Cleaning your data

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Overview

Questions

• What are some steps I should take to clean my data before use?
• How do I identify and deal with missing values in the data?
• How do I save my cleaned data into a new data file?

Objectives

• Eliminate irrelevant data
• Remove data with a low completion rate
• Rename data columns which have lengthy or confusing names
• Identify missing values in the data
• Add a Participant ID column
• Save the cleaned data as a new data file

Key Points

• Use the select() function from the dplyr package to remove unneccesary data columns
• Use the filter() function to omit data based on a specific parameter
• Use is.na() to identify missing values in the data
• Use na.omit() to exclude rows with any missing data
• Use write.csv() to save the cleaned data as a new data file