TAC-deTAC Final Analysis
2025-07-16
Each tab can be clicked on to show off related statistics. All statistics have been computed using RStudio and all data was collected on VevoLab VevoStrain 2.0.
Results
Variable Definitions
| Variable_Name | Definition | Unit |
|---|---|---|
| mouse_ID | Label for each lab mouse | NA |
| time_point | time point and treatment group type | NA |
| true_mitral | 4DUS measured mitral valve diameter | mm |
| calc_mitral | Rounded mitral valve diameter used in VevoLab calculation | mm |
| true_aortic | 4DUS measured aortic valve diameter | mm |
| calc_aortic | Rounded aortic valve diameter used in VevoLab calculation | mm |
| sys_pk | Peak HDF value during systole | % |
| ewave_long_rms | Longitudinal RMS HDF value during diastolic E-wave | % |
| ewave_ratio_rms | Longitudinal to transverse RMS HDF value during diastolic E-wave | % |
| ewave_angle | Average HDF angle during diastolic E-wave | ° |
| cycle_length | Length of the entire heartbeat cycle | ms |
| cycle_long_rms | Longitudinal RMS HDF value during the entire heartbeat | % |
| cycle_trans_rms | Transverse RMS HDF value during the entire heartbeat | % |
| cycle_ratio_rms | Longitudinal to transverse RMS HDF value over the entire heartbeat | % |
| cycle_angle | Average HDF angle over the entire heartbeat | ° |
| sys_length | Length of systole | ms |
| sys_im_length | Length of systolic impulse | ms |
| sys_im_angle | Average HDF angle during systolic impulse | ° |
| sys_im_AUC | Area under the longitudinal curve during systolic impulse | % |
| sys_im_long_rms | Longitudinal RMS HDF value during the systolic impulse | % |
| sys_im_trans_rms | Transverse RMS HDF value during the systolic impulse | % |
| isys_im_length | Length of initial portion of systolic impulse | ms |
| isys_im_long_rms | Longitudinal RMS HDF value during the initial systolic impulse | % |
| dsys_im_length | Length of descending portion of systolic impulse | ms |
| dsys_im_long_rms | Longitudinal RMS HDF value during the descending systolic impulse | % |
| lsys_long_rms | Longitudinal RMS HDF value during the late systole period | % |
| myo_GCS | Myocardial global circumferential strain rate | % |
| myo_GLS | Myocardial global longitudinal strain rate | % |
| endo_GCS | Endocardial global circumferential strain rate | % |
| endo_GLS | Endocardial global longitudinal strain rate | % |
| LV_EF | LV Ejection fraction | % |
| pslax_avg_strain_rate | Parasternal long axis LV average strain rate | d%/dt |
| LV_mass_cor | LV mass corrected mass | mg |
| LVAW_sys | LV anterior wall average thickness during systole | mm |
| LVAW_dias | LV anterior wall average thickness during diastole | mm |
| LVPW_sys | LV posterior wall average thickness during systole | mm |
| LVPW_dias | LV posterior wall average thickness during diastole | mm |
| sax_avg_strain | LV short axis average strain | % |
| LA_EF | LA ejection fraction | % |
| LA_edv | LA end diastolic volume | mL |
| LA_esv | LA end systolic volume | mL |
| LA_strain_mean | LA mean strain | % |
| Ao_pk_vel | Peak aoritc blood flow velocity | mm/s |
| mitral_EA_ratio | Mitral valve blood flow velocity diastolic E-wave to A-wave ratio | NA |
| sys_length_norm | Normalized systole length as a ratio of R to R | % |
| sys_im_length_norm | Normalized systolic impulse length as a ratio of R to R | % |
