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")

or the development version from GitHub:

devtools::install_github("bassam-abulnoor/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 RawGen 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