Avatto > DATA SCIENTIST > PRACTICE QUESTIONS > R for Data Analytics > Advanced R Programming

R for Data Analytics MCQ - Advanced R Programming

11 What is the safer way to convert a factor containing numeric-looking labels into numeric values?

Converting the factor to character first preserves the displayed numeric values before numeric conversion.

12 What is the purpose of do.call() in R?

do.call() constructs and executes a function call from a function and a list of arguments.

13 Which expression is commonly used to combine a list of data frames by rows?

do.call(rbind, ...) passes the list elements as separate arguments to rbind().

14 Which function is useful for inspecting the search path in R?

search() shows the objects and packages currently on the R search path.

15 What risk can arise from using attach() on multiple data frames containing the same column names?

Objects earlier on the search path can mask variables with the same name from attached data frames.

Subtopics Covered

View All Subtopics

Quick Links

Difficulty Distribution

Easy 0%
Medium 0%
Hard 0%

Upcoming Papers

UPCOMING -- DATE PENDING

Data Scientist is a professional role rather than a single standardized examination. Candidates are recruited through individual organization-specific exams, university qualifications, or professional certifications. The day countdown will appear automatically after the API provides an exact official exam date.

Your Progress

Start Practising!

You've answered 0 of 17 questions in this topic.

Practice Spotlight

Closures

A closure combines a function with the environment in which it was created. This allows functions to retain access to values even after another function finishes.

Day 5 / 10

Global Spotlight

Challenge Your Accuracy

Strong work at 0% accuracy. Attempt the hardest Advanced R Programming questions and explain why every incorrect option is wrong.

Day 6 / 10

Question Spotlight

Question:

Why is set.seed() commonly used before operations involving random numbers?

A. To increase randomness
B. To make random results reproducible
C. To remove duplicated values
D. To convert numbers to integers

Correct answer: B

Explanation:

set.seed() initializes the random number generator so the same random sequence can be reproduced.

Click to view the complete question details

Day 2 / 10 Open this question

Community Insight

Based on 7 saved attempts

Most Attempted TopicAdvanced R Programming
Most Challenging TopicAdvanced R Programming
Average Accuracy29%