sensitivity.boxplots: Make boxplots based on multiple simulations
In akeyel/multirich: Calculate Multivariate Richness via UTC and sUTC
Description
Takes the output results from multiple simulation iterations and plots boxplots displaying the results
Usage
1
sensitivity.boxplots(results.mat, traitspaces, n.recs)
Arguments
results.mat
An input matrix with ncol equal to the number of elements in traitspaces,
and a given row containing the values for each trait space for that simulation run.
traitspaces
A vector identifying the traitspaces at which the simulation analysis was carried out
n.recs
The number of records in the original matrix.
This is the point where if every record were unique, the entire traitspace would be full.
akeyel/multirich documentation built on May 17, 2021, 1:23 a.m.
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Description
Takes the output results from multiple simulation iterations and plots boxplots displaying the results
Usage
1 | sensitivity.boxplots(results.mat, traitspaces, n.recs)
|
Arguments
results.mat |
An input matrix with ncol equal to the number of elements in traitspaces, and a given row containing the values for each trait space for that simulation run. |
traitspaces |
A vector identifying the traitspaces at which the simulation analysis was carried out |
n.recs |
The number of records in the original matrix. This is the point where if every record were unique, the entire traitspace would be full. |
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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