Grouping by a column in R -


i have data in following format : 

 routeid, stoporder, stoptype  101, 1, load  101, 2, unload 102, 1, load 102, 2, load 102, 3, unload 102, 4, unload 103, 1, load 103, 2, unload 103, 3, load 103, 4, unload

given data, want identify such routeids have load stop after unload stop.

 expected output: 103

we can try data.table. convert 'data.frame' 'data.table' (setdt(df2), grouped 'routeid', if any of run-length-type id of logical vector (stoptype=='load') greater 2, subset of data.table (.sd). give rows 'routeid' 103.

library(data.table) setdt(df2)[,if(any(rleid(stoptype=='load') >2)) .sd ,.(routeid)] #    routeid stoporder stoptype #1:     103         1     load #2:     103         2   unload #3:     103         3     load #4:     103         4   unload

if need 'routeid', extract it, subsetting logical vector.

setdt(df2)[, .grp[any(rleid(stoptype=='load') >2)] ,    .(routeid)]$routeid #[1] 103

or base r option be

 v1 <-  with(df2, tapply(stoptype=='load', routeid,               fun= function(x) {i1 <- which(x)                   i1>1 || any(diff(i1)>1)}))   names(v1)[v1]  #[1] "103"

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