# Executive Summary

# Maternal Preconception Study

## Resident Intruder Behaviours

# Introduction

The results of the analysis are presented using the following structure:

1. Searchable High‑Level Summary: Provides a brief overview of the key findings from our analysis with a table of effects
2. Visualisation, Descriptive Statistics and Diagnostics by Variable: Exploratory data analysis and model diagnostics for each behavioral measure
3. Searchable ROPE Analysis Table: Model diagnostics to check the fit of the models

# Effects of Interest

# Searchable High‑Level Summary

### Enter search terms in the column headers to filter the table below

Note: TD in the Higher column indicates a Trend Difference for the continuous variable.

# Visualisation, Descriptive Statistics and Diagnostics by Variable

### Bar Plot

### Density Plot

Aggressive Behaviors by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 4.11 | 5.54 | 0.00 | 18.00 | 14.29 | ! | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 6.19 | 14.87 | 0.00 | 54.00 | 53.85 | * | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 2.19 | 3.42 | 0.00 | 13.00 | 23.08 | ! | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 4.58 | 9.96 | 0.00 | 35.50 | 46.15 | * | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: lognormal
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −25.209 | 11.820 | −48.900 | −2.341 | Fixed Effects
DietCR25 | −0.443 | 0.821 | −2.040 | 1.156 | Fixed Effects
DietCRA | 0.083 | 0.810 | −1.485 | 1.668 | Fixed Effects
DietCRV | −0.132 | 0.822 | −1.752 | 1.486 | Fixed Effects
BW_Ratio | 0.392 | 0.165 | 0.075 | 0.722 | Fixed Effects
Separation | −0.021 | 0.013 | −0.048 | 0.004 | Fixed Effects

### Posterior Check

$data # A tibble: 385 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 0.00112 2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 0.0566 3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 20.8
4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 0.00150 5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 35.1
6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 2.14
7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 0.0697 8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 1.36
9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 2.14
10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 42.3
# ℹ 375 more rows

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | 0.43 | [-1.09, 2.02] | 70.10 | 8.95
Diet: Control vs CRA
Diet: Control vs CRA | -0.05 | [-1.51, 1.57] | 52.45 | 13.80
Diet: Control vs CRV
Diet: Control vs CRV | 0.13 | [-1.49, 1.79] | 55.85 | 12.30
Diet: CR25 vs CRA
Diet: CR25 vs CRA | -0.51 | [-2.74, 1.41] | 68.00 | 8.65
Diet: CR25 vs CRV
Diet: CR25 vs CRV | -0.31 | [-2.30, 1.92] | 61.80 | 9.75
Diet: CRA vs CRV
Diet: CRA vs CRV | 0.19 | [-1.98, 2.23] | 56.40 | 8.70

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Bites by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 2.71 | 5.25 | 0.00 | 16.50 | 64.29 | * | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 4.04 | 11.74 | 0.00 | 42.50 | 69.23 | * | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 0.27 | 0.60 | 0.00 | 2.00 | 76.92 | * | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 2.85 | 6.63 | 0.00 | 22.50 | 61.54 | * | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: bernoulli
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −7.161 | 6.622 | −20.373 | 5.515 | Fixed Effects
DietCR25 | 0.053 | 0.635 | −1.208 | 1.282 | Fixed Effects
DietCRA | −0.430 | 0.637 | −1.690 | 0.813 | Fixed Effects
DietCRV | 0.284 | 0.647 | −0.977 | 1.536 | Fixed Effects
BW_Ratio | 0.096 | 0.091 | −0.079 | 0.278 | Fixed Effects
Separation | −0.001 | 0.007 | −0.015 | 0.013 | Fixed Effects

### Posterior Check

$data # A tibble: 583 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 1 2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 1 3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 0 4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 0 5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 0 6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 0 7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 1 8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 1 9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 1 10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 0 # ℹ 573 more rows

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\(labels\)labels$title [1] “Posterior Predictive Check”

