drc_4p

This function peforms the four-parameter dose response curve fit. It is the helper function
for the fit in the <code>fit_drc_4p</code> function.

Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.

Jan-Philipp Quast

protti

Bottom-Up Proteomics and LiP-MS Quality Control and Data
Analysis Tools

Dina Schuster

ETH Zurich 

drc_4p function

<dl><dt>data</dt>
<dd>a data frame that contains at least the dose and response column the model should
be fitted to.</dd>
<dt>response</dt>
<dd>a numeric column that contains the response values.</dd>
<dt>dose</dt>
<dd>a numeric column that contains the dose values.</dd>
<dt>log_logarithmic</dt>
<dd>a logical value indicating if a logarithmic or log-logarithmic model is
fitted. If response values form a symmetric curve for non-log transformed dose values, a
logarithmic model instead of a log-logarithmic model should be used. Usually biological dose
response data has a log-logarithmic distribution, which is the reason this is the default.
Log-logarithmic models are symmetric if dose values are log transformed.</dd>
<dt>pb</dt>
<dd>progress bar object. This is only necessary if the function is used in an iteration.</dd></dl>

Arguments

Dose response curve helper function — drc_4p

<dl>

<dt>data</dt>
<dd>a data frame that contains at least the dose and response column the model should
be fitted to.</dd>


<dt>response</dt>
<dd>a numeric column that contains the response values.</dd>


<dt>dose</dt>
<dd>a numeric column that contains the dose values.</dd>


<dt>log_logarithmic</dt>
<dd>a logical value indicating if a logarithmic or log-logarithmic model is
fitted. If response values form a symmetric curve for non-log transformed dose values, a
logarithmic model instead of a log-logarithmic model should be used. Usually biological dose
response data has a log-logarithmic distribution, which is the reason this is the default.
Log-logarithmic models are symmetric if dose values are log transformed.</dd>


<dt>pb</dt>
<dd>progress bar object. This is only necessary if the function is used in an iteration.</dd>

</dl>

drc_4p: Dose response curve helper function

Description

Usage

Value

Arguments