AUC of Binomial GLM with Logit Link
f_logistic_auc_balanced.Rd
Fits a logistic GLM model y ~ x
when y
is a binary response with values 0 and 1 and x
is numeric. This function is suitable when the response variable is balanced. If the response is unbalanced, then f_logistic_auc_unbalanced()
should provide better results.
Arguments
- x
(required, character string) name of the predictor variable.
- y
(required, character string) name of the binary response variable
- df
(required, data frame) data frame with the columns 'x' and 'y'.
Examples
data(vi)
#subset to limit example run time
vi <- vi[1:1000, ]
f_logistic_auc_balanced(
x = "growing_season_length", #predictor
y = "vi_binary", #binary response
df = vi
)
#> [1] 0.9367964