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. 2019 May 1;14(5):e0214640. doi: 10.1371/journal.pone.0214640

Table 4. Results of linear models on the effect of social role and conflict severity at the call level.

Sample size(individuals, screams) Acoustic features Social role (binary: aggressor vs. victim) Severity(binary: mild vs. severe) Social role: Severity R2m − R2c
N = 25N = 301 Duration (s) Estimate
SDT valueCI 95%Padjusted p 		0.510.133.910.26 to 0.77 < 0.001< 0.001 *** 0.300.161.94–0.00 to 0.610.1330.318 -0.260.21–1.27–0.66 to 0.140.2030.365 0.07–0.09
N = 25N = 301 Peak frequency (kHz)
Estimate
SDT valueCI 95%
P adjusted p 		-0.090.20–0.43–0.48 to 0.310.6520.734 -0.280.25–1.09–0.77 to 0.220.1300.318 0.040.330.12–0.61 to 0.690.9040.904 0.01–0.48
N = 25N = 300 Coefficient of frequency modulation
EstimateSDT valueCI 95%Padjusted p 		0.020.160.14–0.30 to 0.340.3590.538 0.300.211.44–0.11 to 0.700.5480.707 -0.370.27–1.38–0.89 to 0.150.1680.336 0.01–0.60
N = 25N = 301 Absolute transition onset (Hz) EstimateSDT valueCI 95%Padjusted p -0.250.16–1.60–0.56 to 0.060.1480.318 0.050.190.29–0.32 to 0.430.1840.349 0.190.250.77–0.30 to 0.680.4420.636 0.01–0.18
N = 25N = 300 Absolute transition offset (Hz) EstimateSDT valueCI 95%Padjusted p -0.150.15–0.99–0.45 to 0.150.3120.493 0.220.181.19–0.14 to 0.580.0280.112 0.080.240.33–0.40 to 0.560.7390.806 0.02–0.14
N = 24N = 293 Q50 (Hz) EstimateSDT valueCI 95%Padjusted p 0.070.041.81–0.01 to 0.140.0030.022 * 0.030.050.67–0.06 to 0.120.0680.222 0.040.060.71–0.08 to 0.160.4780.662 0.05–0.30
N = 25N = 301 IQR (Hz) Estimate SDT valueCI 95%Padjusted p 0.030.021.05–0.02 to 0.070.5890.707 0.010.030.39–0.05 to 0.070.5720.707 -0.040.04–1.00–0.12 to 0.040.3150.493 0.005–0.21
N = 25N = 300 Shannon entropy EstimateSDT valueCI 95%Padjusted p 0.010.020.50–0.02 to 0.040.022 0.099 0.030.021.67–0.01 to 0.07< 0.001< 0.001 *** 0.050.031.960.00 to 0.100.0500.180 0.10–0.32

Significant results are represented by * when adjusted p-values < 0.05, ** <0.01 and *** < 0.001.

R2m corresponds to the variance explained by the fixed effects (marginal); R2c corresponds to the variance explained by both the fixed and random effects (conditional). These numbers help to describe the amount of variation explained by the different factors included in the models.