The shinydashboard package provides a well-designed dashboard theme for Shiny apps and allows for an easy assembly of a dashboard from a couple of basic building blocks. The package is widely used in commercial environments as well, due to its neat features for building convenient and robust layouts. This exercise set will help you practice […]
Exercises (beginner)
Fighting Factors with Cats: Exercises
In this exercise set, we will practice using the forcats factor manipulation package by Hadley Wickham. In the last exercise set, we saw that it is entirely possible to deal with factors in base R, but also that things can get a bit involved and un-intuitive. Forcats simplifies many common factor manipulation tasks and […]
Facing the Facts about Factors: Exercises
Factor variables in R can be mind-boggling. Often, you can just avoid them and use characters vectors instead – just don’t forget to set stringsAsFactors=FALSE. They are, however, very useful in some circumstances, such as statistical modelling and presenting data in graphs and tables. Relying on factors but misunderstanding them has been known to “eat […]
How To Create a Flexdashboard: Exercises
INTRODUCTION With flexdashboard, you can easily create interactive dashboards for R. What is amazing about it is that with R Markdown, you can publish a group of related data visualizations as a dashboard. Additionally, it supports a wide variety of components, including htmlwidgets; base, lattice, and grid graphics; tabular data; gauges and value boxes […]
How To Plot With Patchwork: Exercises
INTRODUCTION The goal of patchwork is to make it simple to combine separate ggplots into the same graphic. It tries to solve the same problem as gridExtra::grid.arrange() and cowplot::plot_grid, but using an API that incites exploration and iteration. Before proceeding, please follow our short tutorial. Look at the examples given and try to understand the […]
Programmatically Creating Text Outputs in R: Exercises
In the age of Rmarkdown and Shiny, or when making any custom output from your data, you want your output to look consistent and neat. Also, when writing your output, you often want it to obtain a specific (decorative) format defined by the html or LaTeX engine. These exercises are an opportunity to refresh our […]
How To Plot With Dygraphs: Exercises
INTRODUCTION The dygraphs package is an R interface to the dygraphs JavaScript charting library. It provides rich facilities for charting time-series data in R, including: 1. Automatically plots xts time-series objects (or any object convertible to xts.) 2. Highly configurable axis and series display (including optional second Y-axis.) 3. Rich interactive features, including zoom/pan and […]
Create and Format a Google Sheet Within R: Exercises
In this exercise set, we will practice using the Google Sheets package to create and manipulate a Google spreadsheet within R. After completing this exercise set, you will be able to prepare a basic Google Sheets document using just R, leaving behind a reproducible R-script. Note that using Google Sheets is free of cost, but […]
How to Plot With Ggiraph: Exercises
INTRODUCTION The ggiraph is an htmlwidget and a ggplot2 extension. It allows ggplot graphics to be animated. Animation is made with ggplot geometries that can understand three arguments: Tooltip: a column of data-sets that contain tooltips to be displayed when the mouse is over elements. Onclick: a column of data-sets that contain a JavaScript function […]
Parsing Dates and Time – Part 3: Exercises
In the exercises below, we will continue our work with the lubridate package to see more features of it. Answers to these exercises are available here. If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a comment on that page. Exercise 1 […]
