tune_Data

0th

Percentile

Tune data for experimental purpose

The error can be reduced and sample size increased for specific purpose.

Keywords
manip
Usage
tune_Data(data, decrease.error = 0, increase.data = 0)
Arguments
data

data.frame (required): input values, structure: data (values[,1]) and data error (values [,2]) are required

decrease.error

numeric: factor by which the error is decreased, ranges between 0 and 1.

increase.data

numeric: factor by which the error is decreased, ranges between 0 and inf.

Value

Returns a data.frame with tuned values.

Note

You should not use this function to improve your poor data set!

Function version

0.5.0 (2018-01-21 17:22:38)

How to cite

Dietze, M. (2018). tune_Data(): Tune data for experimental purpose. Function version 0.5.0. 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

Aliases
  • tune_Data
Examples
# NOT RUN {
## load example data set
data(ExampleData.DeValues, envir = environment())
x <- ExampleData.DeValues$CA1

## plot original data
plot_AbanicoPlot(data = x,
                 summary = c("n", "mean"))

## decrease error by 10 %
plot_AbanicoPlot(data = tune_Data(x, decrease.error = 0.1),
                 summary = c("n", "mean"))

## increase sample size by 200 %
#plot_AbanicoPlot(data = tune_Data(x, increase.data = 2) ,
#                summary = c("n", "mean"))

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

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