggplot2) Problem. # Making plots using ggplot2 R Tutorial 6. Regarding adding bar labels at the top of each bar in ggplot() in Rstudio jcblum September 8, 2018, 9:08pm #3 Here are a couple of references that show how to add per-bar labels to plots created with base graphics barplot() :. e this needs to be the order of the bars: (6,8,3,1,2,4). VDA/EDA courses. Before trying to build one, check how to make a basic barplot with R and ggplot2. We covered the base plotting system, lattice plotting system and ggplot2 amongst others. It useful when you have discrete data and overplotting. You might try but you will get a funky looking line/points. Sign in to add this video to a playlist. Bar plot of counts and confidence intervals with ggplot This example will plot the counts of observations for the interaction of two independent variables, Teacher and Sex. The documentation of geom_bar() indicates that there are two calculated values "count" and "prop". count the events per chromosome and per state; for loss counts, set them to negative so the barplot will be display up / down. This is a way to label your plots to show more meaningful values than would be included by default. It is same as microarray data except that instead of expression values, you will have counts. Well-structured data will save you lots of time when making figures with ggplot2. This is a variant geom_point() that counts the number of observations at each location, then maps the count to point area. So, example: A = c(5, 9, 6, 5, 5). ggplot2 provides two ways to produce plot objects: qplot() # quick plot - not covered in this workshop uses some concepts of The Grammar of Graphics, but doesn't provide full capability and designed to be very similar to plot() and simple to use may make it easy to produce basic graphs but may delay understanding philosophy of ggplot2. For example, what is the likelihood of a sample of 60 women and 40 men in a class coming from a population where the sex ratio is actually 1:1?. In ggExtra: Add Marginal Histograms to 'ggplot2', and More 'ggplot2' Enhancements. Data Visualization with ggplot2 37 Geometries abline density2d line rect vline area dotplot linerange ribbon bar errorbar map rug bin2d errorbarh path segment. When it comes to creating pie charts in R and ggplot2 you need to start with a bar graph from geom_bar() after the initial ggplot() function. For an introduction to ggplot, you can check out the DataCamp ggplot course here. A barplot with number of observation on top of bars, legend, ablines, increased margin and more. This means that you often don’t have to pre-summarize your data. com Aug 20 '12 at 15:09. com Barplot of counts. If we supply a vector, the plot will have bars with their heights equal to the elements in the vector. Benford's Law Graphed in R Using R to replicate Sara Silverstein's post at BusinessInsider. I don't know of a way to set different distances between bars in a barplot. Titles (ggplot2) Problem. Show frequencies along with barplot in ggplot2 5 answers I want to plot frequency distribution of an [r] factor variable as a bargraph, where bars represent the frequency counts of the factor levels. How to expand color palette with ggplot and RColorBrewer - ggplot_mtcars_barplot. We'll start by describing how to use ggplot2 official functions for adding text annotations. The R Code. After select the as factor checkbox(2), select x and factor(cyl) to map the x-axis variable(not shown). e this needs to be the order of the bars: (6,8,3,1,2,4). A few explanation about the code below:. In this chapter, you will learn how to add labels to bar plots representing counts. I would like to use ggplot2 more often as this is the best way to learn, but I need to grasp the basic syntax first. I am beginner in plotting in R. R: Good practice – adding footnotes to graphics 17Feb09 In some statistical programs there is the option available to attach a footnote to the graphical output that is created. It provides a more programmatic interface for specifying what variables to plot, how they are displayed, and general visual properties, so we only need minimal changes if the underlying data change or if we decide to change from a bar plot to a scatterplot. I would like to add an individual Normal Distribution Curve onto every facet. It meshes well with other principles we will be learning. How to plot multiple data series in ggplot for quality graphs? I've already shown how to plot multiple data series in R with a traditional plot by using the par(new=T), par(new=F) trick. The only missing information in a boxplot for me is the count of observation by category and the mean. Aesthetics supports information rather that overshadow it. frame) uses a different system for adding plot elements. Expanding @joran's comment, the special variables in ggplot with double periods around them (. Well structured data will save you lots of time when making figures with ggplot. Adding layers in this fashion allows for extensive flexibility and customization of plots. Create a bar plot of count (frequency) data that is stored in a data. In this situation, the grouping variable is used as the x-axis and the continuous variable as the y-axis. ggplot2 VS Base Graphics. (4 replies) Hi, I'm trying to create a stacked bar plot using ggplot2. In this case, the height of the bar represents the count of cases in each category. docx from ITS 530-51 at University of the Cumberlands. The density ridgeline plot is an alternative to the standard geom_density() function that can be useful for visualizing changes in distributions, of a continuous variable, over time or space. If qplot is an integral part of ggplot2, then the ggplot command is a super component of the ggplot2 package. 