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.
Test Duration: 20 minutes
No. of Questions: 10
Level of Expertise: Expert
R programming test evaluates candidates' ability to use R analytics for statistical analysis and data mining
Our R programming online test helps recruiters assess candidates' knowledge of manipulating data using R for analysis and visualization purpose
This assessment helps to quantify developers' skills of analyzing data sets with exploratory data analysis in order to summarize their important and main characteristics
R programming assessment test checks candidates' ability to use R programming for data science
R programming skills test evaluates candidates' proficiency to use R statistics for cleaning and analyzing data
This assessment helps recruiters to evaluate candidates' ability to implement machine learning algorithms in R
R programming test evaluates candidates' knowledge to determine the relationship between dataset variables using regression analysis
This test evaluates candidates' ability to change, parse, splice, paste, or analyze strings
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Analytics with R & tools
Data Manipulation using R
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“Siemens needed an employee review metric that was based on pure data, making it simpler for the hiring managers to evaluate their team. At the same time, we wanted the employees to be able to show case their domain knowledge and skills without the fear of any biases affecting their review process.”