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 a specific name (case sensitive):

1. Sex : Either M for male or F for female (Raw data)
2. Pop : Populations of the measured individuals (Summary/Raw data)
3. Parms : Measured numerical parameters for multivariate analysis and raw data generation (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 entered as factors.
• The list and the data frame formats for the multivariate and RawGen functions can be be found in the attached data sets under the names baboon.parms_list and baboon.parms_df respectively.
• In the input of most of the functions, columns are referred to by number to avoid confusion.

Examples

Summary statistics for univariate analysis

Comparison of femur head diameters in two populations

Summary statistics for multivariate analysis and raw data generation

Comparison of femur head diameters in two populations

Raw data for summary extraction

The Howells' craniometric data