Function reference • dimRed

All functions

AUC_lnK_R_NX(<dimRedResult>): Method AUC_lnK_R_NX

AutoEncoder-class AutoEncoder: AutoEncoder

DRR-class DRR: Dimensionality Reduction via Regression

DiffusionMaps-class DiffusionMaps: Diffusion Maps

DrL-class DrL: Distributed Recursive Graph Layout

FastICA-class FastICA: Independent Component Analysis

FruchtermanReingold-class FruchtermanReingold: Fruchterman Reingold Graph Layout

HLLE-class HLLE: Hessian Locally Linear Embedding

Isomap-class Isomap: Isomap embedding

KamadaKawai-class KamadaKawai: Graph Embedding via the Kamada Kawai Algorithm

LCMC(<dimRedResult>): Method LCMC

LaplacianEigenmaps-class LaplacianEigenmaps: Laplacian Eigenmaps

MDS-class MDS: Metric Dimensional Scaling

NNMF-class NNMF: Non-Negative Matrix Factorization

PCA-class PCA: Principal Component Analysis

PCA_L1-class PCA_L1: Principal Component Analysis with L1 error.

Q_NX(<dimRedResult>): Method Q_NX

Q_global(<dimRedResult>): Method Q_global

Q_local(<dimRedResult>): Method Q_local

R_NX(<dimRedResult>): Method R_NX

UMAP-class UMAP: Umap embedding

as.data.frame(): Converts to data.frame

as.dimRedData(): Converts to dimRedData

cophenetic_correlation(<dimRedResult>): Method cophenetic_correlation

loadDataSet() dataSetList(): Example Data Sets for dimensionality reduction

dimRed dimRed-package: The dimRed package

as.data.frame(<dimRedData>) getData(<dimRedData>) getMeta(<dimRedData>) nrow(<dimRedData>) `[`(<dimRedData>,<ANY>,<ANY>,<ANY>) ndims(<dimRedData>): Class "dimRedData"

dimRedMethod-class: Class "dimRedMethod"

dimRedMethodList(): dimRedMethodList

predict(<dimRedResult>) inverse(<dimRedResult>) as.data.frame(<dimRedResult>) getPars(<dimRedResult>) getNDim(<dimRedResult>) print(<dimRedResult>) getOrgData(<dimRedResult>) getDimRedData(<dimRedResult>) ndims(<dimRedResult>) getOtherData(<dimRedResult>): Class "dimRedResult"

distance_correlation(<dimRedResult>): Method distance_correlation

embed(): dispatches the different methods for dimensionality reduction

getData(): Method getData

getDimRedData(): Method getDimRedData

getMeta(): Method getMeta

getNDim(): Method getNDim

getOrgData(): Method getOrgData

getOtherData(): Method getOtherData

getPars(): Method getPars

getRotationMatrix(): getRotationMatrix

installSuggests(): getSuggests

kPCA-class kPCA: Kernel PCA

makeKNNgraph(): makeKNNgraph

maximize_correlation(<dimRedResult>): Maximize Correlation with the Axes

mean_R_NX(<dimRedResult>): Method mean_R_NX

mixColorRamps() mixColor1Ramps() mixColor2Ramps() mixColor3Ramps(): Mixing color ramps

nMDS-class nMDS: Non-Metric Dimensional Scaling

ndims(): Method ndims

plot(): Plotting of dimRed* objects

plot_R_NX(): plot_R_NX

print(): Method print

quality(<dimRedResult>) dimRedQualityList(): Quality Criteria for dimensionality reduction.

reconstruction_error(<dimRedResult>): Method reconstruction_error

reconstruction_rmse(<dimRedResult>): Method reconstruction_rmse

tSNE-class tSNE: t-Distributed Stochastic Neighborhood Embedding

total_correlation(<dimRedResult>): Method total_correlation