data_Halvorson_2022_pois: data_Halvorson_2022_pois

In SIMPLE.REGRESSION: OLS, Moderated, Logistic, and Count Regressions Made Simple

data_Halvorson_2022_pois

Description

Poisson regression data from Halvorson et al. (2022, p. 293).

Usage

data(data_Halvorson_2022_pois)

Source

Halvorson, M. A., McCabe, C. J., Kim, D. S., Cao, X., & King, K. M. (2022). Making sense of some odd ratios: A tutorial and improvements to present practices in reporting and visualizing quantities of interest for binary and count outcome models. Psychology of Addictive Behaviors, 36(3), 284-295.

Examples

head(data_Halvorson_2022_pois)

# replicating Table 3, p 293
pois_Halvorson <-
  COUNT_REGRESSION(data=data_Halvorson_2022_pois, DV='Neg_OH_conseqs', 
                   forced=c('Gender_factor','Positive_urgency','Planning',
                            'Sensation_seeking'), 
                   plot_type = 'diagnostics')

# replicating Figure 4, p 294
PLOT_MODEL(model = pois_Halvorson, 
           IV_focal_1 = 'Positive_urgency',   
           IV_focal_2 = 'Gender_factor',
           bootstrap=FALSE, N_sims=1000, CI_level=95, 
           ylim = c(0, 20), 
           xlab = 'Positive Urgency',
           ylab = 'Expected Count of Alcohol Consequences', 
           title = 'Expected Count of Alcohol Consequences 
                    by Positive Urgency and Gender') 

SIMPLE.REGRESSION documentation built on June 20, 2025, 9:07 a.m.