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PELVIS

Installation of the R package PELVIS using devtools

Install prerequisites

  1. Install devtools by typing the following command line into the R console:

     install.packages("devtools")
  2. Install build environment

    • Windows: Install latest version of Rtools. During the installation process, make sure to select "Edit the system path".
    • OSX: Install XCODE

Installing PELVIS

Run the following commands in R:

library(devtools)
install_git('https://gitlab.com/f.santos/pelvis.git')

Installation of the R package PEVIS from CRAN

The latest stable version of PELVIS is also available on CRAN, and can be installed by typing the following command line into the R console :

install.packages("PELVIS", dep=TRUE)

Running PELVIS

To start the graphical interface, run the following commands into the R console:

library(PELVIS)
StartPELVIS()

For most devices, it will be advisable to decrease the zoom level in your web browser.

Citing PELVIS

The users of PELVIS who are willing to cite the package in a scientific article can find citation information by typing:

citation("PELVIS")

into the R console, after installing the package.

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Version

Install

install.packages('PELVIS')

Monthly Downloads

234

Version

1.2.1

License

CeCILL-2 | file LICENSE

Maintainer

Frederic Santos

Last Published

May 13th, 2019

Functions in PELVIS (1.2.1)

refDataBruzek02

Learning dataset for logistic regression models
indivSexing

Internal function for sexing one single human os coxae using revised Bruzek's method (2019)
addMetavars

Internal function
metavar

Internal function used to get the five main characters described by Bruzek (2002) from the eleven visual traits observed on the human os coaxe.
bruzek02

Internal function for sexing the human os coxae using Bruzek's method (2002)
StartPELVIS

An R-Shiny application for the sex estimation of the human os coxae
tenFoldCV.glm

Internal function for evaluating the performance of logistic regression models used in Bruzek's revised method (2019)
PELVIS-package

Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
sexingFromFile

Internal function for sexing several single human ossa coxae using both original and revised Bruzek's methods (2002, 2019)
CTscanDataBruzek

Dataset including 198 virtually reconstructed ossa coxae
rightBonesDataBruzek

Dataset including 518 right ossa coxae