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

---

Aggression

Aggressive Behaviors

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

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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
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Convergence

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Bites

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

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$plot_env <environment: 0x000001a1f64a18f8>

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

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Convergence

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Clinchs

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

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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

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Convergence

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Lateral Behaviors

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

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\(labels\)y NULL

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Convergence

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Fighting

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

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Convergence

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Dominance

Dominance (excluding Mounting)

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Walk overs

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

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Convergence

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Walk unders

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

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Convergence

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Dominance (including Mounting)

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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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$plot_env <environment: 0x000001a20074d7e8>

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

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\(labels\)y NULL

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Convergence

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Mounting

Mounting

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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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$angle [1] 90

$lineheight NULL

$margin NULL

$debug NULL

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

$strip.text.y.right NULL

$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

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

Submissive

Submissive Behaviors

Plots

Bar Plot

Density Plot

Summary Statistics

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

Diagnostics

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

attr(,“class”) [1] “uneval”

\(theme\)line $colour [1] “black”

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

\(rect\)fill [1] “white”

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

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$colour [1] “black”

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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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\(axis.title.x\)family NULL

$face NULL

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$margin [1] 0points 0points 2.75points 0points

$debug NULL

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

$axis.title.x.bottom NULL

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$axis.title.y.left NULL

\(axis.title.y.right\)family NULL

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\(axis.text\)family NULL

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$hjust NULL

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$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>

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$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

ROPE Analysis

Categorical

Main Effect

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

Continuous

No continuous ROPE effects available.

End of Document