Results of a GLMM modeling the probability of receiving socio-sexual solicitations on reunion days.

<p>The x-axis is shown on the square root scale. Larger symbols indicate more pairs with the same proportional score. Regression lines indicate expected probabilities of receiving solicitations based on the model. Females were more likely to receive solicitations when they had been separated from the solicitor for longer (P = 0.004). In addition, there was a tendency for joiners to receive more solicitations than residents (P = 0.08). For full model results refer to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0127305#pone.0127305.t002" target="_blank">Table 2</a>.</p

Description of female subjects, the number of urine samples provided and average daily cortisol levels on non-reunion and reunion days.

<p>Description of female subjects, the number of urine samples provided and average daily cortisol levels on non-reunion and reunion days.</p

Proportion of non-reunion and reunion days during which aggression, grooming and socio-sexual solicitations occurred between pairs.

<p>Box plots indicate medians and 25–75% inter-quartile ranges. Dashed lines indicate the expected values on non-reunion and reunion days based on the corresponding model.</p

Results of a GLMM modeling the proportion of solicitations on reunion days that led to socio-sexual interactions.

<p>Solicitations by joiners were almost always accepted, while solicitations by residents were more likely to be rejected (P = 0.002). In addition, solicitations by higher-ranking females were more likely to be accepted (P = 0.014). Box plots as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0127305#pone.0127305.g001" target="_blank">Fig 1</a>. Dashed lines indicate the expected values based on the corresponding model.</p

MASTER_analyses_II_R_file_intake_f

File containing the variables for the GLMM on food intake, analysed in

main_ucp_model_data_r_2018_seasonality_update_with_feed_scans

File containing the variables to analyse variation in urinary C-peptide using an LMM in

MAIN_pan_analysis_III_movement_script_26092016

R script for analysing movement probability in focal trees using GLM

main_pan_analysis_II_intake_poisson_script_07022017

R script for analysing food intake using a GLM

MASTER_analyses_III_R_file_movement_f

File containing the variables to analyse movement probability with a GLMM in

main_ucp_model_script_21022018_seasonality_update_with_feedscans

R script to analyse variation in urinary C-peptide in a LM