Closed IndrajeetPatil closed 3 years ago
# setup set.seed(123) library(ggstatsplot) library(rms) ## Dobson (1990) Page 93: Randomized Controlled Trial : counts <- c(18,17,15,20,10,20,25,13,12) outcome <- gl(3,1,9) treatment <- gl(3,3) f <- Glm(counts ~ outcome + treatment, family=poisson()) class(f) #> [1] "Glm" "rms" "glm" "lm" f #> General Linear Model #> #> Glm(formula = counts ~ outcome + treatment, family = poisson()) #> #> Model Likelihood #> Ratio Test #> Obs 9 LR chi2 5.45 #> Residual d.f.4 d.f. 4 #> g 0.2271276 Pr(> chi2) 0.2440 #> #> Coef S.E. Wald Z Pr(>|Z|) #> Intercept 3.0445 0.1709 17.81 <0.0001 #> outcome=2 -0.4543 0.2022 -2.25 0.0246 #> outcome=3 -0.2930 0.1927 -1.52 0.1285 #> treatment=2 0.0000 0.2000 0.00 1.0000 #> treatment=3 0.0000 0.2000 0.00 1.0000 #> parameters::model_parameters(f) #> Error in if (insight::n_obs(model) > 10000 && df_method == "profile") {: missing value where TRUE/FALSE needed
Created on 2020-10-09 by the reprex package (v0.3.0)
closed in https://github.com/easystats/insight/commit/645b89a05e1a51132f993196c135e7d8ff13a48b
Created on 2020-10-09 by the reprex package (v0.3.0)