radish | R Documentation |
Data on life history traits for the invasive California wild radish Raphanus sativus
data(radish)
A data frame with records for 286 plants. Data are already in “long” format; no need to reshape.
Response vector.
Categorical. Gives node of graphical model corresponding
to each component of resp
. See details below.
All ones. Root variables for graphical model.
Categorical. Indicates individual plants.
Categorical. Experimental site where plant was grown. Two sites in this dataset.
Categorical. Block nested within site.
Categorical. Region from which individuals were obtained: northern, coastal California (N) or southern, inland California (S).
Categorical. Wild population nested within region.
Indicator (zero or one). Shorthand
for as.numeric(radish$varb == "Flowering")
.
Indicator (zero or one). Shorthand
for as.numeric(radish$varb == "Flowers")
.
Indicator (zero or one). Shorthand
for as.numeric(radish$varb == "Fruits")
. So-called because the
components of outcome
indicated are the best surrogate of
Darwinian fitness in these data.
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
Indicator (zero or one). Bernoulli, One if individual survived to produce flowers.
Integer. Zero-truncated Poisson, number of flowers observed.
Integer. Poisson, number of fruits observed.
Graphical model is
1 \longrightarrow \mbox{Flowering} \longrightarrow \mbox{Flowers} \longrightarrow \mbox{Fruits}
Caroline Ridley
These data are a subset of data previously analyzed using fixed effect
aster methods (R function aster
) in the following.
Ridley, C. E. and Ellstrand, N. C. (2010). Rapid evolution of morphology and adaptive life history in the invasive California wild radish (Raphanus sativus) and the implications for management. Evolutionary Applications, 3, 64–76.
These data are a subset of data previously analyzed using random effect
aster methods (R function reaster
) in the following.
Geyer, C. J., Ridley, C. E., Latta, R. G., Etterson, J. R., and Shaw, R. G. (2013) Local Adaptation and Genetic Effects on Fitness: Calculations for Exponential Family Models with Random Effects. Annals of Applied Statistics, 7, 1778–1795. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/13-AOAS653")}.
pickle
data(radish)
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