Calculation of statistics and proportions of taxon traits for plot observations or groups of observations, considering data relationships, taxonomic ranks and the handling of not available values.
The function trait_stats()
calculates statistics for numeric variables,
while the function trait_proportion()
may be used for
categorical variables. In the first case, a column with the name of the
variable and a suffix will be generated, while in the second case, one
additional column per selected trait level will be calculated.
Both mentioned functions offer the alternative weighted and unweighted
calculations (e.g. calculations weighted by the abundance of species). In
the particular case of trait_stats()
, customized functions have to be
defined as foo(x, w, ...)
, where w
is the weight.
With the arguments taxon_level
and merge_to
the used taxonomic ranks
can be defined, where the first one indicates which ranks
have to be considered in the calculations and the second one determine the
aggregation of taxa from a lower level to a parental one.
Formula methods allow for the calculation of multiple variables at once. The
formulas have to be written as trait_1 + ... + trait_n ~ head_var
.
trait_stats(trait, object, ...)# S4 method for character,vegtable
trait_stats(
trait,
object,
FUN,
head_var,
taxon_level,
merge_to,
weight,
suffix = "_stats",
in_header = FALSE,
...
)
# S4 method for formula,vegtable
trait_stats(trait, object, weight, suffix = "_stats", in_header = FALSE, ...)
trait_proportion(trait, object, ...)
# S4 method for character,vegtable
trait_proportion(
trait,
object,
head_var,
trait_level,
taxon_level,
merge_to,
include_nas = TRUE,
weight,
suffix = "_prop",
in_header = FALSE,
...
)
# S4 method for formula,vegtable
trait_proportion(trait, object, in_header = FALSE, ...)
A data frame with the proportions of traits levels or statistics for
the trait variable, or an object of class vegtable including those
results at the slot header
.
Either a character value indicating the name of trait variable
or a formula including both arguments, trait
and head_var
.
A vegtable object.
Further arguments passed among methods. In the case of the formula method, arguments are passed to the character method.
A function usually defined as foo(x, ...)
or as
foo(x, w, ...)
for weighted statistics.
Character value, the name of the variable at slot header to be used as aggregation level for the calculation of statistics or proportions. If not provided, the function will use ReleveID by default.
Character value indicating a selected taxonomic rank for the output.
Character value indicating the taxonomic rank for aggregation of taxa. All ranks lower than the one indicated here will be assigned to the respective parents at the required taxonomic rank.
Character value indicating the name of the variable at slot samples used as weight for the proportions. Usually the numeric abundance.
A suffix added to the name of the trait variable or to the levels of categorical trait variables. I is meant to avoid homonymous variables within the same object.
Logical value indicating whether the output should be inserted in the slot header or provided as data frame.
Character vector indicating a selection of levels from a trait, in the case that some levels should be ignored in the output. Trait levels that are skipped at output will be still used for the calculation of proportions. This argument gets only applied for the character method.
Logical value indicating whether NAs should be considered for the calculation of proportions or not.
Miguel Alvarez kamapu78@gmail.com
## Cocktail classification of plots
Wetlands_veg@header <- make_cocktail(Wetlands, Wetlands_veg, cover="percen")
## Calculation of proportion of Cyperaceae species in the plot
Wetlands_veg <- trait_proportion("FAMILY", Wetlands_veg, trait_level="Cyperaceae",
weight="percen", include_nas=FALSE, in_header=TRUE)
## Display of proportions per plant community
boxplot(Cyperaceae_prop ~ Syntax, Wetlands_veg@header, col="grey")
Run the code above in your browser using DataLab