Chapter 5.04: How to recode items / variables with tidyverse

A Clean and Efficient Way to Recode Variables in R TidyverseПодробнее

Recoding data using R programming. Using the tidyverse and dplyr packages to create a new variableПодробнее

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How to Efficiently Recode Multiple Variables in R Using dplyrПодробнее

Creating Interaction Columns for All Variables in TidyverseПодробнее

Recoding Variables in R 2: Qualtrics IV columnsПодробнее

Tidyverse III: Reshaping and RecodingПодробнее

SQL Workshop Session 4Подробнее

Efficiently Fitting Multiple Regression Models with dplyr and tidyverseПодробнее

Chapter 5 Video 4 - Removing Characters in Variables in RПодробнее

Using the tidyverse to create a composite variableПодробнее

Merge Dataframe in R using TidyverseПодробнее

Chapter 5 Video 12 - Creating New Variables from Existing Variables in RПодробнее

Chapter 15 Video 1 - Recoding 2021 Kenya World Values Survey Data in RПодробнее

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