| isys_im_length_norm | Normalized initial systolic impulse length as a ratio of R to R | % |
| dsys_im_length_norm | Normalized descending systolic impulse length as a ratio of R to R | % |
| isys_dsys_length_ratio | Ratio of initial systolic impulse length to descending systolic impulse length | % |
| isys_dsys_long_ratio | Ratio of initial systolic impulse longitudinal HDF to descending systolic impulse longitudinal HDF | % |
Figure 2
Normality
## === Analyzing: true_mitral ===
## LME P: 0.1502281
##
## === Analyzing: true_aortic ===
## LME P: 0.01273569
##
## === Analyzing: sys_pk ===
## LME P: 0.0006743964
##
## === Analyzing: ewave_long_rms ===
## LME P: 0.201791
##
## === Analyzing: ewave_ratio_rms ===
## LME P: 0.4509752
##
## === Analyzing: ewave_angle ===
## LME P: 0.5142543
##
## === Analyzing: cycle_length ===## boundary (singular) fit: see help('isSingular')## LME P: 0.5015464
##
## === Analyzing: cycle_long_rms ===## boundary (singular) fit: see help('isSingular')## LME P: 0.01496467
##
## === Analyzing: cycle_trans_rms ===## boundary (singular) fit: see help('isSingular')## LME P: 0.9931357
##
## === Analyzing: cycle_ratio_rms ===
## LME P: 0.07405503
##
## === Analyzing: cycle_angle ===
## LME P: 0.1603796
##
## === Analyzing: sys_length ===## boundary (singular) fit: see help('isSingular')## LME P: 0.7026288
##
## === Analyzing: sys_im_length ===## boundary (singular) fit: see help('isSingular')## LME P: 0.2797528
##
## === Analyzing: sys_im_angle ===## boundary (singular) fit: see help('isSingular')## LME P: 0.1335637
##
## === Analyzing: sys_im_AUC ===
## LME P: 0.00152643
##
## === Analyzing: sys_im_long_rms ===
## LME P: 0.0001312536
##
## === Analyzing: sys_im_trans_rms ===## boundary (singular) fit: see help('isSingular')## LME P: 0.1558394
##
## === Analyzing: isys_im_length ===## boundary (singular) fit: see help('isSingular')## LME P: 0.0006819497
##
## === Analyzing: isys_im_long_rms ===## boundary (singular) fit: see help('isSingular')## LME P: 0.0003337566
##
## === Analyzing: dsys_im_length ===
## LME P: 0.0001717036
##
## === Analyzing: dsys_im_long_rms ===
## LME P: 0.0001666867
##
## === Analyzing: lsys_long_rms ===## boundary (singular) fit: see help('isSingular')## LME P: 0.03376443
##
## === Analyzing: myo_GCS ===
## LME P: 9.590857e-05
##
## === Analyzing: myo_GLS ===
## LME P: 5.173217e-06
##
## === Analyzing: endo_GCS ===
## LME P: 0.0001619262
##
## === Analyzing: endo_GLS ===
## LME P: 1.743836e-06
##
## === Analyzing: LV_EF ===
## LME P: 1.671635e-05
##
## === Analyzing: pslax_avg_strain_rate ===## boundary (singular) fit: see help('isSingular')## LME P: 0.1385494
##
## === Analyzing: LV_mass_cor ===## boundary (singular) fit: see help('isSingular')## LME P: 1.1136e-05
##
## === Analyzing: LVAW_sys ===## boundary (singular) fit: see help('isSingular')## LME P: 0.4769215
##
## === Analyzing: LVAW_dias ===
## LME P: 0.006097522
##
## === Analyzing: LVPW_sys ===
## LME P: 0.7380513
##
## === Analyzing: LVPW_dias ===
## LME P: 0.07299802
##
## === Analyzing: sax_avg_strain ===
## LME P: 2.152344e-05
##
## === Analyzing: Ao_pk_vel ===
## LME P: 2.889517e-11
##
## === Analyzing: sys_length_norm ===
## LME P: 0.28588
##
## === Analyzing: sys_im_length_norm ===## boundary (singular) fit: