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Extra Fundamentals of R

By: Geoffrey Hubona

  • 12:22:03
  • 73
  • 4
  • Language: English

Course Summary

Extra Fundamentals of R is an extension of the course Essential Fundamentals of R. Extra Fundamentals of R introduces additional topics of interest and relevance utilizing many specific R-scripted examples. These broad topics incl

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Target Audience

  • Any novice or intermediate R user would benefit from this course.
  • Appropriate candidate students for this course include undergraduate and graduate students, college and university faculty, and practicing professionals, particularly in quantitative or analytics fields.
  • It is useful to have some rudimentary exposure to using R in a sample session, executing R script.

Pre-Requisites

  • Students will need to install the no-cost R console and the no-cost RStudio application (instructions and provided).

Curriculum

  • Exercise Files
  • Introduction
    01:35
  • Comparing Base and GGPlot2 Graphics
    15:16
  • Continue Graphics Capabilities and Comparisons
    07:26
  • More Graphics Capabilities and Comparisons
    15:06
  • Adding Text to Graphics
    07:09
  • Mathematical and Drawing Functions
    11:04
  • Exercise Files
  • Fitting Non-Linear Curves in Base
    15:49
  • More Base Non-Linear Plots
    18:45
  • Base Boxplots and Bargraphs
    14:32
  • Introduction to Lattice Graphics
    13:30
  • Superposition and Lattice Exercise
    04:26
  • Lattice Exercise Solution
    15:40
  • Exercise Files
  • "In Living Color" Exercises Solution Explained
    15:45
  • Finish "In Living Color" Exercise and Begin Lattice Graphics
    15:18
  • Lattice Layouts, Groups, and Aspect Ratios
    14:13
  • Plotting the Titanic Data Set and Begin GGPlot Graphics
    11:54
  • GGPlot: Non-Linear Fits and Plots
    15:31
  • Histograms, Bar Charts and Density Plots
    17:00
  • Exercise Files
  • Cuckoohost and Other Plots
    14:52
  • Finish Cuckoohosts and Begin Simulation
    16:08
  • Simulating a Coin Tossing Game of Chance (part 1)
    14:11
  • Simulating a Coin Tossing Game of Chance (part 2)
    14:05
  • Simulating the Return of Top-Hats to Rightful Owners (part 1)
    15:58
  • Finish Simulating Top-Hat Returns and Begin Collecting Baseball Cards for Profit
    11:51
  • Exercise Files
  • Collecting Baseball Cards (part 1 continued)
    11:25
  • Collecting Baseball Cards (part 2)
    12:42
  • Collecting Baseball Cards (part 3)
    10:30
  • Collecting Quarters Exercise Solution
    06:07
  • Streaky Baseball Behavior (part 1)
    11:52
  • Streaky Baseball Behavior (part 2)
    12:23
  • Hats and Streakiness Exercise
    07:30
  • Sam and Annie Arrive at the Empire State Building (part 1)
    06:37
  • Sam and Annie Arrive at the Empire State Building (part 2)
    11:15
  • Exercise Files
  • Checking Hats Exercise Solution
    06:43
  • More Streakiness Exercise Solution
    11:03
  • Standard Normal Monte Carlo Simulation
    06:40
  • Estimating Mean Squared Error of a Trimmed Mean
    08:03
  • Estimating a Confidence Level
    11:38
  • Empirical Confidence Level
    04:57
  • Estimating the Taxi Population (part 1)
    09:12
  • Estimating the Taxi Population (part 2)
    07:33
  • Permutation Tests (part 1)
    13:30
  • Permutation Tests (part 2)
    16:56
  • The Bootstrap and Jackknife
    21:45
  • Late to Class Again Exercise
    03:02
  • Exercise Files
  • Late to Class Exercise Solution
    09:59
  • Character and String Manipulation
    08:39
  • Displaying and Concatenating Strings (part 1)
    10:16
  • Displaying and Concatenating Strings (part2)
    14:00
  • Manipulating Parts of a String
    10:00
  • Breaking Apart Character Values
    14:13
  • What are Regular Expressions? (slides)
    10:27
  • Using Regular Expressions in R (part 1)
    13:32
  • Using Regular Expressions in R (part 2)
    11:36
  • Reversing a String Exercise
    01:45
  • Exercise Files
  • Reverse String Exercise Solution
    09:30
  • The Regexpr() and Gregexpr() Functions (part 1)
    12:41
  • The Regexpr() and Gregexpr() Functions (part 2)
    09:49
  • Testing a Filename for a Suffix
    08:41
  • Forming Filenames
    08:46
  • Substituting Text and Tagging Text
    14:54
  • Finding Words in Text Passages
    14:46
  • Manipulating the Component Names of List Structures
    11:07
  • Sorting and Ordering Words
    12:22
  • Determining and Plotting Word Frequency
    06:33

