elisa_batch-class

batchID

runs

numeric the number of elisa_runs in this batch

num.runs

numeric the actually parameters for the fitting.
for example for the 5pl they are c(a, d,xmid, scal, g).

pars

list intend to contain information for the 
fitting of nls.lm. But not using it now.

model.fit

characters of either the 5pl (5-parameter) or 4pl 
(4-parameter) logistic function

model.name

range.ODs

numeric the batch normalization factor ("S").

normFactor

<code>elisa_batch-class</code> define the S4 class of an elisa_batch object

To run data analysis for enzyme-link immunosorbent assays (ELISAs).
Either the five- or four-parameter logistic model will be fitted for data of single ELISA.
Moreover, the batch effect correction/normalization will be carried out, when there are more than one batches of ELISAs.
Feng (2018) <doi:10.1101/483800>.

Feng Feng

ELISAtools

ELISA Data Analysis with Batch Correction

elisa_batch-class function

<dl><dt>batchID</dt>
<dd>characters to specify the batch</dd>
<dt>runs</dt>
<dd>list of elisa_run objects</dd>
<dt>num.runs</dt>
<dd>numeric the number of elisa_runs in this batch</dd>
<dt>pars</dt>
<dd>numeric the actually parameters for the fitting.
for example for the 5pl they are c(a, d,xmid, scal, g).</dd>
<dt>model.fit</dt>
<dd>list intend to contain information for the 
fitting of nls.lm. But not using it now.</dd>
<dt>model.name</dt>
<dd>characters of either the 5pl (5-parameter) or 4pl 
(4-parameter) logistic function</dd>
<dt>range.ODs</dt>
<dd>numeric the min and max ODs</dd>
<dt>normFactor</dt>
<dd>numeric the batch normalization factor ("S").</dd></dl>

Arguments

<dl>
<dt><code>batchID</code></dt>
<dd>character</dd></dl>
<dt><code>desc</code></dt>
<dd>character</dd>
<dt><code>runs</code></dt>
<dd>list</dd>
<dt><code>num.runs</code></dt>
<dd>numeric</dd>
<dt><code>pars</code></dt>
<dd>numeric</dd>
<dt><code>model.fit</code></dt>
<dd>list</dd>
<dt><code>model.name</code></dt>
<dd>character</dd>
<dt><code>range.ODs</code></dt>
<dd>numeic</dd>
<dt><code>normFactor</code></dt>
<dd>numeric</dd>

Slots

S4 class definition of an elisa_batch object — elisa_batch-class

<dl>

<dt>batchID</dt>
<dd>characters to specify the batch</dd>


<dt>runs</dt>
<dd>list of elisa_run objects</dd>


<dt>num.runs</dt>
<dd>numeric the number of elisa_runs in this batch</dd>


<dt>pars</dt>
<dd>numeric the actually parameters for the fitting.
for example for the 5pl they are c(a, d,xmid, scal, g).</dd>


<dt>model.fit</dt>
<dd>list intend to contain information for the 
fitting of nls.lm. But not using it now.</dd>


<dt>model.name</dt>
<dd>characters of either the 5pl (5-parameter) or 4pl 
(4-parameter) logistic function</dd>


<dt>range.ODs</dt>
<dd>numeric the min and max ODs</dd>


<dt>normFactor</dt>
<dd>numeric the batch normalization factor ("S").</dd>

</dl>

<dl>
<dt><code>batchID</code></dt>
<dd>character</dd>


<dt><code>desc</code></dt>
<dd>character</dd>


<dt><code>runs</code></dt>
<dd>list</dd>


<dt><code>num.runs</code></dt>
<dd>numeric</dd>


<dt><code>pars</code></dt>
<dd>numeric</dd>


<dt><code>model.fit</code></dt>
<dd>list</dd>


<dt><code>model.name</code></dt>
<dd>character</dd>


<dt><code>range.ODs</code></dt>
<dd>numeic</dd>


<dt><code>normFactor</code></dt>
<dd>numeric</dd>


</dl>

elisa_batch-class: S4 class definition of an elisa_batch object

Description

Arguments

Slots

Details

See Also

Examples