MAIT.FeatureData-class: Class '"MAIT.FeatureData"'

In MAIT: Statistical Analysis of Metabolomic Data

Description

MAIT.FeatureData objects are used in the MAIT package to save the feature data.

Slots

scores:

Here it is saved the dataset obtained after applying the peakAggregation function.

featureID:

The ID numbers of all features are saved here.

featureSigID:

The ID numbers of the significant features are saved here.

LSDResults:

The results of performing a Fisher LSD test on each significant variable are saved in this slot.

models:

The model for each feature used to obtain the scores are saved in this slot.

pvalues:

In this slot are saved the pvalues of the features.

pvaluesCorrection:

The pvalues corrected by multiple test correction are saved here.

pcaModel:

PCA model generated using the function plotPCA.

plsModel:

PCA model generated using the function plotPLS.

masses:

Masses used as an input for the function MAITbuilder.

rt:

Retention time values used as an input for the function MAITbuilder.

extendedTable:

Dataframe containing the information regarding masses, retention time values, intensity and spectra IDs passes as an input for the function MAITbuilder

Author(s)

Francesc Fernandez, [e-mail]

See Also

MAIT-class xsAnnotate

MAIT documentation built on Nov. 8, 2020, 5:43 p.m.