
Calculate stature estimation according to: Trotter & Gleser 'American Negro'.
Source:R/trotter_gleser_1952_an.R
trotter_gleser_1952_an.RdStature estimation (mm) based on the hierarchy of different regression calculations, separated by sex (Trotter & Gleser 1952, 1977) series 'American Negro'. Bone measures used: Fem1, Tib1b, Fib1, Uln1, Rad1, Hum1 If bone measures for left and right are provided the mean value will be used, but for statistic information 2 bones will be counted (n_measures). If sex is indet. the mean of male and female stature estimation is given. The calculation is based on Trotter & Gleser (1952) with corrections from Trotter & Gleser (1977). The regression formula are hierarchical from combinations of different bone measures to single bone measures. Only the first applicable measure will be used (Siegmund 2010, 112).
Returns a data.frame with:
ind: individual identifyer (rownames),
sex: as provided for calculation: m, f, indet.
stature: estimated on the provided sex and bone measures,
bone (measure(s)): bones used for calculation,
if_female (stature): columns with alternative stature for three sex classes,
if_male (stature),
if_indet. (stature) and
n_measures: number of bone measures included: e.g. 2 Fem2 (left, right) + 1 Tib1
References
Trotter M, Gleser GC (1952).
“Estimation of stature from long bones of American Whites and Negroes.”
American Journal of Physical Anthropology, 10(4), 463–514.
ISSN 1096-8644.
doi:10.1002/ajpa.1330100407
.
https://onlinelibrary.wiley.com/doi/abs/10.1002/ajpa.1330100407.
Trotter M, Gleser GC (1977).
“Corrigenda to “estimation of stature from long limb bones of American Whites and Negroes,” American Journal Physical Anthropology (1952).”
American Journal of Physical Anthropology, 47(2), 355–356.
ISSN 1096-8644.
doi:10.1002/ajpa.1330470216
.
https://onlinelibrary.wiley.com/doi/abs/10.1002/ajpa.1330470216.
Siegmund F (2010).
Die Körpergröße der Menschen in der Ur- und Frühgeschichte Mitteleuropas und ein Vergleich ihrer anthropologischen Schätzmethoden.
Books on Demand, Norderstedt.
ISBN 978-3-8391-5314-7.
Examples
# Read example dataset into a data frame.
x <- statuAAR::TrotterGleser1952
x <- x[x$Race == "Black", ]
#'
# Create & check the data frame of mesures concordance for Trotter & Gleser 1952
measures.concordance <- create.measures.concordance()
measures.concordance[measures.concordance$own != "",]
#> short long own
#> 1 Fem1 Femur.1 Fem
#> 10 Hum1 Humerus.1 Hum
#> 19 Rad1 Radius.1 Rad
#> 28 Tib1 Tibia.1 Tib
#> 37 Uln1 Ulna.1 Ulna
#'
# Prepare statuaar_data_table
dl.tgb <- statuAAR::prep.statuaar.data(x, d.form = "wide", ind = "Appendix_row",
sex = "Sex", measures.names = "own", stats = FALSE)
#'
# Calculate stature estimation using a given formula.
# Retrieve the first element of the list and display the first 6 lines.
statuAAR::getStature(c("tg01"), dl.tgb)[[1]] |> head(6)
#> sex stature bone if_female if_male if_indet n_measures
#> 2_1 m 1520 4. Fem1 1480 1520 1500 1
#> 2_10 m 1611 4. Fem1 1578 1611 1594 1
#> 2_11 m 1619 4. Fem1 1587 1619 1603 1
#> 2_12 m 1630 4. Fem1 1599 1630 1614 1
#> 2_13 m 1640 4. Fem1 1610 1640 1625 1
#> 2_14 m 1651 4. Fem1 1621 1651 1636 1
# trotter_gleser_1952_an(dl.tgb) # The alternative.