PepsNMR - Pre-process 1H-NMR FID signals
This package provides R functions for common pre-procssing steps that are applied on 1H-NMR data. It also provides a function to read the FID signals directly in the Bruker format.
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softwarepreprocessingvisualizationmetabolomicsdataimport
6.48 score 8 stars 1 dependents 21 scripts 440 downloadslimpca - An R package for the linear modeling of high-dimensional designed data based on ASCA/APCA family of methods
This package has for objectives to provide a method to make Linear Models for high-dimensional designed data. limpca applies a GLM (General Linear Model) version of ASCA and APCA to analyse multivariate sample profiles generated by an experimental design. ASCA/APCA provide powerful visualization tools for multivariate structures in the space of each effect of the statistical model linked to the experimental design and contrarily to MANOVA, it can deal with mutlivariate datasets having more variables than observations. This method can handle unbalanced design.
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statisticalmethodprincipalcomponentregressionvisualizationexperimentaldesignmultiplecomparisongeneexpressionmetabolomics
5.43 score 2 stars 7 scripts 298 downloadsPepsNMRData - Datasets for the PepsNMR package
This package contains all the datasets used in the PepsNMR package.
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experimentdataorganismdatahomo_sapiens_datadatapkg
3.30 score 2 scripts