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | -0.05 | [-1.35, 1.12] | 53.05 | 22.80
Diet: Control vs CRA
Diet: Control vs CRA | 0.41 | [-0.84, 1.62] | 75.00 | 17.55
Diet: Control vs CRV
Diet: Control vs CRV | -0.30 | [-1.55, 1.00] | 68.15 | 19.60
Diet: CR25 vs CRA
Diet: CR25 vs CRA | 0.46 | [-1.12, 1.95] | 73.35 | 15.30
Diet: CR25 vs CRV
Diet: CR25 vs CRV | -0.23 | [-1.78, 1.22] | 61.60 | 19.20
Diet: CRA vs CRV
Diet: CRA vs CRV | -0.71 | [-2.25, 0.72] | 82.65 | 13.50

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Clinchs by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 0.00 | 0.00 | 0.00 | 0.00 | 100.00 | * | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 0.00 | 0.00 | 0.00 | 0.00 | 100.00 | * | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 0.54 | 1.94 | 0.00 | 7.00 | 92.31 | * | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 0.08 | 0.28 | 0.00 | 1.00 | 92.31 | * | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: bernoulli
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −63.242 | 29.930 | −133.466 | −16.406 | Fixed Effects
DietCR25 | −0.019 | 0.965 | −1.907 | 1.885 | Fixed Effects
DietCRA | 0.316 | 0.892 | −1.434 | 2.090 | Fixed Effects
DietCRV | −0.122 | 0.905 | −1.896 | 1.654 | Fixed Effects
BW_Ratio | 0.676 | 0.329 | 0.137 | 1.429 | Fixed Effects
Separation | 0.062 | 0.040 | −0.001 | 0.158 | Fixed Effects

### Posterior Check

$data # A tibble: 583 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 0 2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 0 3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 0 4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 0 5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 0 6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 0 7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 0 8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 0 9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 0 10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 0 # ℹ 573 more rows

\(layers\)layers[[1]] mapping: group = ~.data$rep_id, colour = yrep geom_line: na.rm = FALSE, orientation = NA stat_density: bw = nrd0, adjust = 1, kernel = gaussian, n = 1024, trim = FALSE, na.rm = FALSE, bounds = c(-Inf, Inf), orientation = NA position_identity

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\(labels\)labels$title [1] “Posterior Predictive Check”

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | 0.04 | [-1.79, 1.95] | 51.80 | 14.6
Diet: Control vs CRA
Diet: Control vs CRA | -0.30 | [-1.96, 1.56] | 63.90 | 15.0
Diet: Control vs CRV
Diet: Control vs CRV | 0.11 | [-1.78, 1.79] | 54.50 | 16.0
Diet: CR25 vs CRA
Diet: CR25 vs CRA | -0.32 | [-2.95, 2.11] | 59.75 | 11.4
Diet: CR25 vs CRV
Diet: CR25 vs CRV | 0.09 | [-2.51, 2.63] | 53.20 | 10.0
Diet: CRA vs CRV
Diet: CRA vs CRV | 0.41 | [-1.83, 2.63] | 64.05 | 11.3

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Lateral Behaviors by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 0.43 | 0.65 | 0.00 | 2.00 | 57.14 | * | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 1.15 | 3.02 | 0.00 | 11.00 | 61.54 | * | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 0.19 | 0.43 | 0.00 | 1.50 | 76.92 | * | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 0.38 | 0.94 | 0.00 | 2.50 | 84.62 | * | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: bernoulli
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −13.473 | 7.292 | −28.480 | 0.058 | Fixed Effects
DietCR25 | 0.359 | 0.637 | −0.895 | 1.596 | Fixed Effects
DietCRA | −0.540 | 0.637 | −1.811 | 0.696 | Fixed Effects
DietCRV | −0.848 | 0.693 | −2.220 | 0.486 | Fixed Effects
BW_Ratio | 0.171 | 0.099 | −0.016 | 0.375 | Fixed Effects
Separation | 0.006 | 0.008 | −0.009 | 0.022 | Fixed Effects

### Posterior Check

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | -0.37 | [-1.64, 0.81] | 71.15 | 18.55
Diet: Control vs CRA
Diet: Control vs CRA | 0.53 | [-0.60, 1.83] | 81.05 | 16.25
Diet: Control vs CRV
Diet: Control vs CRV | 0.81 | [-0.42, 2.20] | 89.25 | 11.10
Diet: CR25 vs CRA
Diet: CR25 vs CRA | 0.92 | [-0.67, 2.49] | 88.65 | 9.00
Diet: CR25 vs CRV
Diet: CR25 vs CRV | 1.20 | [-0.38, 2.72] | 93.50 | 5.45
Diet: CRA vs CRV
Diet: CRA vs CRV | 0.29 | [-1.29, 1.83] | 63.55 | 15.95

