What are R Built-in Functions?

What are R Built-in Functions?

a) Predefined functions in R that perform common tasks
b) Functions that you must define before using
c) Loops that are automatically included in R scripts
d) Special variables that store functions

Answer:

a) Predefined functions in R that perform common tasks

Explanation:

R comes with a rich set of built-in functions that are predefined and ready to use. These functions perform a variety of common tasks, such as mathematical calculations, data manipulation, statistical analysis, and more. Using built-in functions saves time and effort because they provide standardized, optimized implementations for many tasks.

# Examples of built-in functions in R
x <- c(1, 2, 3, 4, 5)

# Calculate the mean of x
mean_value <- mean(x)
print(mean_value)  # Output: 3

# Calculate the sum of x
sum_value <- sum(x)
print(sum_value)  # Output: 15

In this example, the built-in functions mean() and sum() are used to calculate the mean and sum of a numeric vector x. These functions are essential tools in R, allowing you to perform complex operations with minimal code.

R’s built-in functions cover a wide range of applications, from basic arithmetic to advanced statistical modeling, making R a powerful and versatile programming language for data analysis.

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