TestDimorph: Analysis of the Interpopulation Degree of Sexual Dimorphism using Summary Statistics

Provides two approaches of comparison; the univariate and the multivariate analysis in two or more populations. Since the main obstacle of performing systematic comparisons in anthropological studies is the absence of raw data, the current package offer a solution for this problem by allowing the use of published summary statistics of metric data (mean, standard deviation and sex specific sample size) as illustrated by the works of Greene, D. L. (1989) <doi:10.1002/ajpa.1330790113> and Konigsberg, L. W. (1991) <doi:10.1002/ajpa.1330840110>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: biotools, plyr, rowr, stats, utils, reshape2, purrr
Suggests: Rdpack, corrplot
Published: 2019-06-14
Author: Bassam A. Abulnoor [aut, cre], MennattAllah H. Attia [aut], Lyle W. Konigsberg [ctb, dtc] (The authors would like to express their endless gratitude to prof. Konigsberg for his contribution to this package with authentic code used in the multivariate and extract_sum functions, datasets used in the examples and for his overall valuable work in the field of physical anthropology without which this package wouldn't have been possible)
Maintainer: Bassam A. Abulnoor <bas12 at fayoum.edu.eg>
License: GPL-3
NeedsCompilation: no
CRAN checks: TestDimorph results


Reference manual: TestDimorph.pdf
Package source: TestDimorph_0.1.0.tar.gz
Windows binaries: r-devel: TestDimorph_0.1.0.zip, r-release: TestDimorph_0.1.0.zip, r-oldrel: TestDimorph_0.1.0.zip
OS X binaries: r-release: not available, r-oldrel: not available


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