Description
Analysis of the Interpopulation Difference in Degree of Sexual Dimorphism Using Summary Statistics.
Description
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) <doi:10.1002/ajpa.1330660105>, Greene, D. L. (1989) <doi:10.1002/ajpa.1330790113> and Konigsberg, L. W. (1991) <doi:10.1002/ajpa.1330840110>.
README.md
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):
- Sex : either M for male or F for female (Raw data)
- Pop : studied populations (Summary/Raw data)
- Trait : studied traits or parameters (Summary)
- m : male sample size (Summary)
- f : female sample size (Summary)
- M.mu: male mean (Summary)
- F.mu : female mean (Summary)
- M.sdev : male standard deviation (Summary)
- 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
andraw_gen
functions input, can be be found in the attached data sets under the namesbaboon.parms_list
andbaboon.parms_df
respectively.
Examples of data entry
Summary statistics for univariate analysis
Comparison of maximal femur length and mediolateral diameter in mid-shaft
Pop | m | M.mu | M.sdev | f | F.mu | F.sdev |
---|---|---|---|---|---|---|
Turkish | 150 | 49.39 | 3.01 | 150 | 42.91 | 2.90 |
Bulgarian | 82 | 48.33 | 2.53 | 58 | 42.89 | 2.84 |
Summary statistics for multivariate analysis and raw data generation
Comparison of maximal femur length and mediolateral diameter in mid-shaft
Pop | Trait | m | M.mu | M.sdev | f | F.mu | F.sdev |
---|---|---|---|---|---|---|---|
Bulgarian | MXFL | 82 | 461.80 | 19.90 | 58 | 411.70 | 23.20 |
Greek | MXFL | 36 | 440.40 | 19.60 | 34 | 409.80 | 21.40 |
Bulgarian | MLD | 82 | 27.67 | 2.21 | 58 | 24.89 | 1.78 |
Greek | MLD | 36 | 27.74 | 1.79 | 34 | 26.69 | 2.42 |
Raw data for summary extraction
The Howells' craniometric data
Sex | Pop | GOL | NOL | BNL | BBH | XCB | XFB | ZYB | AUB |
---|---|---|---|---|---|---|---|---|---|
M | NORSE | 189 | 185 | 100 | 135 | 143 | 120 | 133 | 119 |
F | NORSE | 179 | 177 | 97 | 127 | 140 | 114 | 122 | 118 |
M | EGYPT | 192 | 190 | 104 | 132 | 140 | 116 | 134 | 125 |
F | EGYPT | 174 | 172 | 93 | 123 | 140 | 118 | 121 | 114 |
Summary statistics for van_vark function
Howells summary data
Trait | Pop | M.mu | m | F.mu | f |
---|---|---|---|---|---|
GOL | EGYPT | 185.6207 | 58 | 175.5849 | 53 |
GOL | NORSE | 188.4727 | 55 | 179.9818 | 55 |
NOL | EGYPT | 183.569 | 58 | 175.0377 | 53 |
NOL | NORSE | 186.1818 | 55 | 178.6909 | 55 |