| binstat | R Documentation |
This function will return the basic sampling summaries of a dataset
binstat(
x,
tax = "genus",
bin = "stg",
coll = NULL,
ref = NULL,
noNAStart = FALSE,
duplicates = NULL,
xexp = NULL,
indices = FALSE
)
x |
|
tax |
|
bin |
|
coll |
|
ref |
|
noNAStart |
(logical) Useful when the dataset does not start from bin no. 1, but positive integer bin numbers are provided. Then |
duplicates |
|
xexp |
( |
indices |
( |
Secondary function of the package that calculates a number of sampling related variables and diversity estimators for each bin.
In contrast to the (divDyn) function, the bins are treated independently in this function.
The function also returns the maximum subsampling quota for OxW subsampling
(subtrialOXW) with a given xexp value.
By setting total to FALSE (default), the following results are output:
occs: The number of occurrences in each time bin.
colls: The number of collections in each time bin.
xQuota: The maximum quota for OxW subsampling (subtrialOXW) with the given xexp value.
The number of occurrences in each collection is tabulated, and is raised to the power of xexp.
The xQuota value is the sum of these values across all collections in a time slice.
refs: The number of references in each time bin.
SIBs: The number of Sampled-In-Bin taxa in each time bin.
occ1: The number of taxa in each time bin, that occur in only 1 collection.
ref1: The number of taxa in each time bin, that occur in only 1 reference.
occ2: The number of taxa in each time bin, that occur in exactly 2 collections.
ref2: The number of taxa in each time bin, that occur in exactly 2 references.
u: Good's u, coverage estimator based on the number of single-collection taxa (occ1).
uPrime: Good's u, coverage estimator based on the number of single-reference taxa (ref1).
chao1occ: Chao1 extrapolation estimator, based on the the number of single-collection and two-collection taxa (occ1).
chao1ref: Chao1 extrapolation estimator, based on the the number of single-reference and two-reference taxa (occ2).
A data.frame with rows corresponding to bin entries.
data(corals)
# slice-specific sampling
basic <- binstat(corals, tax="genus", bin="stg")
# subsampling diagnostic
subStats <- subsample(corals, method="cr", tax="genus", FUN=binstat,
bin="stg", q=100,noNAStart=FALSE)
# maximum quota with xexp
more <- binstat(corals, tax="genus", bin="stg", coll="collection_no", xexp=1.4)
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