make_lineup_helper

Matches athletes into events. Each event is filled by the least capable
(slowest) swimmer who can win or place in that event. For example if Team A
has six breaststrokers at 57.00, 58.00, 59.00 and three 1:00.00s and Team B
has three breaststrokers, all 1:01.00 then Team A's entries will be the three
1:00.00s because they're sufficient to win.

The goal of the 'SwimmeR' package is to provide means of acquiring, and then analyzing, data from swimming (and diving) competitions.  To that end 'SwimmeR' allows results to be read in from .html sources, like 'Hy-Tek' real time results pages, '.pdf' files, 'ISL' results, 'Omega' results, and (on a development basis) '.hy3' files.  Once read in, 'SwimmeR' can convert swimming times (performances) between the computationally useful format of seconds reported to the '100ths' place (e.g. 95.37), and the conventional reporting format (1:35.37) used in the swimming community.  'SwimmeR' can also score meets in a variety of formats with user defined point values, convert times between courses ('LCM', 'SCM', 'SCY') and draw single elimination brackets, as well as providing a suite of tools for working cleaning swimming data.  This is a developmental package, not yet mature.

Greg Pilgrim

SwimmeR

Data Import, Cleaning, and Conversions for Swimming Results

Caitlin Baldwin

make_lineup_helper function

<dl><dt>i</dt>
<dd>a sequential list of numbers incremented by 1. Used to index
function.</dd>
<dt>df_helper</dt>
<dd>a data frame of times for the team to be entered. Must
contain column <code>Event</code> with the same event naming convention as
<code>op_df</code>, a column with name matching <code>result_col</code> containing times
or diving scores, and a column called <code>Name</code> containing athlete names</dd>
<dt>op_df_helper</dt>
<dd>a data frame containing the opponent lineup. Must
contain column <code>Event</code> with the same event naming convention as
<code>df</code>, a column with name matching <code>result_col</code> containing times or
diving scores, and a column called <code>Name</code> containing athlete names</dd>
<dt>end_seq</dt>
<dd>how many events score</dd>
<dt>max_ind_entries_helper</dt>
<dd>a numeric value denoting the maximum number of
individual events that may be entered by a single athlete</dd>
<dt>result_col_helper</dt>
<dd>name of column with results in it</dd></dl>

Arguments

Determine optimal entries against a given opponent lineup — make_lineup_helper

<dl>

<dt>i</dt>
<dd>a sequential list of numbers incremented by 1. Used to index
function.</dd>


<dt>df_helper</dt>
<dd>a data frame of times for the team to be entered. Must
contain column <code>Event</code> with the same event naming convention as
<code>op_df</code>, a column with name matching <code>result_col</code> containing times
or diving scores, and a column called <code>Name</code> containing athlete names</dd>


<dt>op_df_helper</dt>
<dd>a data frame containing the opponent lineup. Must
contain column <code>Event</code> with the same event naming convention as
<code>df</code>, a column with name matching <code>result_col</code> containing times or
diving scores, and a column called <code>Name</code> containing athlete names</dd>


<dt>end_seq</dt>
<dd>how many events score</dd>


<dt>max_ind_entries_helper</dt>
<dd>a numeric value denoting the maximum number of
individual events that may be entered by a single athlete</dd>


<dt>result_col_helper</dt>
<dd>name of column with results in it</dd>

</dl>

make_lineup_helper: Determine optimal entries against a given opponent lineup

Description

Usage

Value

Arguments