search for: db10_means

...win dataset in which the mean of the group is replaced instead of individual values. So for example, groupid 3, I calculate the mean (12+18)/2 and then I replace in the new dataframe, but in the same positions, instead of 12 and 18, the values of the corresponding mean. I found this solution, where db10_means is the output dataset, db10 is my initial data. db10_means<-db10 %>% group_by(groupid) %>% mutate(across(starts_with("cp"), list(mean = mean))) It works perfectly, except that for NA values, where it replaces to all group members the NA, while in some cases, the group is ma...

...for example, groupid 3, I calculate the mean (12+18)/2 and then I > > >>> replace in the new dataframe, but in the same positions, instead of 12 > > >> and > > >>> 18, the values of the corresponding mean. > > >>> I found this solution, where db10_means is the output dataset, db10 is > > my > > >>> initial data. > > >>> > > >>> db10_means<-db10 %>% > > >>> group_by(groupid) %>% > > >>> mutate(across(starts_with("cp"), list(mean = mean))) &gt...