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.
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.
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.
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.
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.
