tests/testthat/_snaps/test_predictions-mixed.md

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

test_predictions, mixed models, print with conditioned values

Code
  print(test_predictions(fit, terms = c("e16sex", "c172code")))
Output
  # Pairwise comparisons

  e16sex        |      c172code | Contrast |       95% CI |      p
  ----------------------------------------------------------------
  male-female   |       low-low |     0.08 | -0.16,  0.32 | 0.513 
  male-male     |    low-medium |    -0.16 | -0.38,  0.07 | 0.169 
  male-female   |    low-medium |    -0.29 | -0.51, -0.06 | 0.012 
  male-male     |      low-high |    -0.28 | -0.62,  0.06 | 0.107 
  male-female   |      low-high |    -0.61 | -0.93, -0.30 | < .001
  female-male   |    low-medium |    -0.24 | -0.46, -0.01 | 0.039 
  female-female |    low-medium |    -0.37 | -0.58, -0.16 | < .001
  female-male   |      low-high |    -0.36 | -0.70, -0.02 | 0.038 
  female-female |      low-high |    -0.69 | -1.00, -0.38 | < .001
  male-female   | medium-medium |    -0.13 | -0.32,  0.07 | 0.199 
  male-male     |   medium-high |    -0.12 | -0.44,  0.20 | 0.457 
  male-female   |   medium-high |    -0.45 | -0.75, -0.16 | 0.002 
  female-male   |   medium-high |     0.01 | -0.31,  0.32 | 0.969 
  female-female |   medium-high |    -0.33 | -0.58, -0.07 | 0.013 
  male-female   |     high-high |    -0.33 | -0.71,  0.04 | 0.083 
Message

  Contrasts are presented as counts.

Code
  print(test_predictions(fit, terms = c("e16sex", "c172code [medium]")))
Output
  # Pairwise comparisons

  e16sex      | Contrast |      95% CI |     p
  --------------------------------------------
  male-female |    -0.13 | -0.32, 0.07 | 0.199
Message

  Contrasts are presented as counts.

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