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Introduction to R Programming
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Introduction to R Programming

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€99,00 Excl. tax
€119,79 Incl. tax
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  • Gecertificeerde docenten
  • Beste opleider 2019
  • Cursist staat centraal
Information

Introduction to R Programming E-learning

Introduction

  • start the course
  • install R in Microsoft Windows
  • install the RStudio IDE
  • navigate the R Console within the RStudio IDE
  • use the syntax for if-else, operators, loops, and the apply function in R
  • create and manipulate basic data types including numeric and string variables
  • use the vector and matrix types in R
  • install and use packages from the Comprehensive R Archive Network (CRAN)
  • create reusable user-defined functions in R
  • use the random number generator in R to generate single random numbers, random samples, and other random variates using the norm and binom functions

Debugging

  • use traceback and debug to track down errors in your R code
  • use the browser and recover functions to find bugs in R

Data Handling

  • read input and format output using the Console in R
  • import data from a CSV file in R
  • import data from an Excel spreadsheet in R
  • handle missing or unknown values in data problems in R
  • use the built-in examples to understand R functions

Basic Statistics

  • use the mean function in R
  • use the median function in R
  • use the mode function in R
  • use R to measure the spread and dispersion in a dataset
  • use R to measure the median absolute deviation
  • use R to measure covariance and correlation between two different datasets
  • use the R table function to cross tabulate data

Visualizing Data

  • use R to create pie charts from datasets
  • use R to create bar plots from datasets
  • use R to create box plots from datasets
  • use R to create histograms from datasets
  • use R to create line plots from datasets
  • use R to create scatter plots from datasets
  • use R to export graphics such as charts and plots for use in other software

Practice: Introduction to R Programming

  • understand the basics of the R statistical programming language

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Specifications
Product
Colli:1
General properties
Availabilty: 3 hours
Language: English
Certificate of participation: Yes
Online access: 90 days
Progress monitoring: Yes
Award Winning E-learning: Yes
Suitable for mobile: Yes
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