calc_HomogeneityTest: Apply a simple homogeneity test after Galbraith (2003)

In R-Lum/Luminescence: Comprehensive Luminescence Dating Data Analysis

Apply a simple homogeneity test after Galbraith (2003)

Description

A simple homogeneity test for De estimates For details see Galbraith (2003).

Usage

calc_HomogeneityTest(data, log = TRUE, ...)

Arguments

data	RLum.Results or data.frame (required): for data.frame: two columns with De (data[,1]) and De error (values[,2])
log	logical (with default): perform the homogeneity test with (un-)logged data
...	further arguments (for internal compatibility only).

Value

Returns a terminal output. In addition an RLum.Results-object is returned containing the following elements:

summary	data.frame summary of all relevant model results.
data	data.frame original input data
args	list used arguments
call	call the function call

The output should be accessed using the function get_RLum.

Function version

0.3.0

Author(s)

Christoph Burow, University of Cologne (Germany), Sebastian Kreutzer, IRAMAT-CRP2A, Université Bordeaux Montaigne (France)

References

Galbraith, R.F., 2003. A simple homogeneity test for estimates of dose obtained using OSL. Ancient TL 21, 75-77.

See Also

stats::pchisq

Examples

## load example data
data(ExampleData.DeValues, envir = environment())

## apply the homogeneity test
calc_HomogeneityTest(ExampleData.DeValues$BT998)

## using the data presented by Galbraith (2003)
df <-
 data.frame(
   x = c(30.1, 53.8, 54.3, 29.0, 47.6, 44.2, 43.1),
   y = c(4.8, 7.1, 6.8, 4.3, 5.2, 5.9, 3.0))

calc_HomogeneityTest(df)

R-Lum/Luminescence documentation built on March 1, 2025, 12:43 a.m.