has.vars

tests <code>data</code> for data column names

methods

A collection of tools for the calculation of freewater metabolism
from in situ time series of dissolved oxygen, water temperature, and,
optionally, additional environmental variables. LakeMetabolizer implements
5 different metabolism models with diverse statistical underpinnings:
bookkeeping, ordinary least squares, maximum likelihood, Kalman filter,
and Bayesian. Each of these 5 metabolism models can be combined with
1 of 7 models for computing the coefficient of gas exchange across the
air–water interface (k). LakeMetabolizer also features a variety of
supporting functions that compute conversions and implement calculations
commonly applied to raw data prior to estimating metabolism (e.g., oxygen
saturation and optical conversion models).

Jake Zwart

LakeMetabolizer

Tools for the Analysis of Ecosystem Metabolism

Luke Winslow

Ryan Batt

Jessica Corman

Hilary Dugan

Paul Hanson

Aline Jaimes

Jordan Read

Richard Woolway

has.vars function

<dl><dt>data</dt>
<dd>Object of class data.frame</dd>
<dt>var.names</dt>
<dd>A character vector of names to test against <code>data</code></dd></dl>

Arguments

Author

tests data.frame for column names — has.vars

<dl>

<dt>data</dt>
<dd>Object of class data.frame</dd>


<dt>var.names</dt>
<dd>A character vector of names to test against <code>data</code></dd>

</dl>

tests data.frame for column names

has.vars: tests data.frame for column names

Description

Usage

Value

Arguments

Author

See Also