# mean svymean( ~ income_variable , NN ) svyby( ~ income_variable , ~ age + sex , NN , svymean )
# median svyquantile( ~ income_variable , NN ) svyby( ~ income_variable , ~ age + sex , NN , svyquantile , 0.5 ) On Fri, Sep 2, 2016 at 3:04 PM, Juan Ceccarelli Arias <jfca...@gmail.com> wrote: > Hello > Im analyzing a survey and i need to obtain some statistics per groups. > Im able to create a table with sex and age. However, if i want to know how > much income earns the population by sex and age, i can't. > Im loading the dataset as describe the line below > NN <- svydesign(ids = ~1, data = encuesta, weights = fact) > Some simple table i can create > table(svytable(~age+sex,design=NN)) > But im not able to handle the same tabulate referencing a income variable, > in this case, wage. > Can you help me? > Thanks for your replies and time. > > [[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. > [[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.
