In R, the data type of an object is returned by the ______ function.
- mode()
- typeof()
- class()
- str()
In R, the typeof() function is used to determine the data type of an object. It returns a character string representing the data type of the object.
Suppose you have a character variable that contains a number, and you want to convert it to a numeric variable. How would you do that?
- Use as.character() function
- Use as.numeric() function
- Use toNumeric() function
- Use toString() function
To convert a character variable that contains a number to a numeric variable in R, we use the as.numeric() function. For example, as.numeric("123") would return 123.
How does the collapse argument work in the paste() function in R?
- It collapses all spaces in the output vector
- It collapses the output vector into a single string with a specified separator
- It doesn't exist
- None of the above
The 'collapse' argument in the paste() function in R collapses the output vector into a single string with a specified separator. For example, 'paste(c("Hello", "world!"), collapse = " ")' would return "Hello world!".
Suppose you're asked to optimize a piece of R code that performs complex calculations on large matrices. What are some strategies you could use to improve its performance?
- Use vectorized operations and functions
- Utilize parallel processing or distributed computing
- Reduce memory usage through efficient data structures
- All of the above
Some strategies to improve the performance of R code operating on large matrices include using vectorized operations and functions, utilizing parallel processing or distributed computing frameworks, reducing memory usage through efficient data structures or sparse matrix representations, and optimizing the algorithmic complexity of the calculations. These strategies can help leverage the computational power of modern hardware and enhance the efficiency of matrix operations.
How do you create a vector in R?
- Using the c() function to combine elements into a vector
- Using the vector() function to initialize an empty vector
- Using the list() function to create a vector
- All of the above
In R, a vector can be created by using the c() function, which stands for "combine." You can pass multiple elements separated by commas or use the c() function to combine existing vectors into a new vector. The c() function is a versatile way to create vectors of different lengths and types.
How do you perform a logical 'AND' operation in R?
- Using the '&' operator
- Using the '&&' operator
- Using the 'AND' keyword
- All of the above
In R, you can perform a logical 'AND' operation using the '&' operator. The '&' operator returns 'TRUE' if both operands are 'TRUE', and 'FALSE' otherwise. For example, 'TRUE & FALSE' would evaluate to 'FALSE'.
The switch() function in R can be used as an alternative to multiple ________ if statements.
- nested
- vectorized
- case-when
- all
The switch() function in R can be used as an alternative to multiple nested if statements. It allows you to match a given expression to a set of predefined cases and execute the corresponding code block based on the matching case. This provides a more concise and readable alternative to using multiple nested if statements for handling multiple conditions.
In R, the escape sequence for a tab character is ________.
- n
- t
- r
- b
In R, the escape sequence for a tab character is t. For example, "HellotWorld" would result in the string "Hello World" with a tab space between "Hello" and "World".
In R, the result of the operation 'TRUE AND NA' is ________.
- TRUE
- FALSE
- NA
- Error
In R, the result of the operation 'TRUE AND NA' is NA. When one of the operands in a logical operation is NA, the result is also NA because the logical value is undefined.
Can you import CSV data into R?
- Yes, using the read.csv() function
- No, R does not support importing CSV data
- Yes, but it requires writing a custom function
- Yes, using the import.csv() function
Yes, you can import CSV data into R using the read.csv() function. The read.csv() function is a built-in function in R that allows you to read CSV files and create a data frame containing the data.