Basic uses of advanced statistical software R

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Basic uses of advance statistical software R

The course presents a description of fundamental concepts and tools for the understanding and use of R programming software, which will allow the student to obtain the necessary skills for data exploration, statistical analysis and graphic procedures.

Due to the wide flexibility of this language, analytical procedures can be applied to on a wide variety of examples and data.

At the end of the course, the student should be able to understand and work in the R programming environment. In addition, you must manipulate data, perform statistical tests and create figures, based on your own databases.

Finally, the necessary information and support material will be provided so that the student can further autonomously in the use of this programming environment.

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The classes are theoretical and practical, with the use of a projector, computers and Internet connection for each student. The class scheme includes a brief introduction to the topic at the beginning, where basic concepts and functions related to the programming environment will be defined, followed by practical exercises for the students to work and apply the acquired knowledge.

Part I: Introduction to the R Programming Environment

  • What is R ?.
  • Installation of R and Rstudio.
  • Essential concepts of R (objects, functions and arguments, vectors, matrices, factors, lists, data frame, subset).
  • R environment (Workspace, script).

Part II: Package Installation

  • Types, search and download, installation and examples.
  • Sciplot Package.

Part III: Importing and browsing / viewing data from files.

  • Read data.
  • Data exploration.
  • Descriptive statistics and graphs.
  • Editing and storing charts.

Part IV: Statistical Testing

  • Parametric assumptions.
  • t-test, wilcoxon. Anova, Kruskal-wallis.
  • A posteriori test (Tukey, Bonferroni).
  • Regression and Correlation

A previous edition of this course was held in Valparaiso Chile in July 2017.

The course was be performed by Jhon Gajardo  in the Faculty of Education of the Catholic University of the Santísima Concepción de Chile – UCSC

 

Know more? LINK

+ OVERVIEW

The classes are theoretical and practical, with the use of a projector, computers and Internet connection for each student. The class scheme includes a brief introduction to the topic at the beginning, where basic concepts and functions related to the programming environment will be defined, followed by practical exercises for the students to work and apply the acquired knowledge.

+ CONTENTS

Part I: Introduction to the R Programming Environment

  • What is R ?.
  • Installation of R and Rstudio.
  • Essential concepts of R (objects, functions and arguments, vectors, matrices, factors, lists, data frame, subset).
  • R environment (Workspace, script).

Part II: Package Installation

  • Types, search and download, installation and examples.
  • Sciplot Package.

Part III: Importing and browsing / viewing data from files.

  • Read data.
  • Data exploration.
  • Descriptive statistics and graphs.
  • Editing and storing charts.

Part IV: Statistical Testing

  • Parametric assumptions.
  • t-test, wilcoxon. Anova, Kruskal-wallis.
  • A posteriori test (Tukey, Bonferroni).
  • Regression and Correlation

+ Previous EDITIONS

A previous edition of this course was held in Valparaiso Chile in July 2017.

The course was be performed by Jhon Gajardo  in the Faculty of Education of the Catholic University of the Santísima Concepción de Chile – UCSC

 

Know more? LINK

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