Replaces missing landmarks in array with NA. Based on k-means clustering, seeks for separated group of landmarks (for example you can put all missing landmarks in the corner of the picture). Also handles with tpsdig way of writing missing andmarks (-1, -1). Also can clear specimens IDs.
1 2 | find.missing.landmarks(data, method = "clust", clear.names = FALSE,
split = "\\", clust.parameter = 0.45)
|
data |
landmark array |
method |
clustering method |
clear.names |
optional bolean for clearing specimens IDs; default = FALSE |
split |
optional split pattern for clearing IDs (directory mark); default = '\' |
clust.parameter |
minimal proportion of missed landmarks in 'clust method; deafult = 0.45 |
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