Factor creation in R Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a factor from the vector 'colors'.

R Programming

colors <- c("red", "blue", "green", "blue")
factor_colors <- [1](colors)

Drag options to blanks, or click blank then click option'

Amatrix

Bas.character

Clist

Dfactor

Attempts:

3 left

💡 Hint

Common Mistakes

Using as.character() instead of factor()

Using list() which creates a list, not a factor

The factor() function creates a factor from a vector in R.

2fill in blank

medium

Complete the code to create a factor with specified levels.

R Programming

colors <- c("red", "blue", "green", "blue")
factor_colors <- factor(colors, levels = [1])

Drag options to blanks, or click blank then click option'

Ac("red", "blue", "green")

Blist("red", "blue", "green")

Cc(1, 2, 3)

Dc("yellow", "purple")

Attempts:

3 left

💡 Hint

Common Mistakes

Using list() instead of c() for levels

Using numeric values instead of character strings for levels

The levels argument expects a character vector of the factor levels.

3fill in blank

hard

Fix the error in the code to create a factor from 'sizes'.

R Programming

sizes <- c("small", "medium", "large", "medium")
factor_sizes <- factor([1])

Drag options to blanks, or click blank then click option'

Ac(sizes)

Bsize

Csizes

Dfactor(sizes)

Attempts:

3 left

💡 Hint

Common Mistakes

Using a wrong variable name 'size'

Wrapping factor() inside factor() causing nested factors

The variable name is sizes. Using it directly creates the factor.

4fill in blank

hard

Fill both blanks to create an ordered factor with levels from small to large.

R Programming

sizes <- c("small", "medium", "large", "medium")
factor_sizes <- factor(sizes, levels = [1], ordered = [2])

Drag options to blanks, or click blank then click option'

Ac("small", "medium", "large")

BTRUE

CFALSE

Dc("large", "medium", "small")

Attempts:

3 left

💡 Hint

Common Mistakes

Using unordered levels or reversed order

Setting ordered to FALSE or omitting it

Levels must be in order from smallest to largest, and ordered = TRUE makes the factor ordered.

5fill in blank

hard

Fill all three blanks to create a factor from 'fruits' with levels and labels.

R Programming

fruits <- c("a", "b", "c", "a")
factor_fruits <- factor(fruits, levels = [1], labels = [2], ordered = [3])

Drag options to blanks, or click blank then click option'

Ac("a", "b", "c")

Bc("apple", "banana", "cherry")

CFALSE

DTRUE

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up levels and labels

Setting ordered to TRUE when not needed

Levels are the original codes, labels are the descriptive names, and ordered is FALSE for unordered factors.