adjust_p

A thin wrapper around <code><a href="/link/stats%3A%3Ap.adjust?package=CytoProfile&version=0.2.4" data-mini-rdoc="CytoProfile::stats::p.adjust">stats::p.adjust</a></code> that defaults to the
Benjamini–Hochberg procedure. Useful for unifying multiple
testing adjustments across the package.

Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993) <doi:10.1016/0098-3004(93)90090-R>, Sparse Partial Least Squares Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011) <doi:10.1186/1471-2105-12-253>, Random Forest based on Breiman, L. (2001) <doi:10.1023/A:1010933404324>, and Extreme Gradient Boosting based on Tianqi Chen and Carlos Guestrin (2016) <doi:10.1145/2939672.2939785>.

Shubh Saraswat

CytoProfile

Cytokine Profiling Analysis Tool

Xiaohua Douglas Zhang

adjust_p function

<dl><dt>p_values</dt>
<dd>A numeric vector of raw p-values.</dd>
<dt>method</dt>
<dd>A character string specifying the p‑value adjustment
method. Passed directly to <code>p.adjust</code>. Defaults to "BH"
(Benjamini–Hochberg). See <code>p.adjust.methods</code> for other
options.</dd></dl>

Arguments

A thin wrapper around <code><a href='https://rdrr.io/r/stats/p.adjust.html'>stats::p.adjust</a></code> that defaults to the
Benjamini–Hochberg procedure. Useful for unifying multiple
testing adjustments across the package.

Adjust p-values using a specified method — adjust_p

<dl>

<dt>p_values</dt>
<dd>A numeric vector of raw p-values.</dd>


<dt>method</dt>
<dd>A character string specifying the p‑value adjustment
method. Passed directly to <code>p.adjust</code>. Defaults to "BH"
(Benjamini–Hochberg). See <code>p.adjust.methods</code> for other
options.</dd>

</dl>

adjust_p: Adjust p-values using a specified method

Description

Usage

Value

Arguments