##    pred
## obs   F   M
##   F 780 194
##   M 485 485

## [1] 0.6507202

##    pred
## obs   F   M
##   F 672 302
##   M 428 542

## [1] 0.6244856

##    pred
## obs   F   M
##   F 604 370
##   M 245 725

## [1] 0.683642

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ open_syll_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1786.8   1814.7   -888.4   1776.8     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.5981 -0.4009 -0.0309  0.3806  2.6769 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.328    2.516   
##  syllable_1 (Intercept) 2.570    1.603   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)            0.4654     0.3113   1.495    0.135    
## open_syll_cntzero      2.2746     0.4987   4.561 5.08e-06 ***
## open_syll_cntone_two   1.6282     0.3839   4.241 2.22e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) opn_s_
## opn_syll_cn  0.007       
## opn_syll_c_ -0.104  0.771

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ dark_v_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1802.8   1830.7   -896.4   1792.8     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4067 -0.4053 -0.0355  0.3802  2.6514 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.465    2.543   
##  syllable_1 (Intercept) 3.119    1.766   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                   Estimate Std. Error z value Pr(>|z|)   
## (Intercept)         0.6843     0.3102   2.206  0.02740 * 
## dark_v_cntzero     -1.2406     0.4795  -2.587  0.00967 **
## dark_v_cntone_two  -0.7949     0.3588  -2.215  0.02673 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) drk_v_
## drk_v_cntzr -0.168       
## drk_v_cntn_ -0.192  0.848

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ light_v_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1809.2   1837.1   -899.6   1799.2     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4394 -0.4088 -0.0375  0.3826  2.5776 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 7.028    2.651   
##  syllable_1 (Intercept) 2.969    1.723   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                    Estimate Std. Error z value Pr(>|z|)  
## (Intercept)         0.55500    0.32342   1.716   0.0862 .
## light_v_cntzero     0.12130    0.47772   0.254   0.7996  
## light_v_cntone_two  0.03229    0.43573   0.074   0.9409  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) lght__
## lght_v_cntz -0.267       
## lght_v_cnt_ -0.303  0.803

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ front_v_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1798.0   1825.9   -894.0   1788.0     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.5658 -0.4095 -0.0313  0.3807  2.4007 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.073    2.464   
##  syllable_1 (Intercept) 3.205    1.790   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                    Estimate Std. Error z value Pr(>|z|)    
## (Intercept)        -0.07682    0.35493  -0.216 0.828652    
## front_v_cntzero     1.71998    0.55373   3.106 0.001895 ** 
## front_v_cntone_two  1.51670    0.45001   3.370 0.000751 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) frnt__
## frnt_v_cntz -0.512       
## frnt_v_cnt_ -0.509  0.859

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ back_v_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1800.5   1828.4   -895.3   1790.5     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3124 -0.4038 -0.0355  0.3822  2.6481 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.248    2.500   
##  syllable_1 (Intercept) 3.074    1.753   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                   Estimate Std. Error z value Pr(>|z|)   
## (Intercept)         0.8836     0.3459   2.555  0.01062 * 
## back_v_cntzero     -1.4284     0.5321  -2.684  0.00727 **
## back_v_cntone_two  -0.7206     0.5036  -1.431  0.15246   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) bck_v_
## bck_v_cntzr -0.457       
## bck_v_cntn_ -0.481  0.829

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ high_v_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1809.3   1837.2   -899.7   1799.3     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4244 -0.4090 -0.0373  0.3826  2.5648 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 7.025    2.65    
##  syllable_1 (Intercept) 2.958    1.72    
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                   Estimate Std. Error z value Pr(>|z|)  
## (Intercept)        0.57710    0.32020   1.802   0.0715 .
## high_v_cntzero    -0.05076    0.48666  -0.104   0.9169  
## high_v_cntone_two -0.04318    0.35552  -0.121   0.9033  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) hgh_v_
## hgh_v_cntzr -0.243       
## hgh_v_cntn_ -0.276  0.845

