1. Remko Duursma
  2. smatr

Overview

smatr: (Standardised) Major Axis Estimation and Testing Routines

Smatr is an R package for fitting (Standardised) Major Axis Lines to bivariate data. The package is described in the following publication:

Warton, David I., Duursma, Remko A., Falster, Daniel S. and Taskinen, Sara (2012) smatr 3 - an R package for estimation and inference about allometric lines Methods in Ecology and Evolution, 3(2), 257-259. doi:10.1111/j.2041-210X.2011.00153.x.

Abstract:

1. The Standardised Major Axis Tests and Routines (SMATR) software provides tools for estimation and inference about allometric lines, currently widely used in ecology and evolution. 2. This paper describes some significant improvements to the functionality of the package, now available on R in smatr version 3. 3. New inclusions in the package include sma and ma functions that accept formula input and perform the key inference tasks; multiple comparisons; graphical methods for visualising data and checking (S)MA assumptions; robust (S)MA estimation and inference tools.

The package was programmed was David Warton, Remko Duursma and Daniel Falster and is maintained by Remko Duursma here.

Install

You can get this package from CRAN here, or install it within R by doing

install.packages("smatr")

Another option to install is install_github with Hadley Wickham's devtools package.

install.packages("devtools")
require(devtools)
install_bitbucket ("smatr", "remkoduursma")
require(smatr)

Meta

Please report any issues or bugs.

To cite package smatr in publications use:

   Warton, David I., Duursma, Remko A., Falster, Daniel S. and Taskinen,
  Sara (2012) smatr 3 - an R package for estimation and inference about
  allometric lines Methods in Ecology and Evolution, 3(2), 257-259.  doi:10.1111/j.2041-210X.2011.00153.x.

A BibTeX entry for LaTeX users is

@Article{,
    title = {smatr 3 - an R package for estimation and inference about allometric lines},
    author = {David I. Warton and Remko A. Duursma and Daniel S. Falster and Sara Taskinen},
    year = {2012},
    volume = {3},
    pages = {257-259},
    journal = {Methods in Ecology and Evolution},
  }

Get citation information for smatr in R doing citation(package = 'smatr').