# Importing and Working with Track and Field Data

## Documentation for package ‘JumpeR’ version 0.1.4

- DESCRIPTION file.

## Help Pages

add_row_numbers | Add row numbers to raw results
attempts_remove | Collects flight attempts within 'tf_parse'
attempts_split | Creates new columns of split attempts strings
attempts_split_cols | Creates new columns for splitting attempts strings
attempts_split_long | Creates new rows of split attempts strings (long format change)
attempts_split_long_helper | Creates new columns for splitting attempts strings in long format
collect_relay_athletes | Collects relay athletes as a data frame within 'tf_parse'
event_parse | Pulls out event labels from text
fill_down | Fills NA values with previous non-NA value
fill_left | Shifts non-NA values to left in dataframe
flash_flights_parse | Collects attempts within 'tf_parse'
flash_flight_attempts_parse | Collects results of high jump & pole vault flight attempts within 'tf_parse'
flash_parse | Reads track and field results into a list of strings in preparation for parsing with 'tf_parse'
flights_parse | Collects flights within 'tf_parse'
flight_attempts_parse | Collects results of high jump & pole vault attempts within 'tf_parse'
is_link_broken | Determines if a link is valid
lines_sort | Sorts and collects lines by performance and row number
list_transform | Transform list of lists into dataframe
math_format | Formatting mm:ss.th times as seconds
math_format_helper | Helper function for formatting mm:ss.th times as seconds
metric_conversion | Formatting feet-inches lengths as meters
metric_conversion_helper | Converts distances in feet-inches to meters
read_results | Reads track and field results into a list of strings in preparation for parsing with 'tf_parse'
remove_unneeded_flights | Removes unneeded flights columns within 'tf_parse'
standard_conversion | Formatting meters lengths as feet-inches
standard_conversion_helper | Converts distances in meters to feet-inches
tf_parse | Reads track and field results into a list of strings in preparation for parsing with 'tf_parse'