Molly wants to view observations with missing values in Inventory. However, her data set is quite large. What functions should she use to complete her task in R?
A) is.na (myData.Inventory)
B) is.na (myData$Inventory)
C) which (is.na(myData$Inventory))
D) which (is.na(myData.Inventory))

Question

Molly wants to view observations with missing values in Inventory. However, her data set is quite large. What functions should she use to complete her task in R?
A) > is.na (myData.Inventory)
B) > is.na (myData$Inventory)
C) > which (is.na(myData$Inventory))
D) > which (is.na(myData.Inventory))

Quizplus · Accepted Answer

The which() function returns the indices of the elements in a vector that meet a specified condition. In this case, the condition is that the element is NA. The is.na() function returns a logical vector indicating which elements of a vector are NA. So, the which(is.na(myData$Inventory)) expression will return the indices of the elements in the Inventory column of the myData data frame that are NA.

Molly Wants to View Observations with Missing Values in Inventory