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ low_v_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1808.9   1836.8   -899.5   1798.9     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4217 -0.4071 -0.0369  0.3807  2.5961 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.968    2.640   
##  syllable_1 (Intercept) 3.000    1.732   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                  Estimate Std. Error z value Pr(>|z|)
## (Intercept)        0.4285     0.3813   1.124    0.261
## low_v_cntzero      0.3718     0.5668   0.656    0.512
## low_v_cntone_two   0.2641     0.5961   0.443    0.658
## 
## Correlation of Fixed Effects:
##             (Intr) lw_v_c
## low_v_cntzr -0.573       
## lw_v_cntn_t -0.543  0.799

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ round_v_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1800.3   1828.2   -895.1   1790.3     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2930 -0.4033 -0.0356  0.3829  2.6477 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.228    2.496   
##  syllable_1 (Intercept) 3.073    1.753   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                    Estimate Std. Error z value Pr(>|z|)   
## (Intercept)          0.8840     0.3435   2.573  0.01007 * 
## round_v_cntzero     -1.4569     0.5288  -2.755  0.00587 **
## round_v_cntone_two  -0.7596     0.4993  -1.521  0.12821   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) rnd_v_
## rnd_v_cntzr -0.445       
## rnd_v_cntn_ -0.473  0.828

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ diphthongs + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1807.9   1835.8   -898.9   1797.9     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3921 -0.4068 -0.0368  0.3815  2.5729 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.884    2.624   
##  syllable_1 (Intercept) 2.997    1.731   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                   Estimate Std. Error z value Pr(>|z|)  
## (Intercept)         0.7545     0.3808   1.981   0.0475 *
## diphthongszero     -0.5969     0.5688  -1.050   0.2939  
## diphthongsone_two  -0.2748     0.5493  -0.500   0.6169  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) dphthn
## diphthngszr -0.572       
## dphthngsn_t -0.557  0.821

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ w_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1800.7   1822.9   -896.3   1792.7     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3901 -0.4111 -0.0375  0.3812  2.5532 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.939    2.634   
##  syllable_1 (Intercept) 2.862    1.692   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)   
## (Intercept)   1.4478     0.4789   3.023   0.0025 **
## w_cnt1        2.0876     0.8282   2.521   0.0117 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## w_cnt1 0.744

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ j_cnt + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1809.3   1837.2   -899.7   1799.3     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4316 -0.4106 -0.0374  0.3841  2.5609 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 7.029    2.651   
##  syllable_1 (Intercept) 2.951    1.718   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##              Estimate Std. Error z value Pr(>|z|)
## (Intercept)   0.57286    0.42537   1.347    0.178
## j_cntzero     0.01982    0.63544   0.031    0.975
## j_cntone_two -0.06890    0.66447  -0.104    0.917
## 
## Correlation of Fixed Effects:
##             (Intr) j_cntz
## j_cntzero   -0.673       
## j_cntone_tw -0.646  0.833

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ stops + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1787.5   1815.4   -888.8   1777.5     1939 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2202 -0.4104 -0.0357  0.3759  2.6083 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.504    2.550   
##  syllable_1 (Intercept) 2.747    1.657   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##              Estimate Std. Error z value Pr(>|z|)    
## (Intercept)    1.3370     0.3842   3.480 0.000502 ***
## stopszero     -2.3427     0.5666  -4.135 3.55e-05 ***
## stopsone_two  -1.1910     0.5786  -2.058 0.039548 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) stpszr
## stopszero   -0.571       
## stopsone_tw -0.526  0.787

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ sonorants + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1807.5   1840.9   -897.7   1795.5     1938 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.5447 -0.4025 -0.0379  0.3781  2.6041 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 7.079    2.661   
##  syllable_1 (Intercept) 2.826    1.681   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                    Estimate Std. Error z value Pr(>|z|)  
## (Intercept)          0.5557     0.3281   1.694   0.0903 .
## sonorantszero       -0.9948     0.5699  -1.746   0.0809 .
## sonorantsone        -0.4024     0.4546  -0.885   0.3761  
## sonorantstwo_three  -0.4019     0.5062  -0.794   0.4273  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) snrntsz snrntsn
## sonorantszr -0.126                
## sonorantson -0.273  0.828         
## snrntstw_th -0.322  0.600   0.779

