![]() 8.2 Frequencies and relative frequencies: Counting categorical variables.7.9 Once you finished with data wrangling.7.8.4 Reversing items with opposite meaning.7.8.2 Checking internal consistency of items measuring a latent variable.7.8 Latent constructs and their reliability.7.7.5 Main takeaways regarding dealing with missing data. ![]() 7.7.4 Two more methods of replacing missing data you hardly ever need.7.7.3 Replacing or removing missing data.7.7.2 Identifying patterns of missing data.7.6.2 Computing durations with dates, times and date-time variables.7.6.1 Converting dates and times for analysis.7.6 Handling dates, times and durations.7.4 Data types: What are they and how can you change them.7.3 Cleaning your column names: Call the janitor.7.1.3 Importing data using functions directly.7.1.2 Importing data from the Environment pane.5.4.3 Install all necessary R packages for this book.5.4.2 Installing packages via RStudio’s package pane.5.4.1 Installing packages using install.packages().4.4 The Files / Plots / Packages / Help / Viewer window.4.3 The Environment / History / Connections / Tutorial window.3.4 Updating R and RStudio: Living at the pulse of innovation.2.4 Learning any programming language will help you learn other programming languages.2.3 Programming languages allow you to look at your data from a different angle.2.2 Programming languages enhance your conceptual thinking. ![]() 2.1 Learning new tools to analyse your data is always essential.2 Why learn a programming language as a non-programmer?. ![]()
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