Data sets and functions for the courses 'Pattern Recognition in the Natural Sciences' and 'Molecular Profiling'

Documentation for package ‘PRiNS’ version 0.4.3

DESCRIPTION file.

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A B D E G I L N O P R S T U V W X Y

PRiNS-package

Pattern Recognition in the Natural Sciences

-- A --

ASCA.2f	Analysis of variance - Simultaneous Component Analysis
ASCA.3f	Analysis of variance - Simultaneous Component Analysis
ASCAfun.res	Analysis of variance - Simultaneous Component Analysis
ASCAfun.triple	Analysis of variance - Simultaneous Component Analysis
ASCAfun1	Analysis of variance - Simultaneous Component Analysis
ASCAfun12	Analysis of variance - Simultaneous Component Analysis
ASCAfun2	Analysis of variance - Simultaneous Component Analysis

-- B --

biplot.PCA

Principal Component Analysis plotting functions

-- D --

Day	Plant data
Days	Plant data
discs	Artificial data sets in three dimensions
doex	PRiNS exercises and demos

-- E --

efa	Evolving Factor Analysis
exer.2.1.1	PRiNS exercises and demos
exer.2.1.10	PRiNS exercises and demos
exer.2.1.11	PRiNS exercises and demos
exer.2.1.12	PRiNS exercises and demos
exer.2.1.2	PRiNS exercises and demos
exer.2.1.3	PRiNS exercises and demos
exer.2.1.4	PRiNS exercises and demos
exer.2.1.5	PRiNS exercises and demos
exer.2.1.6	PRiNS exercises and demos
exer.2.1.7	PRiNS exercises and demos
exer.2.1.8	PRiNS exercises and demos
exer.2.1.9	PRiNS exercises and demos
exer.2.2.1	PRiNS exercises and demos
exer.2.2.2	PRiNS exercises and demos
exer.2.2.3	PRiNS exercises and demos
exer.2.3.1	PRiNS exercises and demos
exer.2.3.2	PRiNS exercises and demos
exer.2.3.3	PRiNS exercises and demos
exer.2.3.4	PRiNS exercises and demos
exer.2.3.5	PRiNS exercises and demos
exer.2.3.6	PRiNS exercises and demos
exer.2.4.1	PRiNS exercises and demos
exer.2.4.2	PRiNS exercises and demos
exer.2.4.3	PRiNS exercises and demos
exer.2.4.4	PRiNS exercises and demos
exer.2.4.5	PRiNS exercises and demos
exer.2.4.6	PRiNS exercises and demos
exer.2.4.7	PRiNS exercises and demos
exer.2.5.1	PRiNS exercises and demos
exer.2.5.2	PRiNS exercises and demos
exer.2.5.3	PRiNS exercises and demos
exer.2.5.4	PRiNS exercises and demos
exer.2.5.5	PRiNS exercises and demos
exer.2.5.6	PRiNS exercises and demos
exer.2.5.7	PRiNS exercises and demos
exer.2.5.8	PRiNS exercises and demos
exer.2.6.1	PRiNS exercises and demos
exer.2.6.2	PRiNS exercises and demos
exer.2.6.3	PRiNS exercises and demos
exer.3.1.1	PRiNS exercises and demos
exer.3.1.2	PRiNS exercises and demos
exer.3.1.3	PRiNS exercises and demos
exer.3.1.4	PRiNS exercises and demos
exer.3.1.5	PRiNS exercises and demos
exer.3.1.6	PRiNS exercises and demos
exer.3.1.7	PRiNS exercises and demos
exer.3.2.1	PRiNS exercises and demos
exer.3.2.2	PRiNS exercises and demos
exer.3.2.3	PRiNS exercises and demos
exer.3.2.4	PRiNS exercises and demos
exer.3.2.5	PRiNS exercises and demos
exer.3.3.1	PRiNS exercises and demos
exer.3.3.2	PRiNS exercises and demos
exer.3.3.3	PRiNS exercises and demos
exer.3.3.4	PRiNS exercises and demos
exer.3.3.5	PRiNS exercises and demos
exer.3.3.6	PRiNS exercises and demos
exer.4.1.1	PRiNS exercises and demos
exer.4.1.2	PRiNS exercises and demos
exer.4.1.3	PRiNS exercises and demos
exer.4.1.4	PRiNS exercises and demos
exer.4.1.5	PRiNS exercises and demos
exer.4.1.6	PRiNS exercises and demos
exer.4.1.7	PRiNS exercises and demos
exer.4.1.8	PRiNS exercises and demos
exer.4.1.9	PRiNS exercises and demos
exer.4.2.1	PRiNS exercises and demos
exer.4.2.2	PRiNS exercises and demos
exer.4.2.3	PRiNS exercises and demos
exer.4.2.4	PRiNS exercises and demos
exer.4.2.5	PRiNS exercises and demos
exer.4.2.6	PRiNS exercises and demos
exer.4.2.7	PRiNS exercises and demos
exer.4.3.1	PRiNS exercises and demos
exer.4.3.2	PRiNS exercises and demos
exer.4.3.3	PRiNS exercises and demos
exer.4.3.4	PRiNS exercises and demos
exer.4.3.5	PRiNS exercises and demos
exer.4.3.6	PRiNS exercises and demos
exer.4.3.7	PRiNS exercises and demos
exer.4.3.8	PRiNS exercises and demos
exer.4.3.9	PRiNS exercises and demos
exer.4.4.1	PRiNS exercises and demos
exer.4.4.2	PRiNS exercises and demos
exer.4.4.3	PRiNS exercises and demos
exer.4.4.4	PRiNS exercises and demos
exer.4.4.5	PRiNS exercises and demos
exer.4.4.6	PRiNS exercises and demos

