Euro-training Center
 R Programming B1738 QR Code
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R Programming

Overview:

Introduction

You will learn how to successfully program in R and how to use R for data analysis. You'll learn how to introduce and organize programming required for a factual programming scenario as well as how to illustrate traditional programming language concepts as they are used in a high-level measurable language. The course addresses practical concerns in factual inference, including programming in R, adding data to R, getting to R bundles, creating R capacity, troubleshooting, profiling R code, and sorting and noting R code. Working models will be provided by themes in the assessment of quantifiable information.

Course Objectives

At the end of this course the participants will be able to:

  • Utilize R profiler to gather data point by point.
  • Configure programming with facts.
  • Make use of the research tools and R circle works.
  • Know the fundamental concepts of programming languages.

Targeted Audience

  • Programmers
  • Anyone interested in R programming

Course Outline

Unit 1: Introducing R: What is it and how to get it

  • Starting Out: Becoming Familiar with R
  • Starting Out: Working with Objects

Unit 2: Data: Descriptive Statistics and Tabulation

  • Data: Distribution
  • Simple Hypothesis Testing

Unit 3: Introduction to Graphical Analysis

  • Formula Notation and Complex Statistics
  • Manipulating Data and Extracting Components

Unit 4: Regression (Linear Modeling)

  • More About Graphs
  • Writing Your Own Scripts: Beginning to Program

Unit 5:

  • Revision
  • Workshop

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