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ plain + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1801.6   1835.1   -894.8   1789.6     1938 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2792 -0.4058 -0.0368  0.3783  2.7033 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.262    2.502   
##  syllable_1 (Intercept) 2.911    1.706   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                Estimate Std. Error z value Pr(>|z|)   
## (Intercept)      0.8833     0.4060   2.175  0.02960 * 
## plainzero       -1.9483     0.6561  -2.969  0.00298 **
## plainone        -1.4007     0.6879  -2.036  0.04174 * 
## plaintwo_three  -1.1669     1.1821  -0.987  0.32357   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) planzr plainn
## plainzero   -0.463              
## plainone    -0.634  0.854       
## plaintw_thr -0.670  0.636  0.883

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ tense + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1806.4   1828.7   -899.2   1798.4     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4275 -0.4087 -0.0372  0.3840  2.5576 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 7.126    2.669   
##  syllable_1 (Intercept) 2.903    1.704   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)
## (Intercept)    1.608      1.064   1.512    0.131
## tense1         2.152      2.113   1.018    0.308
## 
## Correlation of Fixed Effects:
##        (Intr)
## tense1 0.953

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ aspirated + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1801.5   1823.8   -896.8   1793.5     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3971 -0.4079 -0.0357  0.3807  2.5699 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.927    2.632   
##  syllable_1 (Intercept) 2.924    1.710   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)   
## (Intercept)   1.2480     0.4319   2.890  0.00386 **
## aspirated1    1.6966     0.7135   2.378  0.01742 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr)
## aspirated1 0.671

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ initial_snd_type + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2390.2   2407.0  -1192.1   2384.2     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.9526 -0.7651 -0.2140  0.7768  3.0933 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.456    1.567   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##                   Estimate Std. Error z value Pr(>|z|)
## (Intercept)        -0.0946     0.2187  -0.433    0.665
## initial_snd_typeV  -0.2564     0.4370  -0.587    0.557
## 
## Correlation of Fixed Effects:
##             (Intr)
## intl_snd_tV 0.613

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ syll_1_type + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2378.6   2395.3  -1186.3   2372.6     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.0074 -0.7626 -0.2165  0.7680  3.1122 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 1.987    1.41    
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##                 Estimate Std. Error z value Pr(>|z|)    
## (Intercept)       0.1033     0.1619   0.638 0.523605    
## syll_1_typeOpen  -1.1673     0.3242  -3.601 0.000317 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## syll_1_typO -0.189

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ height + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2391.1   2413.4  -1191.5   2383.1     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.9728 -0.7642 -0.2152  0.7755  3.0836 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.462    1.569   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##               Estimate Std. Error z value Pr(>|z|)
## (Intercept)   -0.04983    0.17628  -0.283    0.777
## heighthigh     0.27831    0.37349   0.745    0.456
## heightlow_mid -0.45848    0.43275  -1.059    0.289
## 
## Correlation of Fixed Effects:
##             (Intr) hghthg
## heighthigh  -0.006       
## heightlw_md  0.193 -0.137

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ backness + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2392.3   2414.6  -1192.2   2384.3     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.9360 -0.7633 -0.2116  0.7790  3.1327 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.472    1.572   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##                      Estimate Std. Error z value Pr(>|z|)
## (Intercept)          -0.03521    0.17854  -0.197    0.844
## backnessfront        -0.15927    0.39156  -0.407    0.684
## backnessback_central -0.10287    0.42086  -0.244    0.807
## 
## Correlation of Fixed Effects:
##             (Intr) bcknss
## backnssfrnt  0.099       
## bcknssbck_c  0.206 -0.140

