mkin_wide_to_long

This function simply takes a dataframe with one independent variable and
several dependent variable and converts it into the long form as required by
<code>mkinfit</code>.

manip

Calculation routines based on the FOCUS Kinetics Report (2006,
2014). Includes a function for conveniently defining differential equation
models, model solution based on eigenvalues if possible or using numerical
solvers. If a C compiler (on windows: 'Rtools') is installed, differential
equation models are solved using automatically generated C functions.
Heteroscedasticity can be taken into account using variance by variable or
two-component error models as described by Ranke and Meinecke (2018)
<doi:10.3390/environments6120124>. Hierarchical degradation models can
be fitted using nonlinear mixed-effects model packages as a back end as
described by Ranke et al. (2021) <doi:10.3390/environments8080071>. Please
note that no warranty is implied for correctness of results or fitness for a
particular purpose.

Johannes Ranke

mkin

Kinetic Evaluation of Chemical Degradation Data

Katrin Lindenberger

René Lehmann

Eurofins Regulatory AG 

mkin_wide_to_long function

<dl><dt>wide_data</dt>
<dd>The dataframe must contain one variable with the time
values specified by the <code>time</code> argument and usually more than one
column of observed values.</dd>
<dt>time</dt>
<dd>The name of the time variable.</dd></dl>

Arguments

Author

Convert a dataframe with observations over time into long format — mkin_wide_to_long

<dl>

<dt>wide_data</dt>
<dd>The dataframe must contain one variable with the time
values specified by the <code>time</code> argument and usually more than one
column of observed values.</dd>


<dt>time</dt>
<dd>The name of the time variable.</dd>

</dl>

mkin_wide_to_long: Convert a dataframe with observations over time into long format

Description

Usage

Value

Arguments

Author

Examples