r - Aggregate by paymentamount -


i have data this:

emailaddress    customer_acquisation_date  customer_order_date  payment_amount xy@gmail.com     01/05/2013 6:24         01/05/2013 5:10           $ 20.67 xy@gmail.com     01/05/2013 6:24         02/07/2013 7:21 pm           $ 25.56 xy@gmail.com     01/05/2013 6:24         07/10/2013 8:00           $100.00 xy@gmail.com     01/05/2013 6:24         08/12/2013 9:35           $30.00

i trying sum(payment amount) emailaddress want final output as:

emailaddress    customer_acquisation_date  customer_order_date  payment_amount xy@gmail.com     01/05/2013 6:24         01/05/2013            $ 177                                             02/07/2013                                                              07/10/2013                                                              08/12/2013

code writing 

z <- aggregate(x$emailaddress~x$paymentamount,data=x,fun=sum)

error getting

error in summary.factor(c(211594l, 291939l, 79240l, 208971l, 369325l,  :    ‘sum’ not meaningful factors

what right way of doing this. appreciated

the aggregate function first takes value aggregate on, grouping argument. mentioned, need remove dollar sign able convert column numeric format.

# remove dollar sign x$payment_amount = as.numeric( gsub('[$]', '', x$payment_amount ))  # write in right order .. aggregate(x, by, fun .. )  z <- aggregate( payment_amount ~ emailaddress, data = x, fun = sum )

edit: adding data.table solution, keeping other columns well. 

 library(data.table)    setdt(x) # convert data.frame data.table  z = x[, payment_total := sum(payment_amount), = emailaddress]  setdf(z) # convert result data.frame

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