FREE R Programming Language Trivia Questions and Answers
Which of the following represents the R language's base package?
Explanation:
Tools is a base package for the R language. The base packages are essential packages installed automatically when you install R. These packages provide core functionality for the R language, such as data structures, functions for input and output, and essential statistical analysis functions.
R includes a _______ to assist you in performance and code optimization.
Explanation:
R has a debugger that can help you optimize your code and improve its performance. A debugger is a tool that allows you to step through your code line by line and examine the values of variables at each step. This can be useful for identifying errors or inefficiencies in your code and understanding how your code is executed.
R language's apply function requires __ arguments
Whenever a function is called, ___ suspends execution and switches the part into debug mode.
The ____ function divides a vector or other object into groups based on a single factor or a set of related factors.
Explanation:
The split() function in R takes a vector or other objects and splits them into groups determined by a factor or list of factors.
The split() function is helpful for dividing data into subsets based on one or more categorical variables, such as grouping data by region, gender, or some other factor.
A matrix is a rectangular data collection with ____ dimensions.
Explanation:
A matrix is a two-dimensional rectangular data set in R. It has rows and columns and can be considered a grid of values.
Matrices are created using the matrix() function in R, which takes a vector of values and arranges them in a specified number of rows and columns.
A function is marked for _____ mode in R mode using Debug().
Explanation:
When you call the debug() function on a function in R, it sets a breakpoint in that function's code. This means that when you run the function, the R interpreter will pause execution at the breakpoint, allowing you to examine the values of variables and step through the code line by line to find errors or inefficiencies.