Data on life history traits for four years and five fitness components
Usage
data(sim)
Format
Loads nine objects.
The objects beta.true, mu.true, phi.true, and
theta.true are the simulation truth parameter values in
different parametrizations.
beta.true
Regression coefficient vector for model
resp ~ varb + 0 + z1 + z2 + I(z1^2) + I(z1*z2) + I(z2^2).
mu.true
Unconditional mean value parameter vector for same
model.
phi.true
Unconditional canonical value parameter vector for
same model.
theta.true
Conditional canonical value parameter vector for
same model.
The objects fam, pred, and vars
specify the aster model graphical and probabilistic structure.
fam
Integer vector giving the families of the variables in
the graph.
pred
Integer vector giving the predecessors of the variables in
the graph.
vars
Character vector giving the names of the variables in
the graph.
The objects ladata and redata are the simulated data
in two forms "wide" and "long" in the terminology
of the reshape function.
ladata
Data frame with variables y, z1,
z2 used for Lande-Arnold type estimation of fitness landscape.
y is the response, fitness, and z1 and z1 are
predictor variables, phenotypes.
redata
Data frame with variables resp, z1,
z2, varb, id, root
used for aster type estimation of fitness landscape.
resp is the response, containing all components of fitness,
and z1 and z1 are predictor variables, phenotypes.
varb is a factor whose levels are are elements of vars
indicating which elements of resp go with which nodes of the
aster model graphical structure. The variables z1 and z2
have been set equal to zero except when grep("nseed", varb) is
TRUE. For the rationale see Section 3.2 of TR 669 referenced
below.
Source
Geyer, C. J and Shaw, R. G. (2008)
Supporting Data Analysis for a talk to be given at Evolution 2008.
Technical Report No. 669. School of Statistics, University of Minnesota.
http://www.stat.umn.edu/geyer/aster/.
References
Geyer, C. J and Shaw, R. G. (2009)
Hypothesis Tests and Confidence Intervals
Involving Fitness Landscapes fit by Aster Models.
Technical Report No. 671. School of Statistics, University of Minnesota.
http://www.stat.umn.edu/geyer/aster/.