Thanks a lot for the package. Super nice graphs with a minimum of effort - that is nice.
I ran a logistic regression and find the effect plot really helpful. As I understand it, the mean for concinnous and the reference category for categorical variables is used.
I wanted to set the values of some control variables with the argument "at" and created the named list. I do get the same results though (the variables I want to change are factor btw) and it seems "at" is ignored.
data(bacteria)
l_mod <- glm(y ~ trt + week, data = bacteria, family = binomial)
summ(l_mod)
effect_plot(l_mod, pred = trt, centered = "none", interval = TRUE, y.label = "% testing positive")
ex <- list(week = 11)
effect_plot(l_mod, pred = trt, centered = "none", at = ex, interval = TRUE, y.label = "% testing positive")
Thanks a lot for the package. Super nice graphs with a minimum of effort - that is nice. I ran a logistic regression and find the effect plot really helpful. As I understand it, the mean for concinnous and the reference category for categorical variables is used.
I wanted to set the values of some control variables with the argument "at" and created the named list. I do get the same results though (the variables I want to change are factor btw) and it seems "at" is ignored.