1 Plotting with ggplot2. Is simple but elegant. ggplot2 - Grammar of Graphics created by Hadley Wickham. It is not a part of "base" R, but it has attracted many users in the R community because of its versatility, clear and consistent interface, and beautiful output. I am pasting my basic code: Add annotation color bar to ggplot objects. Matloff January 11, 2013 1 Introduction Hadley Wickham’s ggplot2 package is a very popular alternative to R’s base graphics package. You will also learn how to add labels to a stacked bar plot. [R programming 기초] 데이터 시각화, 그래프 그리기 ggplot 2019. Graphical Primitives Data Visualization with ggplot2 Cheat Sheet RStudio® is a trademark of RStudio, Inc. This will tell ggplot2 to draw points on the plot. plot cnv_auto_chr using the count as the y variable. Or copy & paste this link into an email or IM:. (2 replies) Hi,everybody I have a dataframe like this FID IID STATUS 1 4621 live 1 4628 dead 2 4631 live 2 4632 live 2 4633 live 2 4634 live 6 4675 live 6 4679 dead 10 4716 dead 10 4719 live 10 4721 dead 11 4726 live 11 4728 nosperm 11 4730 nosperm 12 4732 live 17 4783 live 17 4783 live 17 4784 live I just want a barblot to count "live" or "dead" in every "FID", and fill the bar with different. How to do this. The only missing information in a boxplot for me is the count of observation by category and the mean. To add labels , a user must define the names. 1 Plotting with ggplot2. It is also important to keep in mind that a bar plot shows only the mean (or other estimator) value, but in many cases it may be more informative to show the distribution of values at each level of the categorical variables. All this is very possible in R, either with base graphics, lattice or ggplot2, but it requires a little more work. 1 Getting Started. The focus here is on data: from R tips to desktop tools to taking a hard look at data claims. I have used the following code. How can I put confidence intervals in R plot? I have X and Y data and want to put 95 % confidence interval in my R plot. Thus, the default behavior of geom_bar() is to create a histogram. However, I need 4 different lines for each bar (subgroup) in the plot. 0 made many changes to ggplot including one that broke the original version of this code when it changed the default stat function used by geom_bar ggplot 2. pdf), Text File (. I have created a grouped barplot with ggplot2 consisting of 4 groups (x-axis) with each 4 subgroups (bars). In this chapter, you will learn how to add labels to bar plots representing counts. e this needs to be the order of the bars: (6,8,3,1,2,4). geom_count() (a new alias for the old stat_sum()) counts the number of points at unique locations on a scatterplot, and maps the size of the point to the count: ggplot(mpg, aes(cty, hwy)) + geom_point() ggplot(mpg, aes(cty, hwy)) + geom_count() geom_curve() draws curved lines in the same way that geom_segment() draws straight lines: df <- expand. Hi, I have a Data Frame like this: and i created facet wrap Histograms for the Lieferzeit related to Hersteller and Produktionsjahr. You will also learn how to add labels to a stacked bar plot. R Barplot Syntax. The script below illustrates how to add one label per stack in a stacked bar chart using ggplot in R. Recall the ggplot() code that created the barplot of carrier frequency in Figure 2. The R ggplot2 line Plot, or line chart connects the dots in order of the variable present on the x-axis. Note that ggplot2. Up until now, we've kept these key tidbits on a local PDF. It starts with the most basic example and. A barplot shows the relationship between a numeric and a categoric variable. The "data-ink ratio" of such a plot is pretty low. Note that, the default value of the argument stat is "bin". Launch ggplotAssist add-in. - saveChart. Getting the data into R. Barchart section Barplot tips This chart illustrates many tips you can apply to a base R barplot:. Mapping variable values to colors. Packages such as 'ggplot2. You can also specify mappings for a given geom independently of the mappings defined globally in the ggplot() function. These bars can be customized via arguments per the sections below. A barplot with number of observation on top of bars, legend, ablines, increased margin and more. Use promo code ria38 for a 38% discount. No matter what, though, creating maps in R is trickier than doing it in a GIS system, particularly when you don't have 'on the fly' projection as you have in both ArcGIS and QGIS. In that case, you can filter records or variables using the filter(data, condition) and select (data. You can add labels using geom_text () function. This can be done in a number of ways, as described on this page. So we can create some code snippets which we can include in one line from rnc_ggplot2_border_themes_2011_03_17. plt ("clarity") We can also choose to show relative frequencies (%) on the y-axis. R for Data Science. add information above bars of a barplot(). This is a way to label your plots to show more meaningful values than would be included by default. , these are universal plot settings). Passing the category to geom_bar() as x will automatically calculate the height of the bars based on the row count per category. The ggplot2 package, created by Hadley Wickham, offers a powerful graphics language for creating elegant and complex plots. ggplot2 functions like data in the 'long' format, i. For example, the capitalize function from the Hmisc