mean_naomit

<p>A numeric vector that may contain NA's</p>

<p>Compute mean value while ignoring NA's</p>

Verify accepted taxonomic nomenclature of phytoplankton species, assign
species to functional group classifications, and manipulate taxonomic and functional diversity
data. Possible functional classifications include Morpho-functional group (MFG;
Salmaso et al. 2015 <doi:10.1111/fwb.12520>) and CSR (Reynolds 1988; Functional morphology and
the adaptive strategies of phytoplankton. In C.D. Sandgren (ed). Growth and reproductive
strategies of freshwater phytoplankton, 388-433. Cambridge University Press, New York).
Version 1.2.0 also includes functions to query names using the algaebase online taxonomic
database (<https://www.algaebase.org>; <doi:10.7872/crya.v35.iss2.2014.105>).
The algaeClassify package is a product of the GEISHA (Global Evaluation of the Impacts of
Storms on freshwater Habitat and Structure of phytoplankton Assemblages), funded by CESAB
(Centre for Synthesis and Analysis of Biodiversity) and the USGS John Wesley Powell Center for
Synthesis and Analysis, with data and other support provided by members of GLEON
(Global Lake Ecology Observation Network). This software is preliminary or provisional and
is subject to revision. It is being provided to meet the need for timely best science.
The software has not received final approval by the U.S. Geological Survey (USGS).
No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the
functionality of the software and related material nor shall the fact of release constitute
any such warranty. The software is provided on the condition that neither the USGS nor the U.S.
Government shall be held liable for any damages resulting from the authorized or unauthorized
use of the software.

mean_naomit: Compute mean value while ignoring NA's

Description

Usage

Arguments

Value

Examples