Why data types matter in R in R Programming - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a numeric vector in R.

R Programming

numbers <- c(1, 2, 3, [1])

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A4

B"4"

Cc(4)

DTRUE

Attempts:

3 left

💡 Hint

Common Mistakes

Using quotes around numbers makes them characters.

The vector should contain numeric values. Using 4 (without quotes) keeps it numeric.

2fill in blank

medium

Complete the code to check the data type of the variable 'x'.

R Programming

x <- 10
class([1])

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Ax

B10

C"x"

Dclass

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the value or variable name as a string instead of the variable itself.

Use the variable name 'x' inside the class() function to check its data type.

3fill in blank

hard

Fix the error in the code to convert a character vector to numeric.

R Programming

chars <- c("1", "2", "3")
numbers <- as.[1](chars)

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Acharacter

Blogical

Cfactor

Dnumeric

Attempts:

3 left

💡 Hint

Common Mistakes

Using as.character() or as.factor() which do not convert to numeric.

Use as.numeric() to convert character values that represent numbers into numeric type.

4fill in blank

hard

Fill both blanks to create a logical vector and check its type.

R Programming

flags <- c(TRUE, FALSE, TRUE)
type <- class([1])
print([2])

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Aflags

Btype

C"flags"

Dclass

Attempts:

3 left

💡 Hint

Common Mistakes

Passing strings instead of variables, or printing the wrong variable.

Use the variable 'flags' to get its class, then print the 'type' variable.

5fill in blank

hard

Fill all three blanks to create a factor and check its levels.

R Programming

colors <- factor(c("red", "blue", "red"))
[1] <- levels([2])
print([3])

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Avec

Bcolors

Clevels_vec

Dlevels_colors

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong variable names or forgetting to store levels before printing.

Create a variable to store levels, get levels of 'colors', then print that variable.