scaling_factor: Align MRB assemblages to the modern reference dataset

In andburch/bayesianfingerprintr: Inferring the Age and Sex of Ancient Potters from Fingerprint Ridge Densities

Align MRB assemblages to the modern reference dataset

Description

Interassemblage variation makes comparing mean ridge breadth (MRB) measurements difficult. This function scales a vector of MRB values to the modern Kralik and Novotny (2003) reference data set.

Usage

scaling_factor(mrbs, x = 0.95, type = "all", adult_age = 15)

Arguments

mrbs	the vector or column of your collected MRB measurements
x	what percentile should serve as the alignment point? (defaults to 95th percentile)
type	are you aligning your data to a subset of the reference data? Options are currently "all","males","females","adult males","adult females","adults". We highly suggest sticking with the default unless there is strong evidence otherwise.
adult_age	what age do you consider to be the threshold for adulthood? (only used when scaling to a subset of the reference data)

Value

the scaling factor that your data should be multiplied by in order to be analagous with modern MRB data

Examples

fake.data <-
data.frame(
 id.number = 1:100,
  mrb = c(rgamma(50,64,160), rgamma(50,2500,5000)),
  location = sample(c("palace", "domestic"), 100, replace = TRUE)
)

fake.data$mrb <- fake.data$mrb*scaling_factor(fake.data$mrb)

andburch/bayesianfingerprintr documentation built on March 11, 2023, 8:53 p.m.