r - Subset dataframe based of non-sequential dates -


i have data looks this

df<-data.frame(datecol=as.date(c("2010-04-03","2010-04-04","2010-04-05","2010-04-06","2010-04-07",                                     "2010-04-03","2010-04-04","2010-04-05","2010-04-06","2010-04-07",                                     "2010-05-06","2010-05-07","2010-05-09","2010-06-06","2010-06-07")),x=c(1,1,1,0,1,1,1,0,0,0,1,0,0,0,1),type=c(rep("a",5),rep("b",5),rep("c",5)))  > df       datecol x type 1  2010-04-03 1    2  2010-04-04 1    3  2010-04-05 1    4  2010-04-06 0    5  2010-04-07 1    6  2010-04-03 1    b 7  2010-04-04 1    b 8  2010-04-05 0    b 9  2010-04-06 0    b 10 2010-04-07 0    b 11 2010-05-06 1    c 12 2010-05-07 0    c 13 2010-05-09 0    c 14 2010-06-06 0    c 15 2010-06-07 1    c

i need subset dataframe type, keep "types" have 2 or more different dates , dates @ least 1 day apart. in above example type has 4 different dates, , type c has 2 different dates more 1 day apart, want save these 2 new dataframe. type b has 2 different dates, not 1 day apart, don't want keep it.

i thinking in loop count how many unique date within each type, leave has more 2 different dates. @ ones have 2 different dates , calculate distance between them , leave ones distance more 1. seems there should more efficient way. ideas?

one solution data.table:

#make sure datecol date df$datecol <- as.date(df$datecol)  library(data.table) #x needs 1 , date difference more day per type #then in second [] select trues setdt(df)[x == 1, diff(datecol) > 1, = type][v1 == true, type] #[1] c #levels: b c

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