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Sixteen landmarks taken from the lateral profile of 73 specimens from the Essequibo and rio Branco drainages, used in the description of Guianacara dacrya
● Data Source:
CranContrib
● Keywords:
● Alias: dacrya
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Estimates missing morphometric using regression on the most highly correlated morphological variable available
● Data Source:
CranContrib
● Keywords:
● Alias: best.reg
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This function simulates higher frequency of missing data points in groups that are less numerically well represented in the whole sample, relative to other group. These groups may represent taxa (as used in Brown et al., In Press), but may also represent any other group of interest (e.g. populations, trials, subsamples, etc.). From a morphometric dataset, this function selects a number of specimens to have data points removed from and a number of measurements to remove from each of these specimens based on the distribution of missing data produced by missing.data. A vector containing the number of measurements to remove from each specimen is produced and sorted into descending order. Specimens are then sampled without replacement with a probability relative to the sum of the entire sample sizes divided by the number of specimens its respective group. The order the specimens are sampled determines the number of data points to be removed (i.e. the first to be sampled has the most removed). A complete mathematical description may be found in Brown et al. (In Press).
● Data Source:
CranContrib
● Keywords:
● Alias: byclade
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A linear morphometric dataset featuring 23 cranial measurements from 223 specimens representing 21 crocodilian species.
● Data Source:
CranContrib
● Keywords:
● Alias: crocs
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Randomly replaces a set percentage of data points in a matrix of morphometric measurements with NA to simulate missing data. This is function RMD from Brown et al. (In Press).
● Data Source:
CranContrib
● Keywords:
● Alias: missing.data
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This function carries out a generalized procrustes superimposition on all fully complete specimens and produces a consensus confirguration (using "Shapes" procGPA). Each incomplete specimen is then individually rotated and aligned with the consensus configuration based on any landmarks are available (using "Shapes" procOPA). Landmarks are returned in the same shape space as the original dataset. Both 2D and 3D coordinates can be accommodated.
● Data Source:
CranContrib
● Keywords:
● Alias: align.missing
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Randomly selects a pre-determined number of specimens from a landmark dataset (2D or 3D) and removes some of their landmarks.
● Data Source:
CranContrib
● Keywords:
● Alias: missing.specimens
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Calculates the percentage of morphometric data points that have been replaced with 'NA' by functions such as missing.data, byclade or obliterator from LOST. Used to verify the amount of missing data inputted into complete morphometric matrices.
● Data Source:
CranContrib
● Keywords:
● Alias: how.many.missing
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Estimates missing data using regression on a designated size variable. Any values of the size variable missing are estimated with the variable best correlated with size.
● Data Source:
CranContrib
● Keywords:
● Alias: est.reg
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This function takes a dataset containing both complete and incomplete specimens and removes all incomplete specimens.
● Data Source:
CranContrib
● Keywords:
● Alias: complete.specimens
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providing 
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