Data on life history traits for the partridge pea
Chamaecrista fasciculata
Usage
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.
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.
Etterson, J. R., and Shaw, R. G. (2001).
Constraint to adaptive evolution in response to global warming.
Science, 294, 151-154.
These data are reanalyzed 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.
Examples
data(chamae)
### wide version
chamaew <- reshape(chamae, direction = "wide", timevar = "varb",
v.names = "resp", varying = list(levels(chamae$varb)))