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Fighting by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 0.96 | 0.93 | 0.00 | 3.00 | 28.57 | ! | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 1.00 | 2.21 | 0.00 | 8.00 | 61.54 | * | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 1.19 | 1.20 | 0.00 | 4.50 | 23.08 | ! | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 1.27 | 2.84 | 0.00 | 9.50 | 69.23 | * | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: lognormal
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −22.376 | 12.746 | −48.469 | 1.861 | Fixed Effects
DietCR25 | −0.408 | 0.826 | −2.019 | 1.229 | Fixed Effects
DietCRA | 0.619 | 0.815 | −0.972 | 2.216 | Fixed Effects
DietCRV | −0.548 | 0.853 | −2.215 | 1.124 | Fixed Effects
BW_Ratio | 0.338 | 0.178 | 0.002 | 0.706 | Fixed Effects
Separation | −0.025 | 0.014 | −0.055 | 0.001 | Fixed Effects

### Posterior Check

$data # A tibble: 319 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 1.82
2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 13.4
3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 0.00319
4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 1.36
5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 366.
6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 48.2
7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 0.00131
8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 0.00000572 9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 236.
10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 0.00282
# ℹ 309 more rows

\(layers\)layers[[1]] mapping: group = ~.data$rep_id, colour = yrep geom_line: na.rm = FALSE, orientation = NA stat_density: bw = nrd0, adjust = 1, kernel = gaussian, n = 1024, trim = FALSE, na.rm = FALSE, bounds = c(-Inf, Inf), orientation = NA position_identity

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | 0.41 | [-1.19, 1.93] | 69.90 | 7.45
Diet: Control vs CRA
Diet: Control vs CRA | -0.59 | [-2.09, 0.91] | 77.80 | 7.35
Diet: Control vs CRV
Diet: Control vs CRV | 0.57 | [-0.93, 2.29] | 73.75 | 6.45
Diet: CR25 vs CRA
Diet: CR25 vs CRA | -1.03 | [-2.90, 1.19] | 83.25 | 3.70
Diet: CR25 vs CRV
Diet: CR25 vs CRV | 0.17 | [-1.93, 2.48] | 55.20 | 6.10
Diet: CRA vs CRV
Diet: CRA vs CRV | 1.12 | [-0.97, 3.27] | 85.10 | 2.95

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Dominance (excluding Mounting) by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 0.86 | 0.77 | 0.00 | 2.50 | 14.29 | ! | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 0.92 | 0.98 | 0.00 | 3.50 | 30.77 | ! | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 0.96 | 0.92 | 0.00 | 2.50 | 30.77 | ! | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 0.81 | 1.09 | 0.00 | 3.50 | 38.46 | ! | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: lognormal
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −15.118 | 8.817 | −32.681 | 1.945 | Fixed Effects
DietCR25 | 0.053 | 0.728 | −1.396 | 1.474 | Fixed Effects
DietCRA | −0.204 | 0.725 | −1.588 | 1.222 | Fixed Effects
DietCRV | −0.375 | 0.755 | −1.835 | 1.093 | Fixed Effects
BW_Ratio | 0.204 | 0.123 | −0.032 | 0.450 | Fixed Effects
Separation | −0.003 | 0.010 | −0.022 | 0.016 | Fixed Effects

### Posterior Check

$data # A tibble: 418 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 0.152
2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 1.87
3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 0.000167 4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 0.0417
5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 0.579
6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 1.49
7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 0.0508
8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 0.683
9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 0.00241 10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 0.0758
# ℹ 408 more rows

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\(labels\)labels$title [1] “Posterior Predictive Check”

