Hello Everyone, I have a query about uncertainty analysis and would really appreciate some help in this regard.
I intend to gapfill the NAs in the “X” column of the dataframe (Df1). I have grouped the data using the column “Group” , determined the mean and generated the “Z” column. While I am using the mean and standard error approach to generate the uncertainty analysis, can we use the bootstrap approach to generate the uncertainty for the “Z” column? Any help in this regard will be really appreciated. Regards, Bhaskar --------------------------------------------------------------- Df1 <- Group X Y Z 1 2 3 2 1 NA 3 3 1 3 3 3 1 4 3 4 2 2 2 1 2 NA 2 3 2 NA 2 3 2 4 2 4 3 2 2 2 3 NA 2 2 3 2 2 2 ------------------------------------------------------------------------------- Codes: Df1 <- Df1 %>% group_by(Group) %>% summarise(Y= mean(X), na.rm=T) Df1 <- Df1%>% mutate(Z= coalesce(X,Y)) [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.