Using and finding missing values
When working with missing data, there are a couple of commands that you should be familiar with - firstly, you should be able to identify if there are any missing values, and where these are.
Using the any_na() and are_na() tools, identify which values are missing.
This exercise is part of the course
Dealing With Missing Data in R
Exercise instructions
- Create a vector,
x, which has the valuesNA,NaN,Inf,".", and"missing". - Pass a vector
xtoany_na()andare_na()to find and explore which ones are missing.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create x, a vector, with values NA, NaN, Inf, ".", and "missing"
x <- c(___, ___, ___, ___, ___)
# Use any_na() and are_na() on to explore the missings
any_na(___)
are_na(___)