TestDimorph (version 0.5.7)

aov_ss: Sex Specific One way ANOVA From Summary statistics

Description

Calculates sex specific one way ANOVA from summary statistics.

Usage

aov_ss(
  x,
  Pop = 1,
  pairwise = TRUE,
  letters = FALSE,
  es_anova = "none",
  digits = 4,
  CI = 0.95
)

Value

Sex specific ANOVA tables and pairwise comparisons in tidy format.

Arguments

x

A data frame containing summary statistics.

Pop

Number of the column containing populations' names, Default: 1

pairwise

Logical; if TRUE runs multiple pairwise comparisons on different populations using Tukey-Kramer's post hoc test, Default: TRUE

letters

Logical; if TRUE returns letters for pairwise comparisons where significantly different populations are given different letters, Default: FALSE'

es_anova

Type of effect size either "f2" for f squared,"eta2" for eta squared, "omega2" for omega squared or "none", Default:"none".

digits

Number of significant digits, Default: 4

CI

confidence interval coverage takes value from 0 to 1, Default: 0.95.

Details

Data is entered as a data frame of summary statistics where the column containing population names is chosen by position (first by default), other columns of summary data should have specific names (case sensitive) similar to baboon.parms_df

References

#For the femur head diameter data

F. Curate, C. Umbelino, A. Perinha, C. Nogueira, A.M. Silva, E. Cunha, Sex determination from the femur in Portuguese populations with classical and machinelearning classifiers, J. Forensic Leg. Med. (2017) , doi:http://dx.doi.org/10.1016/j. jflm.2017.08.011.

O. Gulhan, Skeletal Sexing Standards of Human Remains in Turkey (PhD thesis), Cranfield University, 2017 [Dataset].

P. Timonov, A. Fasova, D. Radoinova, A.Alexandrov, D. Delev, A study of sexual dimorphism in the femur among contemporary Bulgarian population, Euras. J. Anthropol. 5 (2014) 46–53.

E.F. Kranioti, N. Vorniotakis, C. Galiatsou, M.Y. Iscan , M. Michalodimitrakis, Sex identification and software development using digital femoral head radiographs, Forensic Sci. Int. 189 (2009) 113.e1–7.

Examples

# Comparisons of femur head diameter in four populations
df <- data.frame(
  Pop = c("Turkish", "Bulgarian", "Greek", "Portuguese"),
  m = c(150.00, 82.00, 36.00, 34.00),
  f = c(150.00, 58.00, 34.00, 24.00),
  M.mu = c(49.39, 48.33, 46.99, 45.20),
  F.mu = c(42.91, 42.89, 42.44, 40.90),
  M.sdev = c(3.01, 2.53, 2.47, 2.00),
  F.sdev = c(2.90, 2.84, 2.26, 2.90)
)
aov_ss(x = df)