NetCourse 120: Statistical Graphics Using Stata

Course length:

6 weeks (4 lessons)

Price:

USD 150

Course leaders:

Kerry Kammire, Derek Wagner, and Rose Medeiros

Prerequisites:

Stata 16 installed and working.
Basic knowledge of using Stata interactively.

Getting to know your data using graphs

  • Introduction
    • Why graphs are an important tool for exploratory data analysis
    • Data management tools for graphing data
    • The example dataset
  • How to create and edit basic graphs using Stata
    • How to create and edit graphs with dialog boxes
    • How to edit graphs with the Graph Editor
    • How to create and edit graphs with commands
  • Some basic graphs
    • Graphs for one continuous variable
    • Graphs for one categorical variable
    • Graphs for two continuous variables
    • Graphs for two categorical variables
    • Graphs for one continuous and one categorical variable
    • Graphs for many variables
  • Storing, saving, and exporting graphs
    • Storing graphs in memory
    • Saving graphs to disk
    • Exporting graphs in .png format
  • Automating the process: Looping and saving

Understanding your results using graphs

  • Introduction
  • Model checking using graphs
    • Using the predict command
    • Checking model assumptions
      • Checking the normality assumption
      • Checking the linearity assumption
      • Checking the homoskedasticity assumption
    • Identifying outliers and influential observations
  • Visualizing the results of your models
    • Using the margins and marginsplot commands
      • A brief review of factor variables
      • Categorical independent variables
      • Multiple categorical independent variables
      • Continuous independent variables
      • Continuous and categorical independent variables
      • Average response versus response at average: The atmeans option
      • Contrasts of margins
      • Marginal effects: Margins of derivatives of responses
    • Using contour plots to visualize continuous-by-continuous interactions

Formatting graphs for publication

  • Introduction
  • Formatting titles, legends, and text boxes
    • Formatting titles
    • Formatting legends
    • Adding text boxes
    • Using italics, bold, superscripts, and subscripts
    • Using specialty characters
    • Using different fonts
    • Formatting numbers
  • Formatting axes, axis labels, ticks, gridlines, graph, and plot regions
    • Formatting categorical axis labels
    • Formatting the x and y axes
    • Formatting the x- and y-axis labels
    • Formatting major and minor ticks and gridlines
    • Adding reference lines
    • Formatting the graph and plot regions
  • Controlling the aspect ratio and size of graphs
  • Using schemes to change the overall look of graphs
    • Using built-in schemes
    • Defining your own schemes
  • Recording and saving edits in the Graph Editor

Advanced graphs: How to layer and combine multiple graphs

  • Introduction
  • Layering multiple graphs with the graph twoway command
    • Basic layered graphs with one y axis
    • Advanced layered graphs with one y axis
    • Basic layered graphs with two y axes
    • Advanced layered graphs with two y axes
  • Layering multiple graphs with the addplot() option
    • Basic
    • Advanced
  • Creating multiple graphs with the by() option
  • Combining different graphs with the graph combine command
    • Basics: Making a table of separate graphs
    • Advanced: Making a single complex graph from separate graphs
  • Exporting graphs for publication
    • Exporting graphs in pixel-based formats
    • Exporting graphs in vector-based formats
  • Introduction
  • User-written graph commands
    • The Statistical Software Components (SSC) archive
    • The coefplot package by Ben Jann
  • How to write a simple graphics wrapper command
  • How to create animated graphs
  • Some fun graphs
    • How to create normal curves with shaded tails
    • How to show scatterplots with regression lines and residuals
    • How to add normal curves to regression lines
    • How to graph a histogram with a box plot

Appendix: Data management tools useful for graphing data

  • The destring and encode commands
  • The recode command
  • The tabulate command with the generate() option
  • The egen command
  • The contract and collapse commands
  • The statsby command
  • The snapshot command
  • The reshape command
  • Macros and loops
  • Extracting value labels to local macros