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | -0.07 | [-1.58, 1.30] | 54.55 | 7.70
Diet: Control vs CRA
Diet: Control vs CRA | 0.19 | [-1.19, 1.58] | 59.80 | 7.55
Diet: Control vs CRV
Diet: Control vs CRV | 0.34 | [-0.96, 1.91] | 68.65 | 5.85
Diet: CR25 vs CRA
Diet: CR25 vs CRA | 0.24 | [-1.54, 2.10] | 61.60 | 6.10
Diet: CR25 vs CRV
Diet: CR25 vs CRV | 0.46 | [-1.38, 2.23] | 69.40 | 4.80
Diet: CRA vs CRV
Diet: CRA vs CRV | 0.22 | [-1.72, 1.96] | 58.70 | 4.45

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Walk overs by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 0.32 | 0.50 | 0.00 | 1.50 | 64.29 | * | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 0.58 | 1.00 | 0.00 | 3.50 | 53.85 | * | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 0.54 | 0.59 | 0.00 | 2.00 | 38.46 | ! | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 0.38 | 0.68 | 0.00 | 2.00 | 69.23 | * | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: bernoulli
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −11.379 | 6.764 | −25.179 | 1.386 | Fixed Effects
DietCR25 | 0.424 | 0.624 | −0.783 | 1.656 | Fixed Effects
DietCRA | 0.689 | 0.605 | −0.495 | 1.876 | Fixed Effects
DietCRV | −0.249 | 0.655 | −1.543 | 1.031 | Fixed Effects
BW_Ratio | 0.157 | 0.094 | −0.020 | 0.350 | Fixed Effects
Separation | 0.001 | 0.007 | −0.013 | 0.015 | Fixed Effects

### Posterior Check

$data # A tibble: 583 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 0 2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 0 3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 0 4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 1 5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 0 6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 0 7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 1 8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 1 9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 0 10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 0 # ℹ 573 more rows

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | -0.44 | [-1.69, 0.74] | 77.05 | 16.65
Diet: Control vs CRA
Diet: Control vs CRA | -0.68 | [-1.88, 0.42] | 87.60 | 12.40
Diet: Control vs CRV
Diet: Control vs CRV | 0.25 | [-0.91, 1.62] | 65.40 | 19.60
Diet: CR25 vs CRA
Diet: CR25 vs CRA | -0.23 | [-1.74, 1.23] | 62.55 | 19.85
Diet: CR25 vs CRV
Diet: CR25 vs CRV | 0.70 | [-0.85, 2.12] | 81.35 | 12.05
Diet: CRA vs CRV
Diet: CRA vs CRV | 0.93 | [-0.53, 2.43] | 88.95 | 9.00

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Walk unders by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 0.54 | 0.57 | 0.00 | 2.00 | 35.71 | ! | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 0.35 | 0.52 | 0.00 | 1.50 | 61.54 | * | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 0.42 | 0.67 | 0.00 | 2.00 | 61.54 | * | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 0.42 | 0.57 | 0.00 | 1.50 | 53.85 | * | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: bernoulli
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −4.726 | 6.241 | −17.179 | 7.449 | Fixed Effects
DietCR25 | −0.387 | 0.611 | −1.609 | 0.795 | Fixed Effects
DietCRA | −0.531 | 0.611 | −1.740 | 0.653 | Fixed Effects
DietCRV | −0.070 | 0.632 | −1.318 | 1.166 | Fixed Effects
BW_Ratio | 0.081 | 0.087 | −0.088 | 0.256 | Fixed Effects
Separation | −0.005 | 0.007 | −0.018 | 0.008 | Fixed Effects

### Posterior Check

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | 0.40 | [-0.82, 1.56] | 73.95 | 19.90
Diet: Control vs CRA
Diet: Control vs CRA | 0.52 | [-0.62, 1.75] | 81.70 | 16.90
Diet: Control vs CRV
Diet: Control vs CRV | 0.07 | [-1.10, 1.39] | 54.50 | 21.15
Diet: CR25 vs CRA
Diet: CR25 vs CRA | 0.15 | [-1.23, 1.59] | 57.75 | 18.10
Diet: CR25 vs CRV
Diet: CR25 vs CRV | -0.33 | [-1.78, 1.10] | 66.85 | 17.85
Diet: CRA vs CRV
Diet: CRA vs CRV | -0.46 | [-2.07, 0.84] | 73.40 | 16.20

