RADanalysis: Normalization and Study of Rank Abundance Distributions

It has tools for normalization of rank abundance distributions (RAD) to a desired number of ranks using MaxRank Normalization method. RADs are commonly used in biology/ecology and mathematically equivalent to complementary cumulative distributions (CCDFs) which are used in physics, linguistics and sociology and more generally in data science.

Install the latest version of this package by entering the following in R:
install.packages("RADanalysis")
AuthorMohmmadkarim Saeedghalati [aut, cre], Farnoush Farahpour [aut], Daniel Hoffmann [aut]
Date of publication2016-03-15 15:10:40
MaintainerMohmmadkarim Saeedghalati <m.saeedghalati@uni-due.de>
LicenseGPL-3
Version0.5.5

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Files

inst
inst/doc
inst/doc/RADanalysis_intro.R
inst/doc/RADanalysis_intro.html
inst/doc/RADanalysis_intro.Rmd
NAMESPACE
data
data/gut_otu_table.rda
data/gut_nrads.rda
R
R/RADanalysis.R R/representative.R R/normalization.R R/data.R
vignettes
vignettes/RADanalysis_intro.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/RADnormalization_matrix.Rd man/gut_otu_table.Rd man/RADanalysis.Rd man/gut_nrads.Rd man/representative_point.Rd man/representative_RAD.Rd man/RADnormalization.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.