Analysis of the Interpopulation Difference in Degree of Sexual Dimorphism Using Summary Statistics

Offers a solution for the unavailability of raw data in most anthropological studies by facilitating the calculations of several sexual dimorphism related analyses using the published summary statistics of metric data (mean, standard deviation and sex specific sample size) as illustrated by the works of Relethford, J. H., & Hodges, D. C. (1985) , Greene, D. L. (1989) and Konigsberg, L. W. (1991) .

TestDimorph

Analysis Of The Interpopulation Difference In Degree of Sexual Dimorphism Using Summary Statistics

Installation

You can install the released version of TestDimorph from CRAN with:

install.packages("TestDimorph")

Data entry

The input can be in the form of wide format raw data or summary statistics where each row represents measurements of a single individual or population. In order to be recognized by the functions, columns need to have specific names (case sensitive):

1. Sex : either M for male or F for female (Raw data)
2. Pop : studied populations (Summary/Raw data)
3. Trait : studied traits or parameters (Summary)
4. m : male sample size (Summary)
5. f : female sample size (Summary)
6. M.mu: male mean (Summary)
7. F.mu : female mean (Summary)
8. M.sdev : male standard deviation (Summary)
9. F.sdev : female standard deviation (Summary)

N.B

• All non numerical values need to be factors.
• The list and the data frame formats for the multivariate and raw_gen functions input, can be be found in the attached data sets under the names baboon.parms_list and baboon.parms_df respectively.

Examples of data entry

Summary statistics for univariate analysis

Comparison of maximal femur length and mediolateral diameter in mid-shaft

Summary statistics for multivariate analysis and raw data generation

Comparison of maximal femur length and mediolateral diameter in mid-shaft

Raw data for summary extraction

The Howells' craniometric data

Summary statistics for van_vark function

Howells summary data