Bioinformatics is an interdisciplinary field of study that combines the field of biology with computer science to understand biological data. Bioinformatics is generally used in laboratories as an initial or final step to get the information. This information can subsequently be utilized for the wet lab practices. However, it can also be used as a […]

## Plotly : Advanced plots and features

Plotly is a d3 based graphing library used to produce interactive and high quality graphs in R. In the following exercises, we will look at some advanced plots and features avaialable in the package. Please note that the list here is not exhaustive. We will use datasets available in base R packages. You are expected […]

## Multivariate Apply Exercises

mapply() works with multivariate arrays, and applys a function to a set of vector or list arguments. mapply() also simplifies the output. Structure of the mapply() function: mapply(FUN, …, MoreArgs = NULL, SIMPLIFY = TRUE, USE.NAMES = TRUE) Answers to the exercises are available here. Exercise 1 Beginning level Required dataframe: PersonnelData <- data.frame(Representative=c(1:4), Sales=c(95,110,115,90), […]

## Udemy Discounts: All Courses $15 Until Thursday

Did you ever consider taking an R course? It might be a good complement to the exercises here on R-exercises. Udemy is a platform that currently offers the largest number of R courses (more than 40). Until this Thur (19 january) you can sign up for any course for just $15. This is a huge […]

## Multiple Regression (Part 1)

In the exercises below we cover some material on multiple regression in R. Answers to the 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. We will be using the dataset state.x77, which […]

## January Update R Course Finder: Shiny, Quantitative Trading, and Much More

A few months ago we launched R Course Finder, an online directory that helps you to find the right R course quickly. With so many R courses available online, we thought it was a good idea to offer a tool that helps people to compare these courses, before they decide where to spend their valuable […]

## Let’s get started with dplyr

The dplyr package by Hadley Wickham is a very useful package that provides “A Grammar of Data Manipulation”. It aims to simplify common data manipulation tasks, and provides “verbs”, i.e. functions that correspond to the most common data manipulation tasks. Have fun playing with dplyr in the exercises below! Answers to the exercises are available […]

## Getting started with Plotly: basic Plots

Plotly is a d3 based graphing library used to produce interactive and high quality graphs in R. In the following exercises, we will look at the basic plots’ syntax and some basic features in the plotly functions. We will use datasets available in base R packages. Refer to the documentation of the plotly packages when […]

## Bonus: Tidy the data up!

We just added this week’s set of bonus exercises! Bonus exercises are weekly exercises sets, available to subscribers to our weekly newsletter. Please sign up using the form on the right, and receive further details by email how to get access to the bonus exercises (and solutions, of course). This week’s bonus exercises focus on […]

## Descriptive Analytics-Part 6: Interactive dashboard ( 2/2)

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”.As this series of exercises comes to an end, the last part is going to be the development of a data product. Not everybody is able to code in R, so it is useful to be able to […]