R Programming

What is a key use case for R Matrices in data analysis?

What is a key use case for R Matrices in data analysis? a) Performing linear algebra operations, such as matrix multiplication b) Storing heterogeneous data types c) Handling categorical data d) Creating complex plots Answer: a) Performing linear algebra operations, such as matrix multiplication Explanation: R matrices are widely used in data analysis for performing

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What are the primary differences between R Arrays and R Data Frames?

What are the primary differences between R Arrays and R Data Frames? a) Arrays are multi-dimensional and store elements of the same type, while data frames are two-dimensional and can store elements of different types b) Arrays are always faster than data frames c) Arrays can only store numeric data, while data frames can only

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How do R Factors help in data analysis?

How do R Factors help in data analysis? a) They manage categorical data efficiently b) They are faster than lists c) They store multi-dimensional numeric data d) They automatically normalize data Answer: a) They manage categorical data efficiently Explanation: R factors are essential for managing categorical data efficiently in data analysis. Factors store categorical data

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