Learn R programming

Name: Learn R programming
Rating: 3.2 (3 reviews)

Use R programming to create data structures and perform extensive statistical data analysis and synthesis

Created byPackt Publishing

Last updated 2/2021

English

English [Auto],

What you'll learn

Write basic R code
Get to know the nuts and bolts of writing R in RStudio
Discover the basics of variable assignment and expression
Get a tour of the most important data structures in R
Find out how to create, edit, and subset data structures
Get to know a set of techniques for importing data, manipulating data, performing statistical analysis, and producing useful data syntheses

Course content

4 sections • 17 lectures • 1h 28m total length

The Course Overview2:09
This video provides an overview of the entire course.
Setting Up RStudio4:07
In this video, we will see how to download and install RStudio, and set it up as an R editing environment.
Writing, Running, and Saving R Scripts4:08
In this video, we will Learn how to write, run, save and load R scripts in the RStudio source pane.

Exploring Numbers and Arithmetic Operators4:29
In this video, we will understand how to use numbers and perform arithmetic operations in R.
Working with Variables and Vectors5:45
The aim of this video is to make us understand how to create and use R variables, and the basics of vectors and vectorised operations
Using Functions and Reading Function Documentation6:41
In this video, we will understand how to find and use functions.

Exploring Vectors in Depth and Understanding Data Types10:01
In this video, we will see what data types are and how to work with vectors of different data types.
Working with Matrices and Arrays7:16
This video explains us what is the purpose and properties of matrices and arrays and how to create them, and how to subset elements from them.
Discovering Lists7:57
The aim of this video is to make us understand what list data structure is and how does list differ from vectors.
Discovering Data Frames5:35
In this video, we will understand how to use data frame as a flexible way to represent and work with tabular data in R.
Exploring Factors3:30
This video explains us why factors exist and how to use them in base R.

Reading Data from a File3:40
Datasets are often provided to you in a delimited format such as CSV (comma-separated value). In this video, we will learn how to load data from this and other delimited formats into R.
Subsetting Data Frames6:16
When working with data, it’s often useful to subset a data frame by value. In this video, we will learn how to combine logical operators with data frame subsetting to subset datasets by value.
Statistical Summaries of Data3:46
Large data sets can be difficult to understand at a glance. This video aims to explain how to apply a range of statistical summary functions to condense key statistical properties from dataset variables.
Statistical Tests on Data5:59
Although there are hundreds of statistical tests that can be performed in R, many of them are applied according to a similar pattern. In this video, we will learn how to perform three common statistical tests in two different ways.
Manipulating Data5:52
Data sets will not always contain all the information you need. In this video, we will learn how to manipulate and combine variables to reshape a data set for your application.
Writing Data to File1:45
When you finish working with a data frame, you need to write it back to file to work with it later or pass to somebody else. In this video, we will learn how to write a data frame to file.

Requirements

Basic computer knowledge and skills
Basic mathematical and skills
Course needs the following: • A recent version of macOS, Windows or Linux capable of running the RStudio software

Description

R is a high-level statistical language and is widely used among statisticians and data miners to develop statistical applications. This solution-based video will be your guide, taking you through different programming aspects with R.

Beginning with the basics of R programming, this video provides step-by-step resources and time-saving methods to help you solve programming problems efficiently. Starting with the installation of R, each recipe addresses a specific problem with a discussion that explains the solution and offers insight into how it works.

You will learn to work with powerful R tools and techniques. You’ll be able to boost your productivity with the most popular R packages and tackle data structures such as matrices, lists, and factors. You’ll see how to create vectors, handle variables, and perform other core functions. You’ll be able to tackle issues with data input/output and will learn to work with strings and dates.

Moving forward, we’ll look into more advanced concepts such as metaprogramming with R and functional programming. Finally, you’ll learn to tackle issues while working with databases and data manipulation.

About the Author :

Dr David Wilkins is a biologist with nearly a decade of experience writing R for research applications, particularly high-throughput analysis of genetic data. He has also developed a number of open source R packages.

Who this course is for:

This course is for students, data science enthusiasts, and people who are looking for easy and handy solutions to common R problems. This course assumes some previous computer programming experience.

Learn R programming

What you'll learn

Explore related topics

Course content

Getting Set Up3 lectures • 10min

Diving into Variables and Functions3 lectures • 17min

Working with Base R Data Structures5 lectures • 34min

Working with Data6 lectures • 27min

Requirements

Description

Who this course is for: