R Programming Test

Topics covered

  • Analytics with R & tools: R programming test evaluates candidates' ability to use R analytics for statistical analysis and data mining
  • Data Manipulation using R: Our R programming online test helps recruiters assess candidates' knowledge of manipulating data using R for analysis and visualization purpose
  • Exploratory Data Analysis: This assessment helps to quantify developers' skills of analyzing data sets with exploratory data analysis in order to summarize their important and main characteristics
  • Introduction to Data Science: R programming assessment test checks candidates' ability to use R programming for data science
  • Introduction to Statistics: R programming skills test evaluates candidates' proficiency to use R statistics for cleaning and analyzing data 
  • Machine Learning Techniques using R: This assessment helps recruiters to evaluate candidates' ability to implement machine learning algorithms in R 
  • Regression Analysis: R programming test evaluates candidates' knowledge to determine the relationship between dataset variables using regression analysis 
  • String Manipulation: This test evaluates candidates' ability to change
  • parse
  • splice
  • paste
  • or analyze strings 
  • Test Duration: 20 minutes
  • No. of Questions: 10
You can customize this test by
  • difficulty level
    Setting difficulty level of test

    Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

  • multiple skills
    Combining multiple skills into one test

    Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.

  • add your own questions
    Adding your own questions to the test

    Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more...

  • tailor-made test
    Requesting a tailor-made test

    Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

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About R Programming Test

R is a programming language and software environment for statistical analysis, graphics representation, and reporting. R possesses an extensive catalog of statistical and graphical methods. It includes a machine learning algorithm, linear regression, time series, statistical inference. R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities. 
  
R programming test helps tech recruiters & hiring managers to assess a candidate's R programming skills. R programming online test is designed by experienced Subject Matter Experts (SME) to evaluate and hire R programmer as per the industry standards.

Why use iMocha’s R programming test? 
 
This R programming test helps employers in many ways including hiring a job-fit candidate within a short period, taking unbiased employee performance appraisal decisions and reduce hassle in mass recruitment. You can reduce candidate filtration time up to 85% with R programming online test. 
  
R online quiz helps to screen the candidates who possess traits as follows:  
  
  • Strong experience working with large datasets 
  • Ability to solve analytical problems using quantitative approaches using machine learning methods 
  • Excellent programming experience and data management using SAS and R 
  • Ability to write functions in R  

R programming skills test has powerful reporting feature which will help you get an instant result and an option to share this result with your recruiting team. You can analyze section wise performance of candidate to gauge his strengths and weaknesses. Features like window violation and webcam proctoring help detect cheating during the test 
 
R programming assessment test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, AI-LogicBox, Coding Simulators, True or False Questions, etc.   

This R Programming Test is useful for hiring

  • R Programmer
  • Python Developer
  • Machine Learning Engineer
  • Data Analyst