currently, have multiple dataframes same name , in running order ( foo1 , foo2 , foo3 , foo4 , foo5 ... etc). trying create large dataframe containing rows of above dataframes rbind() . there elegant way equivalent of rbind(foo1, foo2, foo3, foo4, foo5...) ?   i have tried do.call(rbind, paste0("foo",i))  i=c(1,2,3...)  no avail.   there solution mentioned here , is: do.matrix <- do.call(rbind, lapply( paste0("variable", 1:10) , get) )   however, answer mysteriously says "that wrong way handle related items. better use list or dataframe, find out why in due course."   why wrong way this, , "right" way?   thanks.          always try rigorously capture relations between related instances of data, or related data , methods, or related methods. helps ease aggregate manipulation such rbind  requirement.   for case, should have defined related data.frames single list beginning:   foo <- list(data.frame(...), data.frame(...), ... );   and requ...