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Given a data frame with columns "Round_1_Attempts" it will create three new rows, one for each of the attempts in round 1
attempts_split_long(data_to_split)
output from read_results followed by add_row_numbers
read_results
add_row_numbers
returns a data frame with Round_X_Attempts columns split into individual attempts as rows
# NOT RUN { df <- tf_parse( read_results( "https://www.flashresults.com/2018_Meets/Outdoor/04-20_DukeInvite/014-1.pdf" ), rounds = TRUE, round_attempts = TRUE, ) df %>% attempts_split_long() # }
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