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ChemoSpec (version 3.0-1)

Exploratory Chemometrics for Spectroscopy

Description

A collection of functions for plotting spectra (NMR, IR etc) and carrying out various forms of top-down exploratory data analysis, such as HCA, PCA and model-based clustering. The design allows comparison of data from samples which fall into groups such as treatment vs. control. Robust methods appropriate for this type of high-dimensional data are available. ChemoSpec is designed to be very user friendly and suitable for people with limited background in R.

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Install

install.packages('ChemoSpec')

Monthly Downloads

931

Version

3.0-1

License

GPL-3

Issues

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Maintainer

Bryan Hanson

Last Published

January 21st, 2015

Functions in ChemoSpec (3.0-1)

Spectra

Spectra Objects
evalClusters

Evaluate or Compare the Quality of Clusters Quantitatively
plotScoresDecoration

Decorate PCA Score Plot of a Spectra Object
calcSN

Calculate the signal-to-noise ratio of a peak in a spectrum.
aovPCA

ANOVA-PCA Analysis of Spectra Data
removeFreq

Remove Frequencies from a Spectra Object
robPCA

Robust PCA of a Spectra Object
baselineSpec

Carry out baseline correction on a Spectra object
groupNcolor

Assign Group Membership and Colors for a Spectra Object
hypTestScores

Conduct MANOVA using PCA Scores and Factors in a Spectra Object
binData

Bin or Bucket Data
CuticleIR

IR Spectra of Plant Cuticles by Genotype and Treatment
pcaDiag

Outlier Diagnostic Plots for PCA of a Spectra Object
sumSpectra

Summarize a Spectra Object
avgFacLvls

Average levels of a factor in a data matrix
isWholeNo

Determine if a Number is a Whole Number
classPCA

Classical PCA of Spectra Objects
conColScheme

Change the Color Scheme of a Spectra Object
colorSymbol

Colors and Symbols in ChemoSpec and Spectra Objects
plotScores

Plot PCA Scores of a Spectra Object
SrE.IR

IR and NMR Spectra of Serenoa repens (Saw Palmetto) Oil Extracts and Reference Oils
sPlotSpectra

s-Plot of Spectra Data Post PCA
labelExtremes3d

Identify Extreme Values in 3D
seXy

Functions to Compute Measures of Central Tendency and Spread. seX!
makeEllipsoid

Create Ellipsoid
plotScoresRGL

Interactive 3D Score Plot of a Spectra Object
normVec

Normalize a Vector to range -1 to +1
plotScree

Scree Plots of PCA Results for a Spectra Object
LoopThruSpectra

Display the spectra in a Spectra object one at a time
chkSpectra

Verify the Integrity of a Spectra Object
normSpectra

Normalize a Spectra Object
q2rPCA

Conversion Between PCA Classes
findTMS

Find the TMS/TSP Peak in an NMR Spectrum.
aovPCAloadings

Plot aovPCA Loadings of a Spectra Object
specSurvey

Plot Measures of Central Tendency and Spread for a Spectra Object
mclust3D

mclust Analysis in 3D
hcaScores

HCA on PCA scores from a Spectra Object
aovPCAscores

Conduct PCA and plot aovPCA Scores of a Spectra Object
coordProjCS

Modified Version of coordProj from mclust
labelExtremes

Label Extreme Values in a 2D Data Set
pcaBoot

Cross-Validation of Classical PCA Results for a Spectra Object
mclust3dSpectra

mclust Analysis of a Spectra Object in 3D
check4Gaps

Check for Missing Values (Gaps)
plot2Loadings

Plot PCA Loadings from a Spectra object Against Each Other
plotHCA

Plot Dendrogram for Spectra Object
readBrukerTxt

Read and process a Bruker NMR spectrum saved using Topspin
hmapSpectra

Create a Seriated Heat Map Comparing Samples and Spectral Data for a Spectra Object
binBuck

Bin or Bucket a Spectra Object
files2SpectraObject

Merge Files in a Directory into a Spectra Object
clupaSpectra

Conduct Hierarchical Cluster-Based Peak Alignment on a Spectra Object
plotScoresCor

Compute Confidence Ellipses
sumGroups

Summarize the Group Parameters of a Spectra Object
hcaSpectra

Plot HCA Results of a Spectra Object
plotSpectra

Plot Spectra Object
ChemoSpec-package

Exploratory Chemometrics for Spectroscopy
colLeaf

Color the Leaves of a Dendrogram
rowDist

Compute Distance Between Rows of a Matrix
plotLoadings

Plot PCA Loadings for a Spectra Object
mclustSpectra

mclust Analysis of a Spectra Object PCA Results
shrinkLeaf

Shrink the Leaves of a Dendrogram
readJDX

Read and process a JCAMP-DX file.
plotScores3D

3D PCA Score Plot for a Spectra Object
removeSample

Remove Samples or Groups from a Spectra Object
splitSpectraGroups

Create New Groups from an Existing Spectra Object