Udemy

Essential Fundamentals of R

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  • 1,825 Students
  • Updated 7/2020
4.2
(186 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 32 Minute(s)
Language
English
Taught by
Geoffrey Hubona, Ph.D.
Rating
4.2
(186 Ratings)
3 views

Course Overview

Essential Fundamentals of R

Data Types and Structures in R , Inputting & Outputting Data, Writing User-Defined Functions, and Manipulating Data Sets

Essential Fundamentals of R is an integrated program that draws from a variety of introductory topics and courses to provide participants with a solid base of knowledge with which to use R software for any intended purpose. No statistical knowledge, programming knowledge, or experience with R software is necessary. Essential Fundamentals of R (7 sessions) covers those important introductory topics basic to using R functions and data objects for any purpose: installing R and RStudio; interactive versus batch use of R; reading data and datasets into R; essentials of scripting; getting help in R; primitive data types; important data structures; using functions in R; writing user-defined functions; the 'apply' family of functions in R; data set manipulation: and subsetting, and row and column selection. Most sessions present "hands-on" material that demonstrate the execution of R 'scripts' (sets of commands) and utilize many extended examples of R functions, applications, and packages for a variety of common purposes. RStudio, a popular, open source Integrated Development Environment (IDE) for developing and using R applications, is also utilized in the program, supplemented with R-based direct scripts (e.g. 'command-line prompts') when necessary.

Course Content

  • 7 section(s)
  • 46 lecture(s)
  • Section 1 Introduction and Orientation
  • Section 2 Input and Output, Data and Data Structures
  • Section 3 Manipulating Dataframes in Depth
  • Section 4 User-Defined Functions in R
  • Section 5 Writing Functions in R
  • Section 6 The Apply Family of Functions
  • Section 7 Reshaping and Recoding Data

What You’ll Learn

  • Install R and RStudio and engage in a basic R session
  • Understand the characteristics of different data types and structures in R
  • Be able to read in data and write out data files from various sources
  • Sort, select, filter, subset, and manipulate tables of data in R
  • Create and execute their own user-defined functions in an R session
  • Understand how to use the apply() family of functions to execute various actions against different R data structures
  • Know how to use reshaping and recoding "short cuts" for changing data types and for rearranging data structures.

Reviews

  • G
    Gregg Hudis
    4.0

    Incredible amount of detail but I find lectures slow moving as it was taken from live classroom lectures

  • T
    Tzeng Yih Lam
    5.0

    complete and understandable

  • C
    Cameron Visser
    4.5

    This is a good short intro to programming in R. The instructor did a good job explaining the basics.

  • R
    Reijuana Harley
    3.0

    The instructor speaks in a language too complex for a beginner at times.

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