tests/testthat/_snaps/windows/print_zero_inflation.md

In ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

ggpredict, print zero-inflated, glmmTMB

Code
  print(out)
Output
  # Predicted (conditional) counts of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      1.09 | 0.69, 1.72
  no    |      3.42 | 2.86, 4.09

  Adjusted for:
  * site = NA (population-level)

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |       95% CI |      p
  -----------------------------------------
  yes-no |    -2.39 | -3.18, -1.60 | < .001
Message

  Contrasts are presented as conditional means.

Code
  print(out)
Output
  # Average predicted (conditional) counts of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      1.12 | 0.61, 1.63
  no    |      3.51 | 2.89, 4.14

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |       95% CI |      p
  -----------------------------------------
  yes-no |    -2.39 | -3.18, -1.60 | < .001
Message

  Contrasts are presented as conditional means.

Code
  print(out)
Output
  # Expected counts of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      0.26 | 0.11, 0.42
  no    |      2.21 | 1.76, 2.65

  Adjusted for:
  * site = NA (population-level)

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |       95% CI |      p
  -----------------------------------------
  yes-no |    -1.99 | -2.41, -1.58 | < .001
Message

  Contrasts are presented as counts.

Code
  print(out)
Output
  # Average expected counts of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      0.27 | 0.15, 0.40
  no    |      2.27 | 1.86, 2.67

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |       95% CI |      p
  -----------------------------------------
  yes-no |    -1.99 | -2.41, -1.58 | < .001
Message

  Contrasts are presented as counts.

Code
  print(out)
Output
  # Predicted zero-inflation probabilities of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      0.76 | 0.66, 0.83
  no    |      0.36 | 0.30, 0.41

  Adjusted for:
  * site = NA (population-level)

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |     95% CI |      p
  ---------------------------------------
  yes-no |     0.40 | 0.30, 0.50 | < .001
Message

  Contrasts are presented as probabilities (in %-points).

Code
  print(out)
Output
  # Average predicted zero-inflation probabilities of count

  mined | Predicted
  -----------------
  yes   |      0.76
  no    |      0.36

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |     95% CI |      p
  ---------------------------------------
  yes-no |     0.40 | 0.30, 0.50 | < .001
Message

  Contrasts are presented as probabilities (in %-points).

ggpredict, print zero-inflated, pscl

Code
  print(out)
Output
  # Predicted (conditional) counts of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      1.40 | 1.06, 1.85
  no    |      3.55 | 3.30, 3.83

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |       95% CI |      p
  -----------------------------------------
  yes-no |    -2.16 | -2.63, -1.68 | < .001
Message

  Contrasts are presented as conditional means.

Code
  print(out)
Output
  # Average predicted (conditional) counts of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      1.40 | 1.01, 1.79
  no    |      3.55 | 3.29, 3.82

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |       95% CI |      p
  -----------------------------------------
  yes-no |    -2.16 | -2.63, -1.68 | < .001
Message

  Contrasts are presented as conditional means.

Code
  print(out)
Output
  # Expected counts of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      0.30 | 0.17, 0.42
  no    |      2.26 | 2.02, 2.51

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |       95% CI |      p
  -----------------------------------------
  yes-no |    -1.97 | -2.23, -1.71 | < .001
Message

  Contrasts are presented as counts.

Code
  print(out)
Output
  # Average expected counts of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      0.30 | 0.21, 0.38
  no    |      2.26 | 2.02, 2.51

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |       95% CI |      p
  -----------------------------------------
  yes-no |    -1.97 | -2.23, -1.71 | < .001
Message

  Contrasts are presented as counts.

Code
  print(out)
Output
  # Predicted zero-inflation probabilities of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      0.79 | 0.74, 0.83
  no    |      0.36 | 0.35, 0.38

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |     95% CI |      p
  ---------------------------------------
  yes-no |     0.43 | 0.35, 0.51 | < .001
Message

  Contrasts are presented as probabilities (in %-points).

Code
  print(out)
Output
  # Average predicted zero-inflation probabilities of count

  mined | Predicted |     95% CI
  ------------------------------
  yes   |      0.79 | 0.73, 0.85
  no    |      0.36 | 0.31, 0.42

Code
  print(test_predictions(out))
Output
  # Pairwise comparisons

  mined  | Contrast |     95% CI |      p
  ---------------------------------------
  yes-no |     0.43 | 0.35, 0.51 | < .001
Message

  Contrasts are presented as probabilities (in %-points).

ggeffects documentation built on Sept. 12, 2024, 7:41 a.m.