This data set gives ecological and biological characteristics of 131 species of aquatic insects.
data(bsetal97)
bsetal97
is a list of 8 components.
is a vector of the names of aquatic insects.
is a data frame containing the taxonomy of species: genus, family and order.
is a data frame containing 10 biological traits for a total of 41 modalities.
is a vector of the numbers of items for each biological trait.
is a vector of the names of the biological traits.
is a data frame with 7 ecological traits for a total of 34 modalities.
is a vector of the numbers of items for each ecological trait.
is a vector of the names of the ecological traits.
The 10 variables of the data frame bsetal97$biol
are called in bsetal97$biol.blo.names
and the number of modalities per variable given in bsetal97$biol.blo
. The variables are:
female size - the body length from the front of the head to the end of the abdomen (7 length modalities),
egg length - the egg size (6 modalities), egg number - count of eggs actually oviposited,
generations per year (3 modalities:
The 7 variables of the data frame bsetal97$ecol
are called in bsetal97$ecol.blo.names
and the number of modalities per variable given in bsetal97$ecol.blo
. The variables are:
oviposition site - position relative to the water (7 modalities), substratum type for eggs - the substratum to which
the eggs are definitely attached (6 modalities), egg deposition - the position of the eggs during the oviposition process (4 modalities),
gross habitat - the general habitat use of the species such as temporary waters or estuaries (8 modalities), saturation variance -
the exposure of eggs to the risk of dessication (2 modalities), time of day (1-morning, 2-day, 3-evening, 4-night),
season - time of the year (1-Spring, 2-Summer, 3-Automn).
See a data description at http://pbil.univ-lyon1.fr/R/pdf/pps029.pdf (in French).
# NOT RUN {
data(bsetal97)
X <- prep.fuzzy.var(bsetal97$biol, bsetal97$biol.blo)
Y <- prep.fuzzy.var(bsetal97$ecol, bsetal97$ecol.blo)
plot(coinertia(dudi.fca(X, scan = FALSE),
dudi.fca(Y, scan = FALSE), scan = FALSE))
# }
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