fill_left

Moves non-NA data left into NA spaces, then removes all columns that contain
only NA values

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

fill_left function

<dl><dt>df</dt>
<dd>a data frame having some `NA` values</dd></dl>

Arguments

Shifts non-NA values to left in data frame — fill_left

<dl>

<dt>df</dt>
<dd>a data frame having some `NA` values</dd>

</dl>

fill_left: Shifts non-NA values to left in data frame

Description

Usage

Value

Arguments

See Also