calib_data_frame

helper function that creates a data.frame with the Platt Calibrations

internal

Provides an intuitive framework for ad-hoc statistical analysis of 1H-NMR metabolomics by Nightingale Health. It allows to easily explore new metabolomics measurements assayed by Nightingale Health, comparing the distributions with a large Consortium (BBMRI-nl); project previously published metabolic scores [<doi:10.1016/j.ebiom.2021.103764>, <doi:10.1161/CIRCGEN.119.002610>, <doi:10.1038/s41467-019-11311-9>, <doi:10.7554/eLife.63033>, <doi:10.1161/CIRCULATIONAHA.114.013116>, <doi:10.1007/s00125-019-05001-w>]; and calibrate the metabolic surrogate values to a desired dataset.

Daniele Bizzarri

MiMIR

Metabolomics-Based Models for Imputing Risk

Marcel Reinders

Marian Beekman

Pieternella Eline Slagboom

Erik van den Akker

calib_data_frame function

<dl><dt>calibrations</dt>
<dd>list result of calibration_surro</dd>
<dt>bin_phenotypes</dt>
<dd>data.frame with binary phenotypes resulting form binarize_all_pheno</dd>
<dt>bin_pheno_available</dt>
<dd>string with the names of the binarize clinical variables available in the dataset</dd></dl>

Arguments

calib_data_frame — calib_data_frame

<dl>

<dt>calibrations</dt>
<dd>list result of calibration_surro</dd>


<dt>bin_phenotypes</dt>
<dd>data.frame with binary phenotypes resulting form binarize_all_pheno</dd>


<dt>bin_pheno_available</dt>
<dd>string with the names of the binarize clinical variables available in the dataset</dd>

</dl>

calib_data_frame: calib_data_frame

Description

Usage

Value

Arguments