Multivariate Analysis and Visualization for Biological Data

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Documentation for package ‘multiDimBio’ version 1.2.2

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multiDimBio-package Multivariate Analysis and Visualization for Biological Data
binomPower Power analysis for estimating the heritability of a binomial trait
boxWhisker A function to create a box and whisker plot by group ID
completeData Function to impute missing data.
CondA Treatment condition for animals contained in the data set Nuclei
CondB Stress condition for animals contained in the data set Nuclei
Dyad Housing dyad for animals contained in the data set Nuclei
FSelect A Function to perform step-wise discriminant analysis using F statistics
getP An internal function for getting empirical p values
Groups The group ID for animals contained in the data set Nuclei
h2Estimate Estimates the heritability of a binomial trait
IntPlot A function to visualize the results of a MANOVA
LandscapePlot A function to visualize the Functional Landscape of measured traits
ldaPlot A function to visualize the results of a discriminant analysis
Loadings A function to visualize trait loadings onto discriminant function and principle component axes
makeCompMat A function to create a pairwise comparison matrix
MeanCent A function to scale data to mean 0
multiDimBio Multivariate Analysis and Visualization for Biological Data
Nuclei Brain activity in 14 brain regions for 71 individuals
partialF A function to compute partial F statistics
PercentMax A function to scale data to the percent of the maximum observed
PermuteLDA A function to determine whether two groups are in statistically different locations in multivariate space See Collyer and Adams 2007
plotBinomPower A function to plot the results of a binomPower run
Power A function to estimate the error rate for FSelect and PermuteLDA.
PPCA A function to perform a probabilistic principle component analysis
Scores Principle component scores based on the data in Nuclei
simPower An internal function of binomPower, which actually calculates the p value
ZTrans A function to convert data into a z-score