R is a programming language and free software environment for statistical computing and graphics. It is the language for data science, built for data analysts. R provides a wide variety of statistical
R is a programming language and free software environment for statistical computing and graphics. It is the language for data science, built for data analysts. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, etc.) and graphical techniques. Being a full programming language, what R offers are highly extensible.
R is now considered by many as the best software for statistical analysis and data science. It is a fast, powerful statistical package designed by statisticians for researchers of all disciplines. With Base R and a library of packages, the analyst has everything for data management and basic and advanced analysis.
One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. In this course, participants will experience the desired qualities and functionalities that make R widely preferred. R is absolutely free. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.
CESAR is a world-class training and consultancy organisation based in Johannesburg, South Africa. CESAR provides top-notch training and consultancy services, in different aspects of applied research, monitoring and evaluation, statistical analysis and evidence-based practice, to diverse organisations in the continent.
This training course is designed to help participants strengthen their skills using R for effective data modelling and analysis. The course will briefly introduce basic methods for data import, data management, simple graphics, and basic statistical analysis; and provides a firm foundation for stat...
This course is an introduction to the R Statistical language, a free open source environment for statistical computing and graphics. You will learn to perform basic data manipulation and descriptive analysis including graphics display.
With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. Every year, the number of R users grows by 40%, and an increasing number of organizations are using it in their day-to-day activities.
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