PI_quickTableItermax: Summarize the number of iterations needed across populations
In IntiQuan/populationIsoboles: Calculate isoboles efficiently
Description
Usage
Arguments
Value
Examples
View source: R/Isobole_plotting.R
Description
Summarize the number of iterations needed across populations
Usage
1
PI_quickTableItermax(.inputFolder)
Arguments
.inputFolder
path/to/Simulations
Value
data.table(Iterations = number of iterations, N = how many populations took that many iterations)
Examples
1
2
3
.inputFolder <- system.file("examples/Example-1/Outputs/Simulations",
package = "populationIsoboles")
populationIsoboles:::PI_quickTableItermax(.inputFolder)
IntiQuan/populationIsoboles documentation built on Jan. 13, 2022, 8:29 p.m.
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Description Usage Arguments Value Examples
View source: R/Isobole_plotting.R
Description
Summarize the number of iterations needed across populations
Usage
1 | PI_quickTableItermax(.inputFolder)
|
Arguments
.inputFolder |
path/to/Simulations |
Value
data.table(Iterations = number of iterations, N = how many populations took that many iterations)
Examples
1 2 3 | .inputFolder <- system.file("examples/Example-1/Outputs/Simulations",
package = "populationIsoboles")
populationIsoboles:::PI_quickTableItermax(.inputFolder)
|
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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