sts_distinct

Three successive steps are used to guarantee that the
<code>datetime</code> axis contains no repeated values:
<ol>
<li>remove any duplicate records</li>
<li>guarantee that rows are in <code>datetime</code> order</li>
<li>average together fields for any remaining records that share the same
<code>datetime</code></li>
</ol>

Utility functions for working with environmental time series data from known
locations. The compact data model is structured as a list with two dataframes. A
'meta' dataframe contains spatial and measuring device metadata associated with
deployments at known locations. A 'data' dataframe contains a 'datetime' column
followed by columns of measurements associated with each "device-deployment".
Ephemerides calculations are based on code originally found in NOAA's
"Solar Calculator" <https://gml.noaa.gov/grad/solcalc/>.

Jonathan Callahan

MazamaTimeSeries

Core Functionality for Environmental Time Series

Hans Martin

Eli Grosman

Roger Bivand

Sebastian Luque

sts_distinct function

<dl><dt>sts</dt>
<dd>sts object</dd></dl>

Arguments

Retain only distinct data records in sts$data — sts_distinct

<dl>

<dt>sts</dt>
<dd>sts object</dd>

</dl>

sts_distinct: Retain only distinct data records in `sts$data`

Description

Usage

Value

Arguments