Fteydea | R Documentation |
A song based dataset constructed from dynamic time-warping to create dissimilarity
metrics. The datasets includes 4 objects: a specimens information data.frame, a
square dissimilarity matrix a kin to a distance matrix, a boundary correlation array
for the total dataset and a boundary correlation array for the NE subregion. The
boundary correlation arrays are provided for convenience and as the trait
boundary correlation calculations in the BoundaryFinder
function is time consuming.
This data is previously unpublished.
Fteydea
A list of 4 objects:
Specimen information for F. teydea dataset in the form of a data.frame with 3 columns (ID, Lat, Long) and 116 rows.
Square distance matrix with pairwise dynamic time-warping distance between all 116 F. teydea specimens.
A list including a dataframe with provenancing area (in m2) and an array of trait boundary finding correlation values using Spearman's method for all 116 Tenerifian specimens for inputting into the PlotBoundaries
function. This is provided as an example because the BoundaryFinder
function can take a long time to compute.
A list including a dataframe with provenancing area (in m2) and an array of trait boundary finding correlation values using Spearman's method for all 29 NE subregion specimens for inputting into the PlotBoundaries
function. This is provided as an example because the BoundaryFinder
function can take a long time to compute.
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