A solution to the problem of estimating fitness landscapes was proposed by Lande
and Arnold (1983). Another solution, which avoids problematic aspects of the
Lande-Arnold methodology, was proposed by Shaw, Geyer, Wagenius, Hangelbroek, and Etterson
(2008), who also provided an illustrative example. Here we provide another example using simulated data that are more suitable to aster analysis.
All analyses are done in R (R Development Core Team, 2008) using the aster contributed package described by Geyer et al. (2007) except for analyses in the style of
Lande and Arnold (1983), which use ordinary least squares regression. Furthermore, all
analyses are done using the Sweave function in R, so this entire technical report and all
of the analyses reported in it are completely reproducible by anyone who has R with the aster package installed and the R noweb file specifying the document.
Geyer, Charles J.; Shaw, Ruth G..
Supporting Data Analysis for a talk to be given at Evolution 2008 University of Minnesota, June 20-24.
School of Statistics, University of Minnesota.
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