-- G --

golub	Subset of a gene expression dataset from Golub et al. (1999)
golub.cl	Subset of a gene expression dataset from Golub et al. (1999)
golub.gnames	Subset of a gene expression dataset from Golub et al. (1999)
grid.2d	Pattern Recognition in the Natural Sciences

-- I --

IG_wrong

30 Near InfraRed (NIR) spectra

-- L --

leverage.lims	Analysis of variance - Simultaneous Component Analysis
loadingplot	Principal Component Analysis plotting functions
loadings	Principal Component Analysis

-- N --

nir.spectra	Near-infrared spectra of ternary mixtures
NIRdata	30 Near InfraRed (NIR) spectra

-- O --

OptimANN	Pattern Recognition in the Natural Sciences
OptimSVM	Pattern Recognition in the Natural Sciences

-- P --

panel.hist	Pattern Recognition in the Natural Sciences
PCA	Principal Component Analysis
PCA.GENES	Analysis of variance - Simultaneous Component Analysis
PCA.plot	Principal Component Analysis plotting functions
Plant	Plant data
plant	Plant data
pnts2	Artificial multivariate normal data sets
pnts5	Artificial multivariate normal data sets
PRiNS	Pattern Recognition in the Natural Sciences
project	Principal Component Analysis

-- R --

reconstruct

Principal Component Analysis

-- S --

scoreplot	Principal Component Analysis plotting functions
scores	Principal Component Analysis
screeplot	Principal Component Analysis plotting functions
screeplot_asca	Analysis of variance - Simultaneous Component Analysis
show.var	Analysis of variance - Simultaneous Component Analysis
simplisma	SIMPle to use Interactive Self-Moddeling Algorithm
SPE.lims	Analysis of variance - Simultaneous Component Analysis
spheres	Artificial data sets in three dimensions
spheres2	Artificial data sets in three dimensions
summary.PCA	Principal Component Analysis

-- T --

Treatment	Plant data
Treatments	Plant data

-- U --

unsigned.range

Pattern Recognition in the Natural Sciences

-- V --

Variables	Plant data
variances	Principal Component Analysis

-- W --

winesLight	Wine data (subset)
winesLight.classes	Wine data (subset)
winesLightA	Wine data (subset)
winesLightA.classes	Wine data (subset)
winesLightB	Wine data (subset)
wv	30 Near InfraRed (NIR) spectra

-- X --

X	Plant data

-- Y --

yeast.alpha	Yeast data: alpha arrestation method
yeast.alpha.classes	Yeast data: alpha arrestation method