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Professional Training

R Programming for Developers

Future Savvy, In London (+4 locations)
Length
3 days
Next course start
Enquire for more information (+5 start dates)
Course delivery
Classroom, Virtual Classroom
Length
3 days
Next course start
Enquire for more information (+5 start dates)
Course delivery
Classroom, Virtual Classroom
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Course description

R Programming for Developers

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this course you will learn how to load data, assemble and disassemble data objects, navigate R s environment system, write your own functions, and use all of R s programming tools.

Upcoming start dates

Choose between 5 start dates

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  • Classroom
  • Birmingham

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  • Classroom
  • London

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  • Classroom
  • Manchester

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  • Classroom
  • Reading

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  • Virtual Classroom
  • Online

Suitability - Who should attend?

Prerequisites

Previous experience of a programming language or attendance of our R Programming Introduction is required for this course.

Training Course Content

Getting Started

  • The R User Interface
  • Objects
  • Functions
  • Sample with Replacement
  • Writing Your Own Functions
  • The Function Constructor
  • Arguments
  • Scripts

Packages and Help Pages

  • Packages
  • install.packages
  • library
  • Getting Help with Help Pages
  • Parts of a Help Page
  • Getting More Help

Atomic Vectors

  • Doubles
  • Integers
  • Characters
  • Logicals
  • Complex and Raw

Attributes

  • Names
  • Dim

Storing Data

  • Matrices
  • Arrays
  • Class
  • Dates and Times
  • Factors
  • Coercion
  • Lists
  • Data Frames
  • Loading Data
  • Saving Data

R Notation

  • Selecting Values
  • Positive Integers
  • Negative Integers
  • Zero
  • Blank Spaces
  • Logical Values
  • Names
  • Dollar Signs and Double Brackets

Modifying Values

  • Changing Values in Place
  • Logical Subsetting
  • Logical Tests
  • Boolean Operators
  • Missing Information
  • na.rm
  • is.na

Environments

  • Environments
  • Working with Environments
  • The Active Environment
  • Scoping Rules
  • Assignment
  • Evaluation
  • Closures

Strategy

  • Sequential Steps
  • Parallel Cases
  • if Statements
  • else Statements
  • Lookup Tables
  • Code Comments

S3

  • The S3 System
  • Attributes
  • Generic Functions
  • Methods
  • Method Dispatch
  • Classes
  • S3 and Debugging
  • S4 and R5

Loops

  • Expected Values
  • expand.grid
  • for Loops
  • while Loops
  • repeat Loops

Speed

  • Vectorized Code
  • How to Write Vectorized Code
  • How to Write Fast for Loops in R
  • Vectorized Code in Practice
  • Loops Versus Vectorized Code

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Future Savvy

Welcome to Future Savvy, your gateway to a world of boundless learning and professional growth! At Future Savvy, we believe that knowledge is the key to success, and we are dedicated to providing top-notch training solutions designed to empower individuals...

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