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ChemoSpec (version 4.2.8)

Exploratory Chemometrics for Spectroscopy

Description

A collection of functions for top-down exploratory data analysis of spectral data obtained via nuclear magnetic resonance (NMR), infrared (IR) or Raman spectroscopy. Includes functions for plotting and inspecting spectra, peak alignment, hierarchical cluster analysis (HCA), principal components analysis (PCA) and model-based clustering. Robust methods appropriate for this type of high-dimensional data are available. ChemoSpec is designed with metabolomics data sets in mind, where the samples fall into groups such as treatment and control. Graphical output is formatted consistently for publication quality plots. ChemoSpec is intended to be very user friendly and help you get usable results quickly. A vignette covering typical operations is available.

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Version

Install

install.packages('ChemoSpec')

Monthly Downloads

957

Version

4.2.8

License

GPL-3

Issues

2

Pull Requests

0

Stars

63

Forks

20

Maintainer

Bryan Hanson

Last Published

January 26th, 2016

Functions in ChemoSpec (4.2.8)

plotScoresRGL

Interactive 3D Score Plot of a Spectra Object
avgFacLvls

Average Levels of a Factor in a Data Matrix
c_pcaSpectra

Classical PCA of Spectra Objects
coordProjCS

Modified Version of coordProj from mclust
hcaSpectra

Plot HCA Results of a Spectra Object
colorSymbol

Colors and Symbols in ChemoSpec and Spectra Objects
plotScores

Plot PCA Scores of a Spectra Object
evalClusters

Evaluate or Compare the Quality of Clusters Quantitatively
SrE.IR

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

Assign Group Membership and Colors for a Spectra Object
chkSpectra

Verify the Integrity of a Spectra Object
binSpectra

Bin or Bucket a Spectra Object
removeSample

Remove Samples or Groups from a Spectra Object
cv_pcaSpectra

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

Spectra Objects
plotScoresCor

Compute Confidence Ellipses
plotScoresDecoration

Decorate PCA Score Plot of a Spectra Object
check4Gaps

Check for Missing Values (Gaps)
clupaSpectra

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

Display the Spectra in a Spectra Object One at a Time
plotSpectraJS

Plot a Spectra Object Interactively
ChemoSpec-package

Exploratory Chemometrics for Spectroscopy
surveySpectra

Plot Measures of Central Tendency and Spread for a Spectra Object
metMUD1

Made Up NMR Data Sets
aovPCAloadings

Plot aovPCAscores Loadings of a Spectra Object
binData

Bin or Bucket Data
readJDX

Read and process a JCAMP-DX file.
r_pcaSpectra

Robust PCA of a Spectra Object
plot2Loadings

Plot PCA Loadings from a Spectra Object Against Each Other
sampleDistSpectra

Compute the Distance Between Samples in a Spectra Object
hmapSpectra

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

Scree Plots of PCA Results for a Spectra Object
rowDist

Compute Distance Between Rows of a Matrix
plotSpectra

Plot Spectra Object
plotHCA

Plot Dendrogram for Spectra Object
baselineSpectra

Baseline Correction of a Spectra Object
plotScores3D

3D PCA Score Plot for a Spectra Object
q2rPCA

Conversion Between PCA Classes
shrinkLeaf

Shrink the Leaves of a Dendrogram Based on a Spectra Object
splitSpectraGroups

Create New Groups from an Existing Spectra Object
sumGroups

Summarize the Group Parameters of a Spectra Object
seXy

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

Label Extreme Values in a 2D Data Set
sumSpectra

Summarize a Spectra Object
conColScheme

Change the Color Scheme of a Spectra Object
removeFreq

Remove Frequencies from a Spectra Object
pcaDiag

Outlier Diagnostic Plots for PCA of a Spectra Object
colLeaf

Color the Leaves of a Dendrogram Based on a Spectra Object
sPlotSpectra

s-Plot of Spectra Data Post PCA
files2SpectraObject

Merge Files in a Directory into a Spectra Object
aov_pcaSpectra

ANOVA-PCA Analysis of Spectra Data
plotLoadings

Plot PCA Loadings for a Spectra Object
hcaScores

HCA on PCA scores from a Spectra Object
labelExtremes3d

Identify Extreme Values in 3D
normVec

Normalize a Vector to range -1 to +1
mclustSpectra

mclust Analysis of a Spectra Object PCA Results
makeEllipsoid

Create Ellipsoid
mclust3D

mclust Analysis in 3D
hypTestScores

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

Normalize a Spectra Object
isWholeNo

Determine if a Number is a Whole Number
mclust3dSpectra

mclust Analysis of a Spectra Object in 3D
aovPCAscores

Plot ANOVA-PCA Scores from a Spectra Object