pacman: Pacman profiling and trimming
In plannapus/CONOP9companion: Tools for integrating biostratigraphic software CONOP9 in a statistical workflow
Description
Usage
Arguments
Value
Author(s)
References
Description
Flag and trim anomalous occurrences given a certain percentage on an abundance matrix
Usage
1
pacman(neptune, perc_top = 5, perc_bottom = 3)
Arguments
ab_mat
An abundance matrix with samples as rows and taxa as columns.
perc_top
Percentage to trim at the top of the ranges, default to 5%
perc_bottom
Percentage to trim at the bottom of the ranges, default to 3%
Value
The returned value is a list:
Trimming
Trimmed Matrix
Profiling
Vector: number of outliers in each sample.
Author(s)
Lazarus et al. 2012 for the algorithm, Johan Renaudie for the code.
References
Lazarus et al. 2012. Pacman profiling: a simple procedure to identify stratigraphic outliers in high-density deep-sea microfossil data. Paleobiology, 38(1): 858-875.
plannapus/CONOP9companion documentation built on March 18, 2021, 9:39 a.m.
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Description Usage Arguments Value Author(s) References
Description
Flag and trim anomalous occurrences given a certain percentage on an abundance matrix
Usage
1 | pacman(neptune, perc_top = 5, perc_bottom = 3)
|
Arguments
ab_mat |
An abundance matrix with samples as rows and taxa as columns. |
perc_top |
Percentage to trim at the top of the ranges, default to 5% |
perc_bottom |
Percentage to trim at the bottom of the ranges, default to 3% |
Value
The returned value is a list:
Trimming |
Trimmed Matrix |
Profiling |
Vector: number of outliers in each sample. |
Author(s)
Lazarus et al. 2012 for the algorithm, Johan Renaudie for the code.
References
Lazarus et al. 2012. Pacman profiling: a simple procedure to identify stratigraphic outliers in high-density deep-sea microfossil data. Paleobiology, 38(1): 858-875.
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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