R Language اسئلة واجوبة المقابلات
سؤال 11. What is vectorization in R, and why is it important?
Vectorization is the process of applying operations to entire vectors at once. It is important for efficiency and simplicity in R programming.
Example:
vector1 <- c(1, 2, 3)
vector2 <- c(4, 5, 6)
result <- vector1 + vector2
سؤال 12. Explain the concept of lazy evaluation in R.
Lazy evaluation is a feature in R where expressions are not evaluated until their values are actually needed. It can improve performance by avoiding unnecessary computations.
Example:
lazy_function <- function() { print('Lazy function') }
# The function is not executed until called: lazy_function()
سؤال 13. How do you generate random numbers in R?
You can use functions like runif() for uniform distribution, rnorm() for normal distribution, and sample() for random sampling.
Example:
random_numbers <- runif(5)
سؤال 14. Explain the purpose of the 'shiny' package in R.
The 'shiny' package is used to create interactive web applications directly from R. It allows users to interact with R-based visualizations through a web browser.
Example:
library(shiny)
shinyApp(ui, server)
سؤال 15. What is the purpose of the 'str()' function in R?
The 'str()' function is used to display the structure of an R object. It provides a compact way to see the internal structure of data objects in R.
Example:
str(my_data)
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