Publications by Rick Reneau
NL moderated by Lockdown
Notch Analysis ## Linear mixed model fit by REML. t-tests use Satterthwaite's method [ ## lmerModLmerTest] ## Formula: PA_avg ~ bs(novel_locations, knots = c(1, 26), degree = 1) * ## lockdown + dow + (1 | subject) ## Data: df ## ## REML criterion at convergence: 64690.7 ## ## Scaled residuals: ## Min 1Q Median ...
115 sym R (80603 sym/22 pcs) 11 img
RE_COVID_Simple_Models
PA ~ RE Pre-COVID ## Linear mixed model fit by REML. t-tests use Satterthwaite's method [ ## lmerModLmerTest] ## Formula: PA_avg ~ roaming_entropy + time_of_day + precipi + mean_temp + ## distance + dow + (1 | subject) ## Data: df[which(df$lockdown == 0), ] ## ## REML criterion at convergence: 41650.9 ## ## Scaled residuals: ...
287 sym R (51334 sym/20 pcs) 11 img
RE Individual Differences
## ## Attaching package: 'lubridate' ## The following object is masked from 'package:base': ## ## date Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot. ## Linear mixed model fit by REML. t-tests use Satterthwaite's method [ ## lmerModLmerTest] ## Formula: PA_av...
144 sym R (36862 sym/20 pcs) 19 img
RE Causality
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [ ## lmerModLmerTest] ## Formula: PA_avg ~ pre_ema_RE + (1 | subject) ## Data: df ## ## REML criterion at convergence: 31474.5 ## ## Scaled residuals: ## Min 1Q Median 3Q Max ## -3.3963 -0.5650 0.0435 0.6169 3.8597 ## ## Random effects:...
5 sym R (9541 sym/8 pcs)
RE_COVID_Initital
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [ ## lmerModLmerTest] ## Formula: PA_avg ~ roaming_entropy + time_of_day + precipi + mean_temp + ## distance + dow + (1 | subject) ## Data: df[which(df$lockdown == 0), ] ## ## REML criterion at convergence: 41650.9 ## ## Scaled residuals: ## Min 1Q...
7 sym R (32458 sym/10 pcs) 5 img
COVID_Final_WHO
PA ~ RE Pre-COVID ## Cumulative Link Mixed Model fitted with the Laplace approximation ## ## formula: PA_avg ~ roaming_entropy + time_of_day + precipi + mean_temp + ## distance + dow + (1 | subject) ## data: prelockdown_df ## ## link threshold nobs logLik AIC niter max.grad cond.H ## logit flexible 3752 -7399.04 1...
310 sym R (57408 sym/27 pcs) 11 img
RE_COVID_Initial_ORD
PA ~ RE Pre-COVID ## Cumulative Link Mixed Model fitted with the Laplace approximation ## ## formula: PA_avg ~ roaming_entropy + time_of_day + precipi + mean_temp + ## distance + dow + (1 | subject) ## data: df[which(df$lockdown == 0), ] ## ## link threshold nobs logLik AIC niter max.grad cond.H ## logit flexible ...
282 sym R (41475 sym/60 pcs) 4 img
RE_COVID_Initital_OBS
PA ~ RE Pre-COVID ## Linear mixed model fit by REML. t-tests use Satterthwaite's method [ ## lmerModLmerTest] ## Formula: PA_avg ~ roaming_entropy + time_of_day + precipi + mean_temp + ## distance + dow + (1 | subject) ## Data: df[which(df$lockdown == 0), ] ## ## REML criterion at convergence: 40550 ## ## Scaled residuals: ##...
287 sym R (51377 sym/20 pcs) 11 img
COV Symptom Analysis
Basic Models ## Linear mixed model fit by REML. t-tests use Satterthwaite's method [ ## lmerModLmerTest] ## Formula: moving_depression ~ PA_avg + (1 | subject) ## Data: df ## ## REML criterion at convergence: 31954.7 ## ## Scaled residuals: ## Min 1Q Median 3Q Max ## -3.8659 -0.4592 -0.0273 0.4247 5.6507 ## ...
86 sym R (23966 sym/25 pcs) 17 img
COVID_Novel_Locations_Lockdown_Moderation_OBS
Notch Analysis ## Linear mixed model fit by REML. t-tests use Satterthwaite's method [ ## lmerModLmerTest] ## Formula: PA_avg ~ bs(novel_locations, knots = c(1, 26), degree = 1) * ## lockdown + dow + (1 | subject) ## Data: df ## ## REML criterion at convergence: 63450.2 ## ## Scaled residuals: ## Min 1Q Median ...
115 sym R (79684 sym/22 pcs) 11 img