Compute summarizing tables from vegtable objects.
This function works in a similar way as crosstable().
Usage
veg_aggregate(object, data, FUN, ...)
# S4 method for class 'formula,vegtable,function'
veg_aggregate(object, data, FUN, use_nas = TRUE, ...)Arguments
- object
A formula indicating the variables used for the summary. As in
crosstable(), the keywords"TaxonName"and"AcceptedName"can be used to retrieve taxonomic names, where the second will set the accepted name for names considered as synonyms.- data
Either a data frame or an object of class vegtable.
- FUN
Function used to aggregate values.
- ...
Further arguments passed to the function
stats::aggregate().- use_nas
Logical value indicating whether NA's should be included in categorical variables or not.
Value
An object of class data.frame.
Author
Miguel Alvarez kamapu78@gmail.com
Examples
## Transform cover to percentage cover
veg <- cover_trans(x = Kenya_veg, to = "cover")
## Frequency of taxa per publication
atab <- veg_aggregate(object = cover ~ AcceptedName + REFERENCE, data = veg, FUN = length)
head(atab)
#> AcceptedName REFERENCE cover
#> 1 Abutilon 2331 34
#> 2 Abutilon hirtum 2331 26
#> 3 Abutilon longicuspe 2331 7
#> 4 Abutilon mauritianum 2331 84
#> 5 Abutilon ramosum 2331 3
#> 6 Acacia 2331 1
## Life form proportions per plot
atab <- veg_aggregate(object = cover ~ lf_behn_2018 + ReleveID, data = veg, FUN = sum)
head(atab)
#> lf_behn_2018 ReleveID cover
#> 1 358 154
#> 2 climbing_plant 358 1
#> 3 facultative_annual 358 1
#> 4 obligate_annual 358 2
#> 5 reptant_plant 358 1
#> 6 tussock_plant 358 1