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ dark_bright + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2390.1   2412.4  -1191.1   2382.1     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.8357 -0.7670 -0.2046  0.7662  3.0405 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.451    1.565   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##                        Estimate Std. Error z value Pr(>|z|)
## (Intercept)            -0.01060    0.18247  -0.058    0.954
## dark_brightneutral      0.01197    0.43335   0.028    0.978
## dark_brightbright_dark -0.60969    0.38771  -1.573    0.116
## 
## Correlation of Fixed Effects:
##             (Intr) drk_br
## drk_brghtnt  0.323       
## drk_brghtb_ -0.009  0.010

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ round_v_cnt + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2390.5   2407.3  -1192.3   2384.5     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.9620 -0.7648 -0.2135  0.7776  3.1117 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.475    1.573   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##              Estimate Std. Error z value Pr(>|z|)
## (Intercept)   0.03996    0.33068   0.121    0.904
## round_v_cnt1  0.07763    0.38828   0.200    0.842
## 
## Correlation of Fixed Effects:
##             (Intr)
## rond_v_cnt1 0.852

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ vowel_length + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2388.6   2410.8  -1190.3   2380.6     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.8704 -0.7702 -0.2126  0.7329  3.1095 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.374    1.541   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##                       Estimate Std. Error z value Pr(>|z|)  
## (Intercept)             0.5475     0.3324   1.647   0.0995 .
## vowel_lengthmono_diph  -0.9997     0.5264  -1.899   0.0575 .
## vowel_lengthj_w        -1.6102     0.9791  -1.645   0.1000  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) vwl_lngthm_
## vwl_lngthm_ -0.842            
## vwl_lngthj_ -0.650  0.617

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ stops + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2386.4   2403.1  -1190.2   2380.4     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.1115 -0.7686 -0.2129  0.7804  3.1130 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.297    1.516   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)  
## (Intercept)   0.2149     0.2006   1.071   0.2841  
## stops1        0.8383     0.4011   2.090   0.0366 *
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## stops1 0.543

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ sonorants + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2388.9   2411.2  -1190.5   2380.9     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.0073 -0.7657 -0.2085  0.7797  3.1460 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.323    1.524   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##                  Estimate Std. Error z value Pr(>|z|)
## (Intercept)      -0.05232    0.37393  -0.140    0.889
## sonorantszero    -0.41582    0.59639  -0.697    0.486
## sonorantsone_two  0.49266    1.09524   0.450    0.653
## 
## Correlation of Fixed Effects:
##             (Intr) snrnts
## sonorantszr -0.811       
## sonrntsn_tw -0.879  0.824

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ plain + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2390.0   2412.3  -1191.0   2382.0     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.9399 -0.7727 -0.2176  0.7804  3.0703 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.384    1.544   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##              Estimate Std. Error z value Pr(>|z|)
## (Intercept)    0.6338     0.5393   1.175    0.240
## plainzero     -1.2900     0.8433  -1.530    0.126
## plainone_two  -1.9749     1.5954  -1.238    0.216
## 
## Correlation of Fixed Effects:
##             (Intr) planzr
## plainzero   -0.876       
## plainone_tw -0.947  0.908

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ aspirated + (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2388.6   2405.3  -1191.3   2382.6     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.9072 -0.7708 -0.2116  0.7783  3.1130 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 2.436    1.561   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)
## (Intercept)   0.4132     0.3494   1.183    0.237
## aspirated1    0.9860     0.7001   1.408    0.159
## 
## Correlation of Fixed Effects:
##            (Intr)
## aspirated1 0.870

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ initial_snd_type + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2017.3   2034.0  -1005.6   2011.3     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.7487 -0.6135 -0.1371  0.5670  3.3289 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.771    2.602   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##                   Estimate Std. Error z value Pr(>|z|)
## (Intercept)        0.07186    0.29034   0.247    0.805
## initial_snd_typeV -0.65361    0.58096  -1.125    0.261
## 
## Correlation of Fixed Effects:
##             (Intr)
## intl_snd_tV 0.570

