Package: recodeflow 0.1.2

Introduction | Example of a derived function | 1. Create and load a customized function for your derived variables. | 2. Add the derived variable to the variable_details and variables worksheets. | 3. Recode the derived variable

Install and load recodeflow | Install recodeflow | Load recodeflow | Additional packages

Example 1. Recode a single variable from a single dataset | Example 2. Recode a single variable across multiple datasets | Example 3. Recode a single variable, with different categories, from multiple datasets | Option 1: recode category agegrp variable into a common variable for only datasets with the same category responses | Option 2: recode the categorical agegrp variable into a continuous age_cont variable | Option 3: recode the categorical agegrp variable into a harmonized categorical variable | Example 4. Recode multiple variables from multiple datasets | Example 5. Recode all variables in the variables worksheet | Example 6: Add the data origin in combined datasets | Example 7. Recode derived variables

Example data | How to create the variable_details worksheet | Rows | Columns (14) | variable_details for dervived variables | How to create the variables worksheet variables

What is the function rec_with_table? | Output - Warning messages | Output - Notes | Arguments - Required | Arguments - Default

Working with template variables

Introduction | Structure of the worksheet variable_details | Naming convention for not applicable and missing values | Rows | Columns | Derived Variables | Tables

Introduction | How the variables.csv sheet is organized | Derived Variables

recodeflow approach to coding missing data | Example haven::tagged_na()