see help('isSingular')## LME P: 0.09937781
##
## === Analyzing: isys_im_length_norm ===## boundary (singular) fit: see help('isSingular')## LME P: 0.0006399792
##
## === Analyzing: dsys_im_length_norm ===
## LME P: 0.0002674289
##
## === Analyzing: isys_dsys_length_ratio ===## boundary (singular) fit: see help('isSingular')## LME P: 0.0009775795
##
## === Analyzing: isys_dsys_long_ratio ===
## LME P: 3.256376e-06
##
## === Analyzing: mitral_EA_ratio ===
## LME P: 0.2258897## Variable LME_P Method_Used
## 35 Ao_pk_vel 2.889517e-11 LME
## 26 endo_GLS 1.743836e-06 LME
## 41 isys_dsys_long_ratio 3.256376e-06 LME
## 24 myo_GLS 5.173217e-06 LME
## 29 LV_mass_cor 1.113600e-05 LME
## 27 LV_EF 1.671635e-05 LME
## 34 sax_avg_strain 2.152344e-05 LME
## 23 myo_GCS 9.590857e-05 LME
## 16 sys_im_long_rms 1.312536e-04 LME
## 25 endo_GCS 1.619262e-04 LME
## 21 dsys_im_long_rms 1.666867e-04 LME
## 20 dsys_im_length 1.717036e-04 LME
## 39 dsys_im_length_norm 2.674289e-04 LME
## 19 isys_im_long_rms 3.337566e-04 LME
## 38 isys_im_length_norm 6.399792e-04 LME
## 3 sys_pk 6.743964e-04 LME
## 18 isys_im_length 6.819497e-04 LME
## 40 isys_dsys_length_ratio 9.775795e-04 LME
## 15 sys_im_AUC 1.526430e-03 LME
## 31 LVAW_dias 6.097522e-03 LME
## 2 true_aortic 1.273569e-02 LME
## 8 cycle_long_rms 1.496467e-02 LME
## 22 lsys_long_rms 3.376443e-02 LME
## 33 LVPW_dias 7.299802e-02 LME
## 10 cycle_ratio_rms 7.405503e-02 LME
## 37 sys_im_length_norm 9.937781e-02 LME
## 14 sys_im_angle 1.335637e-01 LME
## 28 pslax_avg_strain_rate 1.385494e-01 LME
## 1 true_mitral 1.502281e-01 LME
## 17 sys_im_trans_rms 1.558394e-01 LME
## 11 cycle_angle 1.603796e-01 LME
## 4 ewave_long_rms 2.017910e-01 LME
## 42 mitral_EA_ratio 2.258897e-01 LME
## 13 sys_im_length 2.797528e-01 LME
## 36 sys_length_norm 2.858800e-01 LME
## 5 ewave_ratio_rms 4.509752e-01 LME
## 30 LVAW_sys 4.769215e-01 LME
## 7 cycle_length 5.015464e-01 LME
## 6 ewave_angle 5.142543e-01 LME
## 12 sys_length 7.026288e-01 LME
## 32 LVPW_sys 7.380513e-01 LME
## 9 cycle_trans_rms 9.931357e-01 LMESignificance Between Groups
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')Bar Charts for the Data
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
## boundary (singular) fit: see help('isSingular')
Figure 3
Heatmap OLO Small
Figure 4 (Paired TAC-deTAC)
Paired Time Pts
Across All Time Pts
## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## Warning: Some predictor variables are on very different scales: consider rescaling.
## You may also use (g)lmerControl(autoscale = TRUE) to improve numerical stability.## Warning: Some predictor variables are on very different scales: consider rescaling.
## You may also use (g)lmerControl(autoscale = TRUE) to improve numerical stability.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.## boundary (singular) fit: see help('isSingular')## Warning: Can't compute random effect variances. Some variance components equal
## zero. Your model may suffer from singularity (see `?lme4::isSingular`
## and `?performance::check_singularity`).
## Decrease the `tolerance` level to force the calculation of random effect
## variances, or impose priors on your random effects parameters (using
## packages like `brms` or `glmmTMB`).## Random effect variances not available. Returned R2 does not account for random effects.