How to Use the R Compiler

To use the R Compiler, follow these steps:

  1. In the code editor, write your R code.
  2. Click the "RUN" button to compile and run your code.
  3. The output will be displayed in the console below the code editor.

Taking Inputs

In R, you can take inputs from the user in various ways. However, please note that interactive input is not commonly used in R as it is often used for data analysis where data is read from files. Here is an example of how you can read interactive input:

cat("Enter a string: ")
input <- readline()
cat("You entered: ", input, "\n")

Importing Libraries

R has a rich set of built-in libraries that can be used in your programs. Here are some examples:

Using the stats Library

result <- sqrt(25)
cat("Square root of 25 is ", result, "\n")

Using the ggplot2 Library

library(ggplot2)
data(mpg)
ggplot(mpg, aes(displ, hwy, colour = class)) + 
  geom_point()

Syntax 101

R is a language and environment for statistical computing and graphics. Here's a primer on the major syntax basics of R:

Variables

Variables in R can be assigned values using <-, =, or ->.

name <- "John Doe" # Variable assignment
age = 25 # Variable assignment

Control Structures

R includes control structures such as if, else, for, while, and repeat.

# If-Else
if (age > 18) {
    print("Adult")
} else {
    print("Minor")
}

# For loop
for (i in 1:5) {
    print(i)
}

# While loop
i <- 0
while (i < 5) {
    print(i)
    i <- i + 1
}

Functions

Functions in R are first-class objects and can be passed as arguments to other functions, returned as the values from other functions, and assigned to variables.

greet <- function(name) {
    print(paste("Hello,", name))
}

greet("John Doe") # Calls the function with "John Doe" as the argument

R Online Test

An R online test is an effective way to assess an individual's R programming skills, especially in the context of data analysis and visualization. These tests typically include a mix of theoretical questions and practical coding challenges. By attempting these tests, candidates can demonstrate their understanding of R concepts, their problem-solving abilities, and their proficiency in writing efficient code. R online tests are commonly used in technical interviews, coding bootcamps, and online learning platforms to gauge a learner's understanding and proficiency in R.