Change the level of the significance p values in tab_model from sjPlot (R)

Question

I am using the tab_model function to report the results of multiple fixed effects regression. I used the argument p.style = "scientific_stars" to report the statistical significance of the results. However, the values reported are only * p<0.05 ** p<0.01 *** p<0.001. I would like to also report a 90% confidence level (p<0.10). Is it possible to customize the significance level reported in tab_model?

Sample code:

library(fixest)
library(sjPlot)
reg <- feols(mpg ~ vs + wt + disp | gear + am, data = mtcars)

table <- tab_model(reg, auto.label = TRUE, show.se = TRUE, show.ci = FALSE, p.style = "scientific_stars",title = "Table A: ", dv.labels = c("Outcome"), pred.labels = c("IV1", "IV2", "Control"))

jpsmith · Accepted Answer · 2023-03-17T16:12:01.200

You can customize the p-value level using the p.threshold command and the 90% CI using the show.ci command (which is defaulted to 95% CI):

tab_model(reg, auto.label = TRUE, show.se = TRUE, 
          show.ci = 0.90, # 90% CI
          p.threshold = c(0.527, 0.191, 0.00001), #arbitrary p values
          p.style = "scientific_stars",
          title = "Table A: ", dv.labels = c("Outcome"), 
          pred.labels = c("IV1", "IV2", "Control"))

Change the level of the significance p values in tab_model from sjPlot (R)

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