Rbasic was created in 1993 by Ross Ihaka and Robert Gentleman at the University of Auckland. It was developed as an open-source implementation of the S programming language to provide a more accessible and extensible tool for statisticians and data analysts.
Rbasic
Rbasic is a programming language designed for statistical computing and data analysis. It provides a wide array of statistical techniques, graphical tools, and data manipulation capabilities, making it popular among statisticians and data scientists for performing complex analyses and visualizations.

About Rbasic
Rbasic's strengths include its extensive statistical libraries, strong data visualization capabilities, and active community support. Weaknesses involve a steep learning curve and slower performance with large datasets compared to some other languages. Competitors include Python (with libraries like Pandas and SciPy), SAS, and MATLAB.
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How to hire a Rbasic expert
An Rbasic expert must have proficiency in statistical analysis, data manipulation using packages like dplyr and tidyr, data visualization with ggplot2, and writing efficient R code. They should also be skilled in using RStudio, debugging, and optimizing performance for large datasets.
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