I have a code like that : library("survival") library("survminer") data("lung") res.cox <- coxph(Surv(time, status) ~ sex, data = lung) x<-confint(res.
Is there a way I can attach some sort of confidence with my predictions from Decision Tree Regression output in python? from sklearn.tree import DecisionTreeR
Hello and thank you for you time and consideration, I'd like to recreate this graph with ggplot. The top blue dots are the predicted values from my fitted model
I am trying to calculate the risk ratio for coinfection using the code: *NET_post4['VCandShig']<-NA NET_post4$VCandShig <- ifelse(NET_post4$VC=="Negative
I am trying to calculate the mean and confidence interval(95%) of a column "Force" in a large dataset. I need the result by using the groupby function by groupi