AnalysisResults-class: Class AnalysisResults

In GaelleLefort/ASICS: Automatic Statistical Identification in Complex Spectra

Description

Objects of class AnalysisResults contains results of analyses performed with the functions pca, oplsda and kruskalWallis.

Slots

type.analysis

Name of the analysis (e.g., "PCA", "OPLS-DA", ...).

type.data

Type of data used for the analyses (e.g., "quantification", "buckets"...).

dataset

The object of type SummarizedExperiment used for the analysis.

results

Results of the analysis. Can be a data frame for test results or an object of class opls from ropls for PCA and OPLS-DA.

best.model

Best model (only for OPLS-DA analyses).

cv.error

Cross validation error (only for OPLS-DA analyses).

mean.by.group

Data frame with means by group and a variable indicating if there is a significant difference between groups for tests and if the VIP associated to the variable is superior to the given threshold for OPLS-DA.

Methods

Multiple methods can be applied on AnalysisResults objects.

• As usual for S4 object, show and summary methods are available, see Object summary

• All slots have an accessor get_slot name, see Accessors

• All results contained in an object can be represent in a plot, see Visualisation methods

GaelleLefort/ASICS documentation built on July 19, 2020, 2:08 p.m.