aggregate - aggregating categories in R -


hi i'm new r , i'm trying aggregate list , count total not sure how it. 

mylist =c("a", "b", "a", "a", "b")

i can create function loops through list , groups each category , counts them. i'm sure there must easier way group can category , number each category. 3 , b 2.

i tried using function below believe don't have proper syntax. 

aggr <-aggregate(mylist, count)

thanks in advance.

i'm guessing you're looking table , not aggregate:

mylist =c("a", "b", "a", "a", "b") table(mylist) # mylist # b  # 3 2

tapply can handy here:

tapply(mylist, mylist, length) # b  # 3 2

and, suppose "trick" aggregate in following way:

aggregate(ind ~ mylist, data.frame(mylist, ind = 1), length) #   mylist ind # 1        3 # 2      b   2

if you're looking understand why well, aggregate takes data.frame input, , specify 1 or more columns aggregated grouped 1 or more other columns (or vectors in workspace of same length number of rows).

in example above, converted vector data.frame, adding dummy column values "1". used formula ind ~ mylist (where ~ sort of "is grouped by") , set aggregation function length (there no count in base r, though function can found in different packages).


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