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Dominance (including Mounting) by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 10.68 | 5.65 | 3.00 | 24.50 | 0.00 |  | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 9.00 | 5.33 | 3.00 | 20.00 | 0.00 |  | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 6.35 | 4.79 | 0.00 | 14.50 | 15.38 |  | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 10.92 | 9.24 | 1.00 | 31.50 | 0.00 |  | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: lognormal
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −4.982 | 4.133 | −13.084 | 3.176 | Fixed Effects
DietCR25 | 0.088 | 0.477 | −0.859 | 1.028 | Fixed Effects
DietCRA | −1.169 | 0.473 | −2.103 | −0.233 | Fixed Effects
DietCRV | −0.100 | 0.495 | −1.068 | 0.882 | Fixed Effects
BW_Ratio | 0.092 | 0.057 | −0.022 | 0.204 | Fixed Effects
Separation | 0.004 | 0.005 | −0.005 | 0.013 | Fixed Effects

### Posterior Check

$data # A tibble: 561 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 5.99 2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 8.71 3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 1.02 4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 3.15 5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 6.40 6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 10.4 7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 3.91 8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 213.
9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 6.57 10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 5.59 # ℹ 551 more rows

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### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | -0.10 | [-0.97, 0.86] | 56.95 | 10.75
Diet: Control vs CRA
Diet: Control vs CRA | 1.17 | [0.25, 2.11] | 99.30 | 0.60
Diet: Control vs CRV
Diet: Control vs CRV | 0.09 | [-0.96, 0.97] | 56.90 | 11.40
Diet: CR25 vs CRA
Diet: CR25 vs CRA | 1.25 | [0.16, 2.22] | 99.35 | 0.65
Diet: CR25 vs CRV
Diet: CR25 vs CRV | 0.17 | [-0.97, 1.21] | 62.05 | 10.25
Diet: CRA vs CRV
Diet: CRA vs CRV | -1.07 | [-2.09, 0.04] | 97.45 | 1.55

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Mounting by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 9.82 | 5.61 | 3.00 | 24.00 | 0.00 |  | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 8.08 | 5.16 | 1.50 | 19.00 | 0.00 |  | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 5.38 | 4.15 | 0.00 | 12.00 | 15.38 |  | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 10.12 | 8.76 | 1.00 | 29.00 | 0.00 |  | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: lognormal
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −5.173 | 4.216 | −13.572 | 3.074 | Fixed Effects
DietCR25 | 0.054 | 0.475 | −0.888 | 0.985 | Fixed Effects
DietCRA | −1.234 | 0.474 | −2.149 | −0.309 | Fixed Effects
DietCRV | −0.113 | 0.492 | −1.086 | 0.853 | Fixed Effects
BW_Ratio | 0.092 | 0.058 | −0.023 | 0.207 | Fixed Effects
Separation | 0.005 | 0.005 | −0.004 | 0.014 | Fixed Effects

### Posterior Check

$data # A tibble: 561 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 8.41 2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 9.44 3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 4.77 4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 49.5
5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 2.53 6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 28.6
7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 0.702 8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 2.83 9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 38.5
10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 1.32 # ℹ 551 more rows

\(layers\)layers[[1]] mapping: group = ~.data$rep_id, colour = yrep geom_line: na.rm = FALSE, orientation = NA stat_density: bw = nrd0, adjust = 1, kernel = gaussian, n = 1024, trim = FALSE, na.rm = FALSE, bounds = c(-Inf, Inf), orientation = NA position_identity

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\(strip.text.y\)family NULL

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$lineheight NULL

$margin NULL

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$angle [1] 90

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attr(,“class”) [1] “element_text” “element”

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$strip.switch.pad.grid [1] 2.75points

$strip.switch.pad.wrap [1] 2.75points

attr(,“class”) [1] “theme” “gg”
attr(,“complete”) [1] TRUE attr(,“validate”) [1] TRUE

$coordinates <ggproto object: Class CoordCartesian, Coord, gg> aspect: function backtransform_range: function clip: on default: FALSE distance: function draw_panel: function expand: FALSE is_free: function is_linear: function labels: function limits: list modify_scales: function range: function render_axis_h: function render_axis_v: function render_bg: function render_fg: function reverse: none setup_data: function setup_layout: function setup_panel_guides: function setup_panel_params: function setup_params: function train_panel_guides: function transform: function super: <ggproto object: Class CoordCartesian, Coord, gg>

