This post is about some frequently asked Questions about R Language. The frequently asked questions are about compilers in R, R packages, just in just-in-time compilers, procedural programming in R, and the Recycling rule of vectors. These questions will help you prepare for examinations and interviews.

**Question: What is a Compiler in R Language**?**Answer:** A compiler is software that transforms computer code (source code) to another computer language (target language, i.e., object code).

**Question: What is a package in R Language**?**Answer:** The R package is a collection of R functions, compiled code, sample data, and help documentation. The R packages are stored in a directory called “library” in the R environment. The R language also installed a set of packages during installation.

**Question: What is JIT?Answer:** JIT standards for “Just in Time” compiler. It is a method to improve the run-time performance of a computer program.

**Question: What is procedural Programming in R Language?Answer:** Procedural programming is derived from structured programming and it is based on the concept of procedure call. Procedures are also known as routines, subroutines, or functions. It contains a series of computational steps to be carried out. Any procedure may be called (at any point) during a program’s execution.

### Mathematical Operation in R

**Question: What is the recycling of elements in a vector?****Answer: **When a mathematical operation (such as addition, subtraction, multiplication, division, etc) is performed on two vectors of different lengths (the number of elements in both vectors is different), the element having a shorter length is reused to complete the mathematical operations.

vect1 <- c(4, 1, 4, 5, 6, 9) vect2 <- c(2, 5) vect1 * vect2 ### 8, 5, 8, 25, 12, 45

The elements of `vect2`

are recycled to complete the operation of all elements of `vect1`

.

**Question: What is the difference between a data frame and a matrix in R Language?****Answer:** In R, the data frame contains heterogeneous data (different columns of the data frame may have different types of variable) while a matrix contains homogeneous data (all the columns of the matrix have the same type of variable). In a matrix, similar data types can be stored while in a data frame, different types of data can be stored.

**See Questions about R language Missing Values**