plotPCs: Principal Component Analysis plot
In gehara/PipeMaster: Building and Simulating Coalescent models.
plotPCs R Documentation
Principal Component Analysis plot
Description
plot first 10 PCs of simulated data against observed.
Usage
plotPCs(models, index, observed, subsample)
Arguments
models
A data.frame object with combined summary statistics.
observed
Observed summary statistics. Should be the same as in models.
subsample
A number between 0-1 indicating a fraction of rows in the models object to be included in the PCA calculation.
data
A character vector indexing the models object.
Value
graphic
Author(s)
Marcelo Gehara
gehara/PipeMaster documentation built on April 19, 2024, 8:14 a.m.
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| plotPCs | R Documentation |
Principal Component Analysis plot
Description
plot first 10 PCs of simulated data against observed.
Usage
plotPCs(models, index, observed, subsample)
Arguments
models |
A data.frame object with combined summary statistics. |
observed |
Observed summary statistics. Should be the same as in models. |
subsample |
A number between 0-1 indicating a fraction of rows in the models object to be included in the PCA calculation. |
data |
A character vector indexing the models object. |
Value
graphic
Author(s)
Marcelo Gehara
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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