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ syll_2_type + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2010.1   2026.8  -1002.1   2004.1     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.8114 -0.6073 -0.1243  0.5790  3.3708 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.509    2.551   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##                 Estimate Std. Error z value Pr(>|z|)   
## (Intercept)      0.02518    0.24714   0.102  0.91885   
## syll_2_typeOpen -1.46275    0.49875  -2.933  0.00336 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## syll_2_typO 0.310

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ height + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2018.9   2041.2  -1005.4   2010.9     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.5865 -0.6134 -0.1264  0.5669  3.3436 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.856    2.618   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##               Estimate Std. Error z value Pr(>|z|)
## (Intercept)     0.1519     0.2528   0.601    0.548
## heighthigh      0.3722     0.4991   0.746    0.456
## heightlow_mid  -0.7858     0.6620  -1.187    0.235
## 
## Correlation of Fixed Effects:
##             (Intr) hghthg
## heighthigh  -0.205       
## heightlw_md  0.277 -0.219

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ backness + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2005.2   2027.4   -998.6   1997.2     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.6220 -0.6224 -0.1431  0.5655  3.5863 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 5.901    2.429   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)            0.1035     0.2414   0.429 0.668189    
## backnessfront         -1.9827     0.5620  -3.528 0.000419 ***
## backnessback_central   1.0190     0.5409   1.884 0.059572 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) bcknss
## backnssfrnt  0.194       
## bcknssbck_c  0.101 -0.077

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ dark_bright + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2008.8   2031.1  -1000.4   2000.8     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.5663 -0.6202 -0.1384  0.5604  3.5455 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 5.989    2.447   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##                         Estimate Std. Error z value Pr(>|z|)   
## (Intercept)             0.001852   0.237678   0.008  0.99378   
## dark_brightneutral     -1.529510   0.555312  -2.754  0.00588 **
## dark_brightbright_dark -1.059477   0.518312  -2.044  0.04094 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) drk_br
## drk_brghtnt  0.274       
## drk_brghtb_  0.085 -0.055

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ round_v_cnt + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2008.6   2025.4  -1001.3   2002.6     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.5154 -0.6218 -0.1335  0.5596  3.3994 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.091    2.468   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##              Estimate Std. Error z value Pr(>|z|)   
## (Intercept)    1.2756     0.3928   3.248  0.00116 **
## round_v_cnt1   1.5669     0.4826   3.247  0.00117 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## rond_v_cnt1 0.813

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ vowel_length + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2014.0   2036.3  -1003.0   2006.0     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.6455 -0.6104 -0.1322  0.5715  3.3893 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.701    2.589   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##                       Estimate Std. Error z value Pr(>|z|)   
## (Intercept)             1.1575     0.4490   2.578  0.00993 **
## vowel_lengthmono_diph  -1.7663     0.7151  -2.470  0.01351 * 
## vowel_lengthj_w        -2.0526     1.2915  -1.589  0.11199   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) vwl_lngthm_
## vwl_lngthm_ -0.812            
## vwl_lngthj_ -0.627  0.588

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ stops + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2000.5   2022.8   -996.2   1992.5     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.5549 -0.6080 -0.1287  0.5754  3.4438 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.559    2.561   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##              Estimate Std. Error z value Pr(>|z|)
## (Intercept)    0.9546     0.8273   1.154    0.249
## stopszero     -1.9740     1.2712  -1.553    0.120
## stopsone_two   1.2541     2.4434   0.513    0.608
## 
## Correlation of Fixed Effects:
##             (Intr) stpszr
## stopszero   -0.943       
## stopsone_tw -0.897  0.875