$facet <ggproto object: Class FacetNull, Facet, gg> attach_axes: function attach_strips: function compute_layout: function draw_back: function draw_front: function draw_labels: function draw_panel_content: function draw_panels: function finish_data: function format_strip_labels: function init_gtable: function init_scales: function map_data: function params: list set_panel_size: function setup_data: function setup_panel_params: function setup_params: function shrink: TRUE train_scales: function vars: function super: <ggproto object: Class FacetNull, Facet, gg>

$plot_env <environment: 0x000001a1f13b8548>

$layout <ggproto object: Class Layout, gg> coord: NULL coord_params: list facet: NULL facet_params: list finish_data: function get_scales: function layout: NULL map_position: function panel_params: NULL panel_scales_x: NULL panel_scales_y: NULL render: function render_labels: function reset_scales: function resolve_label: function setup: function setup_panel_guides: function setup_panel_params: function train_position: function super: <ggproto object: Class Layout, gg>

\(labels\)labels$title [1] “Posterior Predictive Check”

\(labels\)x NULL

\(labels\)y NULL

\(labels\)group [1] “rep_id”

\(labels\)colour [1] “colour”

\(labels\)fill [1] “fill” attr(,“fallback”) [1] TRUE

\(labels\)weight [1] “weight” attr(,“fallback”) [1] TRUE

attr(,“class”) [1] “gg” “ggplot”

### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | -0.06 | [-1.01, 0.86] | 55.05 | 11.85
Diet: Control vs CRA
Diet: Control vs CRA | 1.22 | [0.32, 2.16] | 99.45 | 0.45
Diet: Control vs CRV
Diet: Control vs CRV | 0.09 | [-0.87, 1.10] | 58.25 | 12.30
Diet: CR25 vs CRA
Diet: CR25 vs CRA | 1.30 | [0.21, 2.35] | 99.15 | 0.70
Diet: CR25 vs CRV
Diet: CR25 vs CRV | 0.14 | [-0.88, 1.23] | 60.85 | 10.85
Diet: CRA vs CRV
Diet: CRA vs CRV | -1.13 | [-2.27, -0.04] | 97.50 | 1.10

No continuous ROPE effects available.

### Bar Plot

### Density Plot

Submissive Behaviors by Grouping Variables
Summary Statistics with Covariate Descriptives
Diet | N | Mean | SD | Min | Max | Prop Zero (%) | Warning | Body Weight Ratio | Separation Time
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
Mean | SD | Mean | SD
Control | 14 | 13.39 | 6.29 | 5.00 | 26.00 | 0.00 |  | 69.82 | 3.54 | 134.07 | 39.83
CR25 | 13 | 8.69 | 3.67 | 3.00 | 17.00 | 0.00 |  | 67.29 | 2.28 | 158.08 | 44.55
CRA | 13 | 9.00 | 3.95 | 0.50 | 14.50 | 0.00 |  | 69.72 | 3.90 | 156.69 | 45.66
CRV | 13 | 10.54 | 4.85 | 4.00 | 22.50 | 0.00 |  | 68.07 | 4.48 | 188.38 | 48.07

### Summary Table

Model Summary
Family: gaussian
Parameter | Estimate | Std. Error | 2.5% CI | 97.5% CI | Type
--- | --- | --- | --- | --- | ---
Fixed Effects
Intercept | −11.139 | 13.428 | −37.503 | 15.158 | Fixed Effects
DietCR25 | −0.561 | 0.861 | −2.242 | 1.133 | Fixed Effects
DietCRA | −0.759 | 0.854 | −2.444 | 0.934 | Fixed Effects
DietCRV | 0.156 | 0.855 | −1.532 | 1.851 | Fixed Effects
BW_Ratio | 0.349 | 0.186 | −0.017 | 0.712 | Fixed Effects
Separation | −0.014 | 0.015 | −0.044 | 0.015 | Fixed Effects

