jnt

An R package to carry out the Johnson-Neyman Technique for ANCOVA data. Find areas of non-significant slope differences.

Installation

You can install the most recent version directly from github using install_github() from the devtools package.

require(devtools)
install_github("jnt", "kmiddleton")

Note that if you are using Windows, you will first need to install Rtools. Start at http://www.murdoch-sutherland.com/Rtools/ and follow the links to CRAN.

References

Johnson PO, Neyman J (1936) Tests of certain linear hypotheses and their application to some educational problems. Statistical Research Memoirs 1:57-93.

Hunka S, Leighton J (1997) Defining Johnson-Neyman regions of significance in three-covariate ANCOVA using mathematica. Journal of Educational and Behavioral Statistics 22: 361-387.

White CR (2003) Allometric analysis beyond heterogenous regression slopes: Use of the Johnson-Neyman Technique in comparative biology. Physiol Biochem Zool 76: 135-140.

Examples

White CR (2003) The influence of foraging mode and arid adaptation on the basal metabolic rates of burrowing mammals. Physiol Biochem Zool 76: 122-134.

example(White.1)

Lavin SR, Karasov WH, Ives AR, Middleton KM, Garland T, Jr (2008) Morphometrics of the avian small intestine compared with that of nonflying mammals: A phylogenetic approach. Physiol Biochem Zool 81: 526-550.

example(Lavin.1)