A simulated dataset containing repeated measurements of life-history traits for 100 Rhinograd species.
This dataset is in "long" format, with 10 observations per species, suitable for testing
measurement error models using variability = "reps".
Format
A data frame with 1000 rows (10 replicates x 100 species) and 6 columns:
- SP
Character. Species names matching the tip labels in
rhino.tree. Each species appears 10 times.- BM
Numeric. Body mass (repeated measurements)
- LS
Numeric. Litter size (repeated measurements)
- NL
Numeric. Nose length (repeated measurements)
- DD
Numeric. Dispersal distance (repeated measurements)
- RS
Numeric. Range size (repeated measurements)
Details
This dataset was simulated by adding white noise to the original rhino.dat species values.
It represents a scenario where each species has 10 independent observations for each trait.
This allows using the variability = "reps" option in because() to explicitly model measurement error.
The underlying causal model is the same as for rhino.dat.