r - Average on concatenated string with some conditions -


i wish average on concatenated string conditions. data:

id  path    events  1    a, b    2, 3 2    c,    3, 4 3    b       5

i'd take average of rows do not have particular path, instance average of rows not have c (i.e row 1 , 3) (2 + 3 + 5) /3 = 3.33

and similar others desired output be

path   avg       5 b       3.5 c       3.33

before tried not concatenated data , worked 

output <- sapply(as.character(unique(df$path)),                   function(x) mean(subset(df, !path %in% x)$events))

but not come idea situation

this data

mydata <- data.frame(id =c(1,2,3),                       path= c("a,b", "c,a", "b"),                      events =c (("2,3"), ("3,4"), ("5")))

here's tidyverse approach:

library(tidyverse)  mydata %>% separate_rows(path, events, convert = true) %>%    # unnest rows     group_by(path) %>%    # set grouping     summarise(avg = mean(.$events[!.$id %in% id]))    # summarize groups  ## # tibble: 3 × 2 ##    path      avg ##   <chr>    <dbl> ## 1     5.000000 ## 2     b 3.500000 ## 3     c 3.333333

note summarization uses .$[column name] refer entire column, , [column name] refer values group.


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