rand_peaks: A random series with peaks that are proportional to...
In wfinsinger/tapas: Trend And PeAkS analysis in paleo-ecological time series
rand_peaks R Documentation
A random series with peaks that are proportional to background CHAR
Description
A random series with charcoal peaks that are proportional to background
CHAR, i.e. peaks get bigger as background gets bigger, half way through the
record. The frequency of peaks does not change throughout this record. Thus,
peak-detection methods should identify no difference in peak frequency
between 1st and 2nd half of this record.
Usage
rand_peaks
Format
A data frame with 500 rows and 6 variables:
- cm_top
Sample top in centimeters
- cm_bot
Sample bottom in centimeters
- age_top
Age of sample Sample top
- age_bot
Age of sample Sample bottom
- vol
Sample volume in cm³
- char
Sample count
Details
This record is similar to that displayed in Figure 2 ("Scenario 2") in
Higuera et al (2010) Peak detection in sediment-charcoal records:
impacts of alternative data analysis methods on fire-history interpretations.
International Journal of Wildland Fire 19:996-1014.
Source
wfinsinger/tapas documentation built on Aug. 22, 2024, 4:28 a.m.
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| rand_peaks | R Documentation |
A random series with peaks that are proportional to background CHAR
Description
A random series with charcoal peaks that are proportional to background CHAR, i.e. peaks get bigger as background gets bigger, half way through the record. The frequency of peaks does not change throughout this record. Thus, peak-detection methods should identify no difference in peak frequency between 1st and 2nd half of this record.
Usage
rand_peaks
Format
A data frame with 500 rows and 6 variables:
- cm_top
Sample top in centimeters
- cm_bot
Sample bottom in centimeters
- age_top
Age of sample Sample top
- age_bot
Age of sample Sample bottom
- vol
Sample volume in cm³
- char
Sample count
Details
This record is similar to that displayed in Figure 2 ("Scenario 2") in Higuera et al (2010) Peak detection in sediment-charcoal records: impacts of alternative data analysis methods on fire-history interpretations. International Journal of Wildland Fire 19:996-1014.
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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