Essential Fundamentals of R
Essential Fundamentals of R. Data Types and Structures in R , Inputting & Outputting Data, Writing User-Defined Functions, and Manipulating Data Sets
The name of this course is Essential Fundamentals of R. The knowledge you will get with this indescribable online course is astonishing. Data Types and Structures in R , Inputting & Outputting Data, Writing User-Defined Functions, and Manipulating Data Sets.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Geoffrey Hubona, Ph.D., one of the very best experts in this field.
Description of this course: Essential Fundamentals of R
Course Description Essential Fundamentals of R is an integrated program that draws from a variety of introductory topics and courses to provide participants with a solid almohadilla 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 frente a 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.
Requirements of this course: Essential Fundamentals of R
What are the requirements? Students will need to install both R software and RStudio (instructions are provided)
What will you learn in this course: Essential Fundamentals of R?
What am I going to get from this course? 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.
Target audience of this course: Essential Fundamentals of R
Who is the target audience? Anyone who is interested in learning to use R software who is relatively new (or ‘brand new’) to using R People who wish to learn the essential fundamentals of using R including data types and structures, inputting and outputting data and files, writing user-defined functions, and manipulating data sets College undergrads and/or graduate students who are looking for an alternative to using SAS or SPSS software Professionals engaged in quantitative analyses and/or data analyses tasks who seek an alternative to using SAS and/or SPSS software.
Geoffrey Hubona, Ph.D.
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