Statistical Computing Using C&R
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The world of programming is constantly evolving, yet the foundational languages remain timeless. This book, C & R, is designed to introduce students to the powerful combination of two essential programming languages: C and R. The language C has stood the test of time as the backbone of system programming and serves as the starting point for millions of programmers around the world. Its structured approach, efficiency, and simplicity make it a perfect language to build a solid foundation in logic and programming skills. On the other hand, R is an emerging star in the field of statistical comput...
The world of programming is constantly evolving, yet the foundational languages remain timeless. This book, C & R, is designed to introduce students to the powerful combination of two essential programming languages: C and R. The language C has stood the test of time as the backbone of system programming and serves as the starting point for millions of programmers around the world. Its structured approach, efficiency, and simplicity make it a perfect language to build a solid foundation in logic and programming skills. On the other hand, R is an emerging star in the field of statistical computing and data science. With the increasing demand for data-driven decision making, the knowledge of R is essential for modern learners who want to analyze, visualize, and draw insights from complex datasets. This book bridges the gap between system programming and data analytics by carefully blending C programming fundamentals with practical R programming applications. Starting from the very basics, the book progresses systematically through decision making, looping structures, user-defined functions, and data handling concepts in both C and R languages.