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ sonorants + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2014.0   2036.3  -1003.0   2006.0     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.7944 -0.6123 -0.1392  0.5647  3.6354 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.688    2.586   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##                  Estimate Std. Error z value Pr(>|z|)  
## (Intercept)       -0.1405     0.2819  -0.498   0.6183  
## sonorantszero      0.5540     0.5622   0.985   0.3244  
## sonorantsone_two   1.8932     0.7374   2.567   0.0103 *
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) snrnts
## sonorantszr -0.177       
## sonrntsn_tw -0.536  0.408

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ plain + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2004.4   2026.7   -998.2   1996.4     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.4977 -0.6161 -0.1310  0.5672  3.4306 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.178    2.486   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##              Estimate Std. Error z value Pr(>|z|)    
## (Intercept)    1.6144     0.5156   3.131 0.001742 ** 
## plainzero     -3.0492     0.8297  -3.675 0.000238 ***
## plainone_two  -4.0477     1.4962  -2.705 0.006823 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) planzr
## plainzero   -0.798       
## plainone_tw -0.872  0.814

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ tense + (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1806.4   1828.7   -899.2   1798.4     1940 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4275 -0.4087 -0.0372  0.3840  2.5576 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 7.126    2.669   
##  syllable_1 (Intercept) 2.903    1.704   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)
## (Intercept)    1.608      1.064   1.512    0.131
## tense1         2.152      2.113   1.018    0.308
## 
## Correlation of Fixed Effects:
##        (Intr)
## tense1 0.953

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ aspirated + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2015.2   2031.9  -1004.6   2009.2     1941 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -5.3318 -0.6117 -0.1338  0.5693  3.3629 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 6.819    2.611   
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)  
## (Intercept)   1.3464     0.6492   2.074   0.0381 *
## aspirated1    2.3468     1.2920   1.816   0.0693 .
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr)
## aspirated1 0.923

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ open_syll_cnt + stops + round_v_cnt + w_cnt + aspirated +  
##     (1 | syllable_1) + (1 | syllable_2)
##    Data: dat_phonetic_full
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1745.2   1806.5   -861.6   1723.2     1933 
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -3.12394 -0.39385 -0.02739  0.37066  2.89442 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 4.619    2.149   
##  syllable_1 (Intercept) 2.254    1.501   
## Number of obs: 1944, groups:  syllable_2, 163; syllable_1, 123
## 
## Fixed effects:
##                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)            3.3817     0.6168   5.482 4.20e-08 ***
## open_syll_cntzero      2.3735     0.4747   5.000 5.73e-07 ***
## open_syll_cntone_two   1.6549     0.3670   4.509 6.52e-06 ***
## stopszero             -2.1418     0.5255  -4.076 4.59e-05 ***
## stopsone_two          -1.0479     0.5593  -1.874  0.06099 .  
## round_v_cntzero       -2.0938     0.5209  -4.020 5.82e-05 ***
## round_v_cntone_two    -1.1612     0.5119  -2.268  0.02331 *  
## w_cnt1                 2.3789     0.7810   3.046  0.00232 ** 
## aspirated1             1.8403     0.6450   2.853  0.00433 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) opn_s_ opn___ stpszr stpsn_ rnd_v_ rnd___ w_cnt1
## opn_syll_cn  0.069                                                 
## opn_syll_c_ -0.005  0.751                                          
## stopszero   -0.412  0.012  0.014                                   
## stopsone_tw -0.353  0.001  0.016  0.776                            
## rnd_v_cntzr -0.364 -0.176 -0.161  0.084  0.056                     
## rnd_v_cntn_ -0.335 -0.111 -0.109  0.053  0.039  0.818              
## w_cnt1       0.628  0.002 -0.009 -0.096 -0.061 -0.091 -0.050       
## aspirated1   0.483  0.069  0.060 -0.012  0.009 -0.105 -0.067  0.065