package will capitalize the first letters of strings. This post steps through building a bar plot from start to finish. Vertical reference lines cannot be added to bar plots. shape=NA' inside the geom_boxplot() function: Showing percentage instead of counts in a bar plot - ggplot2 - R. The ggsn package improves the GIS capabilities of R, making possible to add 18 different north symbols and scale bars in kilometers, meters, nautical miles, or statue miles, to maps in geographic or metric coordinates created with ggplot or ggmap. Sometimes factors will need to have the order of their levels specified for ggplot2 to put them in the correct order on the plot. This is a variant geom_point() that counts the number of observations at each location, then maps the count to point area. This site is powered by knitr and. The table() command creates a simple table of counts of the elements in a data set. I will post it here and acknowledge you as author. csv) x=Smoke fill=Exer position=dodge facet=Sex x-label=Smoker y-label=Counts title=The Exercise habits of Male and Female students that smoke Subscribe to view the full document. txt files to word automatically). The axis can be customized by the user per the following sections. Before trying to build one, check how to make a basic barplot with R and ggplot2. Anyone know how to combine these two features?. Next, we add the geom_bar call to the base ggplot graph in order to create this bar chart. The script below illustrates how to add one label per stack in a stacked bar chart using ggplot in R. 0) Enjoyed this article? I'd be very grateful if you'd help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In. It is of great use when you have multiple of categories and quickly visualize the counts of each category. 0) Enjoyed this article? I'd be very grateful if you'd help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In. library(ggplot2) # The fill aesthetic colors the bars, the colour aesthetic does the same for the borders. pch to shape, cex to size) Create ggplot object without mapping and then add mapping with aes(). I have two pieces of data that I want to overlay onto the same plot. Let us work on such a small data and you can download it from here ( the file is zipped and google AI monkeys are converting. A useful cheat sheet on commonly used functions can be downloaded here. This means that you often don't have to pre-summarize your data. I highly recommend checking that out, in most cases you can just add + theme_ipsum() to your ggplot and get an amazingly good looking plot. Below is a small data frame in R and some code to get a nice pretty barplot of what I want. Extension to 'ggplot2' and 'ggiraph' Extension to 'ggplot2' and 'ggiraph' Description Usage Arguments Value Examples. If you've tried to do this before you know it downright impossible. R Programming. Bar plot of counts and confidence intervals with ggplot This example will plot the counts of observations for the interaction of two independent variables, Teacher and Sex. The documentation of geom_bar() indicates that there are two calculated values "count" and "prop". Goal : No more basic plots! #install. This R graphics tutorial shows how to customize a ggplot legend. We'll use the diamonds data in the ggplot2 package. In this case, we'll use the summarySE() function defined on that page, and also at the bottom of this page. txt) or read book online for free. Interactive comparison of Python plotting libraries for exploratory data analysis. 5 Hi everyone, I have data with genes with values ranging from 0 to 1. This seminar introduces how to use the R ggplot2 package, particularly for producing statistical graphics for data analysis. It is meant for incoming OHSU Bioinformatics and Computational Biomedicine Majors but is appropriate for any beginners wanting to learn elementary data manipulation in R. This gives you the freedom to create a plot design that perfectly matches your report, essay or paper. Add a Reference Line to a Bar Plot Horizontal reference lines can be added to a Bar Plot using the abline function. The table() command creates a simple table of counts of the elements in a data set. If you're new to visualization in R, here's a better question: What type of data do you have and what kind of chart do you want to make? Google for a solution in R, and in all likelihood there's at least one floating around somewhere. hello friends, I want to add bar values on top of each stacked bar in the bar plot with geom_text() of titanic dataset… My x variable is ‘Sex’ and have filled it with the variable ‘Survived’ here is my code: ggplot(ti…. First, it is necessary to summarize the data. Note that ggplot2. barplot is a function, to plot easily bar graphs using R software and ggplot2 plotting methods. The function coord_polar() is used to produce pie chart from a bar plot. Packages such as 'ggplot2. In this post, we will start with how to make simple barplots using ggplot2 in R. However, I need 4 different lines for each bar (subgroup) in the plot. 2) and ggplot2 (ver. Use the + operator to add geom_point() and geom_smooth(). First, let’s make some data. The ggplot data should be in data. Hi all, I need your help. It provides a more programmatic interface for specifying what variables to plot, how they are displayed, and general visual properties, so we only need minimal changes if the underlying data change or if we decide to. The package is under construction. This tutorial focusses on exposing this underlying structure you can use to make any ggplot. You can vote up the examples you