TestDimorph (version 0.4.0)

extract_sum: Summary Statistics Extraction

Description

Extract summary data needed for other functions from raw data.

Usage

extract_sum(x, Sex = 1, Pop = 2, firstX = 3, test = 1, run = TRUE, ...)

Arguments

x

Data frame of raw data.

Sex

Number of the column containing sex 'M' for male and 'F' for female, Default: 1

Pop

Number of the column containing populations' names, Default: 2

firstX

Number of column containing measured parameters (First of multiple in case of multivariate analysis), Default: 3

test

`1` for Greene t test t_greene, `2` for univariate, `3` for sex specific ANOVA aov_ss, `4` for multivariate, and `5` for van_vark, Default: 1

run

Logical; if TRUE runs the corresponding test after data extraction, Default:TRUE

...

Additional arguments that could be passed to the test of choice

Value

Input for other functions.

Details

Raw data is entered in a wide format data frame similar to Howells data set. The first two columns contain sex `Sex` (`M` for male and `F` for female) (Default: `1`) and populations' names `Pop` (Default:`2`). Starting from `firstX` column (Default: `3`), measured parameters are entered each in a separate column.

Examples

# NOT RUN {
# for multivariate test
library(TestDimorph)
extract_sum(Howells, test = 4)
# for univariate test on a specific parameter
library(TestDimorph)
extract_sum(Howells, test = 2, firstX = 4)
# }