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ syll_1_type + stops + aspirated + vowel_length + height +  
##     (1 | syllable_1)
##    Data: dat_phonetic_s1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2375.1   2425.3  -1178.6   2357.1     1935 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.1189 -0.7544 -0.2202  0.7678  3.0884 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_1 (Intercept) 1.62     1.273   
## Number of obs: 1944, groups:  syllable_1, 123
## 
## Fixed effects:
##                       Estimate Std. Error z value Pr(>|z|)    
## (Intercept)             1.4481     0.4383   3.304 0.000954 ***
## syll_1_typeOpen        -1.1376     0.3081  -3.693 0.000222 ***
## stops1                  0.8874     0.3600   2.465 0.013701 *  
## aspirated1              1.3896     0.6390   2.175 0.029648 *  
## vowel_lengthmono_diph  -0.8638     0.4872  -1.773 0.076222 .  
## vowel_lengthj_w        -1.9670     0.9052  -2.173 0.029785 *  
## heighthigh              0.5458     0.3272   1.668 0.095257 .  
## heightlow_mid          -0.5743     0.4112  -1.397 0.162525    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) sy_1_O stops1 asprt1 vwl_lngthm_ vwl_lngthj_ hghthg
## syll_1_typO -0.052                                                    
## stops1       0.246  0.002                                             
## aspirated1   0.671 -0.035  0.006                                      
## vwl_lngthm_ -0.660 -0.094 -0.021 -0.092                               
## vwl_lngthj_ -0.495  0.026 -0.046 -0.052  0.616                        
## heighthigh   0.197 -0.029  0.131  0.178 -0.104      -0.067            
## heightlw_md -0.079 -0.071 -0.064 -0.260 -0.082       0.167      -0.170

## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) [glmerMod
## ]
##  Family: binomial  ( logit )
## Formula: Sex ~ stops + backness + vowel_length + plain + syll_2_type +  
##     aspirated + (1 | syllable_2)
##    Data: dat_phonetic_s2
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+06))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1967.4   2034.2   -971.7   1943.4     1932 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.8161 -0.6232 -0.1210  0.5828  3.6271 
## 
## Random effects:
##  Groups     Name        Variance Std.Dev.
##  syllable_2 (Intercept) 3.96     1.99    
## Number of obs: 1944, groups:  syllable_2, 163
## 
## Fixed effects:
##                       Estimate Std. Error z value Pr(>|z|)    
## (Intercept)             2.5165     0.9779   2.573  0.01007 *  
## stopszero               7.7263    13.2529   0.583  0.55990    
## stopsone_two           18.1481    26.5103   0.685  0.49362    
## backnessfront          -1.4482     0.5261  -2.753  0.00591 ** 
## backnessback_central    2.0185     0.5069   3.982 6.83e-05 ***
## vowel_lengthmono_diph  -1.5956     0.6148  -2.595  0.00945 ** 
## vowel_lengthj_w        -3.1816     1.1127  -2.859  0.00425 ** 
## plainzero              -9.5075    13.2346  -0.718  0.47252    
## plainone_two          -17.3870    26.4673  -0.657  0.51123    
## syll_2_typeOpen        -1.1714     0.4733  -2.475  0.01332 *  
## aspirated1              2.7568     1.1840   2.328  0.01989 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) stpszr stpsn_ bcknss bckns_ vwl_lngthm_ vwl_lngthj_ planzr plnn_t
## stopszero   -0.045                                                                  
## stopsone_tw -0.041  0.999                                                           
## backnssfrnt -0.048  0.008  0.005                                                    
## bcknssbck_c  0.081  0.002  0.006  0.042                                             
## vwl_lngthm_ -0.390  0.002  0.001 -0.144 -0.218                                      
## vwl_lngthj_ -0.269  0.004 -0.004  0.086 -0.193  0.578                               
## plainzero   -0.014 -0.997 -0.996  0.002 -0.002  0.002      -0.001                   
## plainone_tw -0.012 -0.996 -0.997  0.005  0.001  0.001       0.002       0.999       
## syll_2_typO  0.090 -0.006 -0.003 -0.250 -0.303  0.045       0.094      -0.001 -0.006
## aspirated1   0.584 -0.004 -0.010 -0.022  0.063 -0.076      -0.016       0.000  0.008
##             sy_2_O
## stopszero         
## stopsone_tw       
## backnssfrnt       
## bcknssbck_c       
## vwl_lngthm_       
## vwl_lngthj_       
## plainzero         
## plainone_tw       
## syll_2_typO       
## aspirated1  -0.050

