Visualize Your Estimates

🎨 Visualize MMs or AMCEs

The projoint package provides ready-to-publish plotting tools for conjoint analysis results.

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⚖️ Choice-Level Analysis

Estimate

• Specify your quantity of interest:

qoi_mm <- set_qoi(
  .structure = "choice_level", # default
  .att_choose = "att1", 
  .lev_choose = "level1", 
  .att_notchoose = "att1", 
  .lev_notchoose = "level3"
)

• Estimate

choice_mm <- projoint(
  .data = out1_arranged, 
  .qoi = qoi_mm, 
  .ignore_position = TRUE
)

Visualize (Levels)

plot(choice_mm)

Visualize (Differences)

plot(choice_mm, .type = "pointrange")

Note: The current version of projoint supports plotting choice-level MMs only.
Support for choice-level AMCEs will be available in future updates!

📈 Profile-Level Analysis

Estimate

mm   <- projoint(out1_arranged, .structure = "profile_level") 
amce <- projoint(out1_arranged, .structure = "profile_level", .estimand = "amce")

Visualize

• Marginal Means

plot(mm)

- AMCEs

plot(amce)

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🌟 What’s Next?

Now that you can visualize your results, you’re ready to explore differences across subgroups and other additional analyses!

➡️ Continue to: Explore Additional Analyses
⬅️ Back to: Analyze Your Conjoint Data
🏠 Home: Home

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