r - Using dplyr first function but ignoring a particular character -


i wish add first feature in following dataset in new column 

 mydf <- data.frame (customer= c(1,2,1,2,2,1,1) , feature =c("other", "a", "b", "c", "other","b", "c"))      customer feature 1        1   other 2        2       3        1       b 4        2       c 5        2   other 6        1       b 7        1       c

by using dplyr. however, wish code ignore "other" feature in data set , choose first 1 after "other".

so following code not sufficient:

library (dplyr)     new <- mydf %>%   group_by(customer) %>%   mutate(firstfeature = first(feature))

how can ignore "other" reach following ideal output: 

    customer   feature   firstfeature  1        1   other            b 2        2                  3        1       b            b 4        2       c            5        2   other            6        1       b            b

with dplyr can group customer , take first feature every group. 

library(dplyr) mydf %>%    group_by(customer) %>%    mutate(firstfeature = feature[feature != "other"][1])   #  customer feature firstfeature #     <dbl>   <chr>        <chr> #1        1   other            b #2        2                  #3        1       b            b #4        2       c            #5        2   other            #6        1       b            b #7        1       c            b

similarly can base r ave

mydf$firstfeature <- ave(mydf$feature, mydf$customer,                                           fun= function(x) x[x!= "other"][1])

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