like or vote down the ones you don't like. It is built for making profressional looking, plots quickly with minimal code. Let’s create a simple bar chart in R using the barplot() command, which is easy to use. This is done by using stat="bin" (which is the default). r we can see the sort of thing to aim for. Let us take an example: Say that we start with a pretty typical small dataset with two variables that we've measured in four groups. I’m going to make a vector of months, a vector of the number of chickens and a vector of the number of eggs. The first time I made a bar plot (column plot) with ggplot (ggplot2), I found the process was a lot harder than I wanted it to be. Donut Chart In R Ggplot2. Before trying to build one, check how to make a basic barplot with R and ggplot2. If you want to add labels to a stacked bar plot or a proportional bar plot, some calculation will be needed. r ggplot2 this question asked Jan 13 '11 at 0:26 Jana 486 2 8 15 migrated from stats. Easy to make good-looking plots (be careful that form doesn’t eclipse function) 2. First, we specify the data source. A barplot with number of observation on top of bars, legend, ablines, increased margin and more. R/RStudio is a powerful free, open-source statistical software and programming language that is regarded as a standard in the statistics community. ggplot is a plotting system for Python based on R's ggplot2 and the Grammar of Graphics. Workshop materials for Data Wrangling with R. Is not overloaded with information. In this post, we will start with how to make simple barplots using ggplot2 in R. Width Petal. Add annotations of X or Y labels in ggplot barplot I want to add a scale of values as an annotation in ggplot bar plots. An example graph without a title: Cookbook for R. To add labels , a user must define the names. 10 30 2014 Dual Y Axis Graph (ggplot2) % Brooding vs Temperature Oyster Bay Here I'm showing how to produce a dual Y axis graph with ggplot2 package in R. Introduction. Customizing ggplot2 Graphs. The simplest form of the bar plot automatically populates the y-axis. The primary data set used is from the student survey of this course, but some plots are shown that use textbook data sets. How-To Free download: Save R data visualization time with these ggplot2 code snippets. ggplot2 is a plotting package that makes it simple to create complex plots from data in a data frame. up vote 33 down vote accepted. set the geom position to "dodge". You can add labels represneting counts with the following code. ggplot likes data in the ‘long’ format: i. This post steps through building a bar plot from start to finish. Here is the code of a typical bar plot using ggplot2 :. Where t is the value of the Student???s t-distribution for a specific alpha. Rather than plotting the count of each of the 13 "Bar" factors on the Y axis, I would like to represent the sum of the Values associated with each of the 13 "Bar" factors. One very convenient feature of ggplot2 is its range of functions to summarize your R data in the plot. However, you can add bars with height 0 and no label between the groups as follows: a<-data. Introduction to ggplot Before diving into the ggplot code to create a bar chart in R, I first want to briefly explain ggplot and why I think it's the best choice for graphing in R. It is of great use when you have multiple of categories and quickly visualize the counts of each category. Then we count them using the table() command, and then we plot them. This function allows you to create a two-dimensional grid that defines the facet variables. 5)) + geom_curve(aes(colour = "curve")) + geom_segment(aes(colour = "segment")). You will also learn how to add labels to a stacked bar plot. I would suggest reading the discussion (all the posts) starting at: http://tolstoy. If you're new to visualization in R, here's a better question: What type of data do you have and what kind of chart do you want to make? Google for a solution in R, and in all likelihood there's at least one floating around somewhere. Getting the data into R. Note that, the default value of the argument stat is “bin”. lattice - a popular approach, but we will not cover in this course. The "data-ink ratio" of such a plot is pretty low. A geometric object, or geom in ggplot terminology: The. aes中,color控制柱子边框颜色,fill控制柱子填充色;. 0 (a): How to create a dodged bar plot. Examples of scatter charts and line charts with fits and regressions. Basic barplot with ggplot2. Chang, W (2012) R Graphics cookbook. The first time I made a bar plot (column plot) with ggplot (ggplot2), I found the process was a lot harder than I wanted it to be. Five Interactive R Visualizations With D3, ggplot2, & RStudio Published August 24, 2015 January 4, 2016 by matt in Data Visualization , R Plotly has a new R API and ggplot2 library for making beautiful graphs. In my experience, people find it easier to do it the long way with another programming language, rather than try R, because it just takes longer to learn. The frequencies for the barplot command can be easily calculated using the table command. I’m going to make a vector of months, a vector of the number of chickens and a vector of the number of eggs. Show frequencies along with barplot in ggplot2 5 answers I want to plot frequency distribution of an [r] factor variable as a bargraph, where bars represent the frequency counts of the factor levels. For example, the capitalize function from the Hmisc package will capitalize the first letters of strings. Well-structured data will save you lots of time when making figures with ggplot2.