About the Author

Geoffrey Hubona, Professor of Information Systems

Dr. Geoffrey Hubona held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 3 major state universities in the Eastern United States from 1993-2010. In these positions, he taught dozens of various statistics, business information systems, and computer science courses to undergraduate, master's and Ph.D. students. He earned a Ph.D. in Business Administration (Information Systems and Computer Science) from the University of South Florida (USF) in Tampa, FL (1993); an MA in Economics (1990), also from USF; an MBA in Finance (1979) from George Mason University in Fairfax, VA; and a BA in Psychology (1972) from the University of Virginia in Charlottesville, VA. He was a full-time assistant professor at the University of Maryland Baltimore County (1993-1996) in Catonsville, MD; a tenured associate professor in the department of Information Systems in the Business College at Virginia Commonwealth University (1996-2001) in Richmond, VA; and an associate professor in the CIS department of the Robinson College of Business at Georgia State University (2001-2010). He is the founder of the Georgia R School (2010-2014) and of R-Courseware (2014-Present), online educational organizations that teach research methods and quantitative analysis techniques. These research methods techniques include linear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling. Dr. Hubona is an expert of the analytical, open-source R software suite and of various PLS path modeling software packages, including SmartPLS. He has published dozens of research articles that explain and use these techniques for the analysis of data, and, with software co-development partner Dean Lim, has created a popular cloud-based PLS software application, PLS-GUI.

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Extra Fundamentals of R

  • 12:22:03
  • 73
  • 4
  • Language: English
  • 15 days Money back Gurantee
  • Unlimited Access
  • Android, iPhone and iPad Access
  • Certificate of Completion

Course Summary

Extra Fundamentals of R is an extension of the course Essential Fundamentals of R. Extra Fundamentals of R introduces additional topics of interest and relevance utilizing many specific R-scripted examples. These broad topics incl

Read More

Target Audience

  • Any novice or intermediate R user would benefit from this course.
  • Appropriate candidate students for this course include undergraduate and graduate students, college and university faculty, and practicing professionals, particularly in quantitative or analytics fields.
  • It is useful to have some rudimentary exposure to using R in a sample session, executing R script.

Pre-Requisites

  • Any novice or intermediate R user would benefit from this course.
  • Appropriate candidate students for this course include undergraduate and graduate students, college and university faculty, and practicing professionals, particularly in quantitative or analytics fields.
  • It is useful to have some rudimentary exposure to using R in a sample session, executing R script.

About the Author

Geoffrey Hubona, Professor of Information Systems

Dr. Geoffrey Hubona held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 3 major state universities in the Eastern United States from 1993-2010. In these positions, he taught dozens of various statistics, business information systems, and computer science courses to undergraduate, master's and Ph.D. students. He earned a Ph.D. in Business Administration (Information Systems and Computer Science) from the University of South Florida (USF) in Tampa, FL (1993); an MA in Economics (1990), also from USF; an MBA in Finance (1979) from George Mason University in Fairfax, VA; and a BA in Psychology (1972) from the University of Virginia in Charlottesville, VA. He was a full-time assistant professor at the University of Maryland Baltimore County (1993-1996) in Catonsville, MD; a tenured associate professor in the department of Information Systems in the Business College at Virginia Commonwealth University (1996-2001) in Richmond, VA; and an associate professor in the CIS department of the Robinson College of Business at Georgia State University (2001-2010). He is the founder of the Georgia R School (2010-2014) and of R-Courseware (2014-Present), online educational organizations that teach research methods and quantitative analysis techniques. These research methods techniques include linear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling. Dr. Hubona is an expert of the analytical, open-source R software suite and of various PLS path modeling software packages, including SmartPLS. He has published dozens of research articles that explain and use these techniques for the analysis of data, and, with software co-development partner Dean Lim, has created a popular cloud-based PLS software application, PLS-GUI.

More From Author