## R version 3.6.2 (2019-12-12)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS Catalina 10.15.5
## 
## Matrix products: default
## BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
## 
## Random number generation:
##  RNG:     Mersenne-Twister 
##  Normal:  Inversion 
##  Sample:  Rounding 
##  
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] ggpubr_0.3.0                  rpart_4.1-15                 
##  [3] forcats_0.4.0                 stringr_1.4.0                
##  [5] dplyr_0.8.4                   purrr_0.3.3                  
##  [7] readr_1.3.1                   tidyr_1.0.2                  
##  [9] tibble_2.1.3                  ggplot2_3.2.1                
## [11] tidyverse_1.3.0               lmerTest_3.1-1               
## [13] lme4_1.1-21                   Matrix_1.2-18                
## [15] LMERConvenienceFunctions_2.10 knitr_1.28                   
## 
## loaded via a namespace (and not attached):
##  [1] nlme_3.1-142            fs_1.3.1                lubridate_1.7.4        
##  [4] webshot_0.5.2           httr_1.4.1              numDeriv_2016.8-1.1    
##  [7] tools_3.6.2             backports_1.1.5         utf8_1.1.4             
## [10] R6_2.4.1                DBI_1.1.0               lazyeval_0.2.2         
## [13] mgcv_1.8-31             colorspace_1.4-1        manipulateWidget_0.10.0
## [16] withr_2.1.2             tidyselect_1.0.0        curl_4.3               
## [19] compiler_3.6.2          cli_2.0.1               rvest_0.3.5            
## [22] xml2_1.2.2              labeling_0.3            scales_1.1.0           
## [25] digest_0.6.23           foreign_0.8-72          minqa_1.2.4            
## [28] rio_0.5.16              pkgconfig_2.0.3         htmltools_0.4.0        
## [31] dbplyr_1.4.2            fastmap_1.0.1           highr_0.8              
## [34] maps_3.3.0              htmlwidgets_1.5.1       rlang_0.4.4            
## [37] readxl_1.3.1            rstudioapi_0.10         shiny_1.4.0            
## [40] farver_2.0.3            generics_0.0.2          jsonlite_1.6.1         
## [43] crosstalk_1.0.0         zip_2.0.4               car_3.0-6              
## [46] magrittr_1.5            dotCall64_1.0-0         Rcpp_1.0.3             
## [49] munsell_0.5.0           fansi_0.4.1             abind_1.4-5            
## [52] lifecycle_0.1.0         stringi_1.4.5           carData_3.0-3          
## [55] MASS_7.3-51.4           plyr_1.8.5              grid_3.6.2             
## [58] parallel_3.6.2          promises_1.1.0          crayon_1.3.4           
## [61] miniUI_0.1.1.1          lattice_0.20-38         cowplot_1.0.0          
## [64] haven_2.2.0             splines_3.6.2           hms_0.5.3              
## [67] pillar_1.4.3            boot_1.3-23             ggsignif_0.6.0         
## [70] reshape2_1.4.3          reprex_0.3.0            glue_1.3.1             
## [73] evaluate_0.14           data.table_1.12.8       modelr_0.1.5           
## [76] vctrs_0.2.2             spam_2.5-1              nloptr_1.2.1           
## [79] httpuv_1.5.2            cellranger_1.1.0        gtable_0.3.0           
## [82] assertthat_0.2.1        openxlsx_4.1.4          xfun_0.12              
## [85] LCFdata_2.0             mime_0.9                xtable_1.8-4           
## [88] broom_0.5.4             rstatix_0.5.0           later_1.0.0            
## [91] fields_10.3             rgl_0.100.47

## [1] "2020-07-13 15:41:55 EDT"