chamae {aster}

Life History Data on Chamaecrista fasciculata

Description

Data on life history traits for the partridge pea Chamaecrista fasciculata

Usage

data(chamae)

Format

A data frame with records for 2235 plants. Data are already in “long” format; no need to reshape.

resp

Response vector.

varb

Categorical. Gives node of graphical model corresponding to each component of resp. See details below.

root

All ones. Root variables for graphical model.

id

Categorical. Indicates individual plants.

STG1N

Numerical. Reproductive stage. Integer with only 3 values in this dataset.

LOGLVS

Numerical. Log leaf number.

LOGSLA

Numerical. Log leaf thickness.

BLK

Categorical. Block within experiment.

Details

The levels of varb indicate nodes of the graphical model to which the corresponding elements of the response vector resp belong. This is the typical “long” format produced by the R reshape function. For each individual, there are several response variables. All response variables are combined in one vector resp. The variable varb indicates which “original” variable the number was for. The variable id indicates which individual the number was for. The levels of varb, which are the names of the “original” variables are

fecund

Fecundity. Bernoulli, One if any fruit, zero if no fruit.

fruit

Integer. Number of fruits observed. Greater than or equal 3 if nonzero.

seed

Integer. Number of seeds observed from a random sample of 3 of the fruits for this individual.

Source

Julie Etterson https://sites.google.com/d.umn.edu/dr-julie-r-etterson/home

References

These data are a subset of data previously analyzed by non-aster methods in the following.

Etterson, J. R. (2004). Evolutionary potential of Chamaecrista fasciculata in relation to climate change. I. Clinal patterns of selection along an environmental gradient in the great plains. Evolution, 58, 1446-1458. doi:10.1111/j.0014-3820.2004.tb01726.x.

Etterson, J. R., and Shaw, R. G. (2001). Constraint to adaptive evolution in response to global warming. Science, 294, 151-154. doi:10.1126/science.1063656.

These data are reanalyzed by aster methods in the following.

Shaw, R. G., Geyer, C. J., Wagenius, S., Hangelbroek, H. H., and Etterson, J. R. (2008) Unifying life history analyses for inference of fitness and population growth. American Naturalist, 172, E35-E47. doi:10.1086/588063.

Examples

data(chamae)
### wide version
chamaew <- reshape(chamae, direction = "wide", timevar = "varb",
    v.names = "resp", varying = list(levels(chamae$varb)))