The normalised digest should exclude any fields or attributes irrelevant to the core contents of the object (e.g. timestamps, absolute location of the input files on disk etc). In theory then, this value should be constant for the same data regardless of the particular machine on which the digest is being computed.

ndigest(x, ...)

# S3 method for neuronlistfh
ndigest(x, ...)

# S3 method for dotprops
ndigest(x, absoluteVectors = TRUE, ...)

# S3 method for neuron
ndigest(x, fieldsToExclude = c("InputFileName",
"CreatedAt", "NodeName", "InputFileStat", "InputFileMD5"), ...)

## Arguments

x Object for which a normalised digest will be computed. Additional arguments passed to methods and then on to digest Whether to check only the absolute value of eigenvectors for equality (default TRUE, see details) Character vector naming the neuron fields to exclude

## Value

A character string containing the digest of the supplied object computed by digest.

## Details

ndigest.neuronlistfh only considers the keyfilemap and df (metadata data.frame) when computing the hash value. See neuronlistfh for the significance of these two fields.

ndigest.dotprops ignores any mtime or file attributes. It also converts tangent vectors to absolute values (when absoluteVectors=TRUE) because the direction vectors are computed using an eigenvector decomposition where the sign of the eigenvector is essentially random and subject to small numerical instabilities. Therefore it does not usually make sense to rely on the value of vect exactly.

ndigest.neuron ignores the following fields:

• InputFileName

• CreatedAt

• NodeName

• InputFileStat

• InputFileMD5

digest
all.equal.dotprops
all.equal.neuron
stopifnot(all.equal(ndigest(kcs20[[1]]), "4c045b0343938259cd9986494fc1c2b0"))