get.vars

subsets <code>data</code> according to header 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

get.vars function

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

Arguments

Author

subsets data.frame according to header names — get.vars

<dl>

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


<dt>var.names</dt>
<dd>A character vector of names to get from <code>data</code></dd>

</dl>

subsets data.frame according to header names

get.vars: subsets data.frame according to header names

Description

Usage

Value

Arguments

Author

See Also