calc_HomogeneityTest

0th

Percentile

Apply a simple homogeneity test after Galbraith (2003)

A simple homogeneity test for De estimates

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).

Details

For details see Galbraith (2003).

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 (2018-01-21 17:22:38)

How to cite

Burow, C., Kreutzer, S. (2018). calc_HomogeneityTest(): Apply a simple homogeneity test after Galbraith (2003). Function version 0.3.0. In: Kreutzer, S., Burow, C., Dietze, M., Fuchs, M.C., Schmidt, C., Fischer, M., Friedrich, J. (2018). Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.8.6. https://CRAN.R-project.org/package=Luminescence

References

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

See Also

pchisq

Aliases
  • calc_HomogeneityTest
Examples
# NOT RUN {
## 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)


# }
Documentation reproduced from package Luminescence, version 0.8.6, License: GPL-3

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