Course: Introduction to R Programming

$54.00

$65.34 incl. vat

duration: 4 hours |

Language: English (US) |

access duration: 90 days |

Details

In this Programming R training course you will learn the basics of the programming language R. R is a programming language used for statistical analysis and in the course you will learn to use the basic functions, data handling, visual representation and charts.

Among subjects that covered are CSV file to R, use mode function in R, CRAN, installation the Rstudie IDE and far more.

Result

After completing this course you are familiar with the programming language R.

Prerequisites

There is no specific knowledge required.

Target audience

Software Developer, Web Developer, Database Administrators

Content

Introduction to R Programming

4 hours

Introduction to R Programming

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
use traceback and debug to track down errors in your R code
use the browser and recover functions to find bugs in R
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
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
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
understand the basics of the R statistical programming language

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.

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What is included?

Certificate of participation	Yes
Monitor Progress	Yes
Award Winning E-learning	Yes
Mobile ready	Yes
Sharing knowledge	Unlimited access to our IT professionals community
Study advice	Our consultants are here for you to advice about your study career and options
Study materials	Certified teachers with in depth knowledge about the subject.
Service	World's best service

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