Handling missing values (na.rm, na.omit) in R Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the mean of the vector, ignoring missing values.

R Programming

mean(c(1, 2, NA, 4), [1] = TRUE)

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

Ana.rm

Bna.omit

Cremove.na

DskipNA

Attempts:

3 left

💡 Hint

Common Mistakes

Using na.omit inside mean() instead of na.rm

Misspelling the argument name

Setting na.rm to FALSE

The na.rm argument tells mean() to remove missing values before calculation.

2fill in blank

medium

Complete the code to remove missing values from the vector using a function.

R Programming

clean_vector <- [1](c(3, NA, 5, NA, 7))

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

Ana.rm

Bna.omit

CremoveNA

DdropNA

Attempts:

3 left

💡 Hint

Common Mistakes

Using na.rm as a function instead of an argument

Using incorrect function names like removeNA

Trying to subset manually without na.omit

The na.omit() function removes all missing values from a vector or data frame.

3fill in blank

hard

Fix the error in the code to calculate the sum ignoring missing values.

R Programming

sum_values <- sum(c(10, NA, 20), [1] = TRUE)

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

Ana.rm

Bna.omit

CremoveNA

DskipNA

Attempts:

3 left

💡 Hint

Common Mistakes

Using na.omit as an argument instead of na.rm

Misspelling the argument name

Not setting the argument to TRUE

The correct argument to ignore missing values in sum() is na.rm.

4fill in blank

hard

Fill both blanks to create a named vector with lengths of words longer than 3 characters.

R Programming

lengths <- {word: [1] for word in words if nchar(word) [2] 3}

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

Anchar(word)

B>

C<

Dlength(word)

Attempts:

3 left

💡 Hint

Common Mistakes

Using length() instead of nchar() for strings

Using < instead of > for filtering

Not filtering words at all

Use nchar(word) to get the length of each word and filter words with length greater than 3 using >.

5fill in blank

hard

Fill all three blanks to create a named vector of word lengths for words longer than 4 characters.

R Programming

result <- list([1]: [2] for [3] in words if nchar([3]) > 4)

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

Aword

Bnchar(word)

Dlength(word)

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names inconsistently

Using length() instead of nchar() for strings

Not filtering words longer than 4 characters

Use word as the key and nchar(word) as the value for each word longer than 4 characters.