swim_parse_samms: Formats swimming and diving data read with 'read_results'...

In SwimmeR: Data Import, Cleaning, and Conversions for Swimming Results

Formats swimming and diving data read with read_results into a dataframe

Description

Takes the output of read_results of S.A.M.M.S. results and cleans it, yielding a dataframe of swimming (and diving) results

Usage

swim_parse_samms(
  file_samms,
  avoid_samms = avoid,
  typo_samms = typo,
  replacement_samms = replacement,
  format_samms = format_results
)

Arguments

file_samms	output from read_results of S.A.M.M.S. style results
avoid_samms	a list of strings. Rows in file containing these strings will not be included. For example "Pool:", often used to label pool records, could be passed to avoid. The default is avoid_default, which contains many strings similar to "Pool:", such as "STATE:" and "Qual:". Users can supply their own lists to avoid.
typo_samms	a list of strings that are typos in the original results. swim_parse is particularly sensitive to accidental double spaces, so "Central High School", with two spaces between "Central" and "High" is a problem, which can be fixed. Pass "Central High School" to typo. Unexpected commas as also an issue, for example "Texas, University of" should be fixed using typo and replacement
replacement_samms	a list of fixes for the strings in typo. Here one could pass "Central High School" (one space between "Central" and "High") and "Texas" to replacement fix the issues described in typo
format_samms	should the data be formatted for analysis (special strings like "DQ" replaced with NA, Finals as definitive column)? Default is TRUE

Value

returns a data frame with columns Name, Place, Age, Team, Prelims, Finals, Event & DQ. Note all swims will have a Finals, even if that time was actually swam in the prelims (i.e. a swimmer did not qualify for finals). This is so that final results for an event can be generated from just one column.

See Also

swim_parse must be run on the output of read_results

SwimmeR documentation built on March 31, 2023, 8:27 p.m.