Learn R Programming

⚠️There's a newer version (1.2.5) of this package.Take me there.

multiDimBio (version 1.2.2)

Multivariate Analysis and Visualization for Biological Data

Description

Code to support a systems biology research program from inception through publication. The methods focus on dimension reduction approaches to detect patterns in complex, multivariate experimental data and places an emphasis on informative visualizations. The goal for this project is to create a package that will evolve over time, thereby remaining relevant and reflective of current methods and techniques. As a result, we encourage suggested additions to the package, both methodological and graphical.

Copy Link

Version

Install

install.packages('multiDimBio')

Monthly Downloads

209

Version

1.2.2

License

GPL (>= 3.0)

Maintainer

Samuel V Scarpino

Last Published

April 9th, 2020

Functions in multiDimBio (1.2.2)

A Function to perform step-wise discriminant analysis using F statistics

A function to visualize trait loadings onto discriminant function and principle component axes

A function to scale data to the percent of the maximum observed

A function to perform a probabilistic principle component analysis

A function to determine whether two groups are in statistically different locations in multivariate space See Collyer and Adams 2007

A function to estimate the error rate for FSelect and PermuteLDA.

Power analysis for estimating the heritability of a binomial trait

Principle component scores based on the data in Nuclei

A function to convert data into a z-score

A function to compute partial F statistics

multiDimBio-package

Multivariate Analysis and Visualization for Biological Data

Estimates the heritability of a binomial trait

A function to visualize the results of a discriminant analysis

An internal function for getting empirical p values

A function to create a pairwise comparison matrix

A function to create a box and whisker plot by group ID

Function to impute missing data.

A function to plot the results of a binomPower run

An internal function of binomPower, which actually calculates the p value

A function to visualize the Functional Landscape of measured traits

A function to scale data to mean 0

Treatment condition for animals contained in the data set Nuclei

The group ID for animals contained in the data set Nuclei

Brain activity in 14 brain regions for 71 individuals

Housing dyad for animals contained in the data set Nuclei

A function to visualize the results of a MANOVA

Stress condition for animals contained in the data set Nuclei