Can you discuss how R handles missing data in datasets?
- R represents missing data with the NA value
- R removes observations with missing data from calculations
- R assigns a default value to missing data
- R displays an error when encountering missing data
R handles missing data in datasets by representing missing values with the NA value. The NA value is a special reserved value in R that indicates missing or unavailable data. Functions in R are designed to handle NA values appropriately, such as excluding them from calculations or providing options to handle missing values in specific analyses.
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