sim {aster} | R Documentation |

Data on life history traits for four years and five fitness components

data(sim)

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.

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://hdl.handle.net/11299/56204.

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://hdl.handle.net/11299/56219.

data(sim) ## Not run: ### CRAN policy says examples must take < 5 sec. This doesn't. out6 <- aster(resp ~ varb + 0 + z1 + z2 + I(z1^2) + I(z1*z2) + I(z2^2), pred, fam, varb, id, root, data = redata) summary(out6) ## End(Not run) lout <- lm(y ~ z1 + z2 + I(z1^2) + I(z1*z2) + I(z2^2), data = ladata) summary(lout)

[Package *aster* version 1.1-2 Index]