### Posterior Check

$data # A tibble: 583 × 7 y_id y_name rep_id rep_label is_y is_y_label value 1 1 1 1 italic(y)[rep] ( 1 ) FALSE italic(y)[rep] 19.2 2 1 1 2 italic(y)[rep] ( 2 ) FALSE italic(y)[rep] 12.5 3 1 1 3 italic(y)[rep] ( 3 ) FALSE italic(y)[rep] 2.62 4 1 1 4 italic(y)[rep] ( 4 ) FALSE italic(y)[rep] 20.5 5 1 1 5 italic(y)[rep] ( 5 ) FALSE italic(y)[rep] 5.17 6 1 1 6 italic(y)[rep] ( 6 ) FALSE italic(y)[rep] 15.9 7 1 1 7 italic(y)[rep] ( 7 ) FALSE italic(y)[rep] 11.3 8 1 1 8 italic(y)[rep] ( 8 ) FALSE italic(y)[rep] 21.0 9 1 1 9 italic(y)[rep] ( 9 ) FALSE italic(y)[rep] 6.17 10 1 1 10 italic(y)[rep] ( 10 ) FALSE italic(y)[rep] 10.3 # ℹ 573 more rows

\(layers\)layers[[1]] mapping: group = ~.data$rep_id, colour = yrep geom_line: na.rm = FALSE, orientation = NA stat_density: bw = nrd0, adjust = 1, kernel = gaussian, n = 1024, trim = FALSE, na.rm = FALSE, bounds = c(-Inf, Inf), orientation = NA position_identity

$layers[[2]] mapping: colour = y geom_line: na.rm = FALSE, orientation = NA, lineend = round stat_density: bw = nrd0, adjust = 1, kernel = gaussian, n = 1024, trim = FALSE, na.rm = FALSE, bounds = c(-Inf, Inf), orientation = NA position_identity

$scales <ggproto object: Class ScalesList, gg> add: function add_defaults: function add_missing: function backtransform_df: function clone: function find: function get_scales: function has_scale: function input: function map_df: function n: function non_position_scales: function scales: list set_palettes: function train_df: function transform_df: function super: <ggproto object: Class ScalesList, gg>

$guides <Guides[0] ggproto object>

\(mapping\)x expr: ^.data$value env: 0x000001a1ef84cb28

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\(theme\)line $colour [1] “black”

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\(rect\)fill [1] “white”

$colour [1] “black”

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$linetype [1] 1

$inherit.blank [1] TRUE

attr(,“class”) [1] “element_rect” “element”

\(text\)family [1] “”

$face [1] “plain”

$colour [1] “black”

$size [1] 11

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$margin [1] 0points 0points 0points 0points

$debug [1] FALSE

$inherit.blank [1] TRUE

attr(,“class”) [1] “element_text” “element”

$title NULL

$aspect.ratio NULL

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\(axis.text\)family NULL

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\(labels\)labels$title [1] “Posterior Predictive Check”

\(labels\)x NULL

\(labels\)y NULL

\(labels\)group [1] “rep_id”

\(labels\)colour [1] “colour”

\(labels\)fill [1] “fill” attr(,“fallback”) [1] TRUE

\(labels\)weight [1] “weight” attr(,“fallback”) [1] TRUE

attr(,“class”) [1] “gg” “ggplot”

### Convergence

Effect | Median | [95% HDI] | Direction Prob. | ROPE %
--- | --- | --- | --- | ---
Diet: Control vs CR25
Diet: Control vs CR25 | 0.56 | [-1.06, 2.42] | 73.35 | 37.35
Diet: Control vs CRA
Diet: Control vs CRA | 0.77 | [-0.86, 2.47] | 81.30 | 29.65
Diet: Control vs CRV
Diet: Control vs CRV | -0.20 | [-1.78, 1.57] | 58.90 | 45.00
Diet: CR25 vs CRA
Diet: CR25 vs CRA | 0.17 | [-2.08, 2.31] | 55.55 | 32.85
Diet: CR25 vs CRV
Diet: CR25 vs CRV | -0.77 | [-2.96, 1.57] | 74.20 | 27.80
Diet: CRA vs CRV
Diet: CRA vs CRV | -0.98 | [-3.12, 1.18] | 79.45 | 24.10

No continuous ROPE effects available.

# End of Document