Tool to build a data.frame suitable for morphometric maps
ToothDF(
tooth.thickness,
rem.out = TRUE,
fac.out = 0.5,
smooth = TRUE,
scale = TRUE,
smooth.iter = 5,
method = "equiangular",
labels = c("Li", "Mes", "Bu", "D", "Li"),
relThick = FALSE
)XYZ data.frame for morphometric map
labels character vector for x labels in the morphometric map
list: tooth.Thickness object
logical: if TRUE the outlier will be removed
numeric: parameter to set the threshold in outliers detection
logical: if TRUE the smooth algorithm is applied
logical: if TRUE the thichkness matrix is scaled from 0 to 1
numeric: number of smoothing iterations
character: if set on "equiangular" the dental thickness is meant as the distance of the segment intersecting the external and internal outline starting from the centroid of the section. If set on "closest" the dental thickness is calculated at each point as the closest distance between external and internal outlines
character vector: names for x labels in the morphometric map
logical: if TRUE the dental thickness is converted into relative dental thickness
Antonio Profico; Mathilde Augoyard