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R++ is not a recognized programming language. It might be a confusion with R or C++. R is a language and environment for statistical computing and graphics, widely used among statisticians and data miners for developing statistical software and data analysis. On the other hand, C++ is a general-purpose programming language created as an extension of the C programming language, or "C with Classes". It has imperative, object-oriented and generic programming features. If you're referring to another specific language or tool named R++, more context would be needed to provide an accurate description.

Ask the right questions secure the right R++ talent among an increasingly shrinking pool of talent.

First 20 minutes

General R++ app knowledge and experience

The first 20 minutes of the interview should seek to understand the candidate's general background in R++ application development, including their experience with various programming languages, databases, and their approach to designing scalable and maintainable systems.

What are the basic data types in R++?

The basic data types in R++ include numeric, integer, complex, logical, and character.

How would you create a vector in R++?

You can create a vector in R++ using the c() function. For example, c(1, 2, 3, 4) creates a numeric vector with elements 1, 2, 3, and 4.

Describe the difference between a list and a vector in R++.

A vector contains elements of the same type, while a list can contain elements of different types.

How would you sort a vector in R++?

You can sort a vector in R++ using the sort() function. For example, sort(c(4, 2, 9, 6)) would return a sorted vector (2, 4, 6, 9).

What are the different ways to subset a data frame in R++?

You can subset a data frame in R++ using the $ operator, the double square bracket [[]] operator, or the subset() function.

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What you’re looking for early on

Does the candidate have a solid understanding of R++ language and its nuances?

Is the candidate able to communicate effectively about complex technical concepts?

Has the candidate demonstrated problem-solving skills during the interview?

Does the candidate possess a good understanding of data structures and algorithms?

Next 20 minutes

Specific R++ development questions

The next 20 minutes of the interview should focus on the candidate's expertise with specific backend frameworks, their understanding of RESTful APIs, and their experience in handling data storage and retrieval efficiently.

How would you handle missing values in a data set in R++?

You can handle missing values in R++ using functions like na.omit() to remove the rows with missing values, or impute them using functions like mean(), median(), or mode().

What is the use of the apply() function in R++?

The apply() function in R++ is used to apply a function to the rows or columns of a matrix or data frame.

Describe the difference between lapply() and sapply() functions in R++.

Both lapply() and sapply() apply a function to a list or vector. The difference is that lapply() always returns a list, while sapply() tries to simplify the result into a vector or matrix if possible.

How would you merge two data frames in R++?

You can merge two data frames in R++ using the merge() function. You need to specify the data frames and the common column(s) to merge on.

What are the different types of loops in R++?

The different types of loops in R++ include for, while, and repeat loops.

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At this point, a skilled R++ engineer should demonstrate strong problem-solving abilities, proficiency in R++ programming language, and knowledge of software development methodologies. Red flags include lack of hands-on experience, inability to articulate complex concepts, or unfamiliarity with standard coding practices.

Digging deeper

Code questions

These will help you see the candidate's real-world development capabilities with R++.

What does this simple R++ code do?
int main() {
 int a = 5;
 int b = 10;
 int c = a + b;
 cout << c;
 return 0;
}
This code declares two integers a and b, assigns them the values 5 and 10 respectively, adds them together and assigns the result to integer c, and then outputs the value of c, which would be 15.
What will be the output of this R++ code?
int main() {
 int array[5] = {1, 2, 3, 4, 5};
 for(int i = 0; i < 5; i++) {
 cout << array[i] * 2 << ' ';
 }
 return 0;
}
This code will output the values of the array elements multiplied by 2. So, the output will be '2 4 6 8 10 '.
What does this R++ code do with an array?
int main() {
 int array[5] = {5, 4, 3, 2, 1};
 sort(array, array + 5);
 for(int i = 0; i < 5; i++) {
 cout << array[i] << ' ';
 }
 return 0;
}
This code sorts the elements of the array in ascending order and then outputs the sorted array. So, the output will be '1 2 3 4 5 '.
What does this R++ code do related to threading?
#include 
 void function() {
 cout << 'Hello, World!';
 }
 int main() {
 std::thread t1(function);
 t1.join();
 return 0;
}
This code creates a new thread t1 that runs the function 'function', which outputs 'Hello, World!'. The main thread waits for t1 to finish execution before it continues, which is ensured by the join() function.

Wrap-up questions

Final candidate for R++ Developer role questions

The final few questions should evaluate the candidate's teamwork, communication, and problem-solving skills. Additionally, assess their knowledge of microservices architecture, serverless computing, and how they handle R++ application deployments. Inquire about their experience in handling system failures and their approach to debugging and troubleshooting.

How would you write a function in R++?

You can write a function in R++ using the function() construct. For example, add <- function(x, y) {return(x + y)} creates a function that adds two numbers.

Describe the difference between a matrix and a data frame in R++.

A matrix in R++ is a two-dimensional data structure where all elements are of the same type. A data frame, on the other hand, is a two-dimensional data structure where different columns can contain different types of data.

What are the different types of object-oriented systems in R++?

The different types of object-oriented systems in R++ include S3, S4, and reference classes.

R++ application related

Product Perfect's R++ development capabilities

Beyond hiring for your R++ engineering team, you may be in the market for additional help. Product Perfect provides seasoned expertise in R++ projects, and can engage in multiple capacities.

R++ Consultive assessments

R++ Application Conversion Assessment R++ Application Integration Assessment R++ Data & Database Integration Assessment

Custom R++ development projects

Custom R++ App Conversion R++ Custom App Development Process App UI Design for R++ Facelifts

Hiring guide for R++ Engineers

R++ Developer Hiring Guide

What you’re looking for early on

The ideal back-end app developer

What you’re looking to see on the R++ engineer at this point.

R++ Consultive assessments

Custom R++ development projects