plot_pcoa: Plot PCoA
In mrc-ide/MIPanalyzer: Filtering and analysis of MIP data
View source: R/analysis_clustering.R
plot_pcoa R Documentation
Plot PCoA
Description
Plots either the first 2 or 3 vectors of PCoA.
Usage
plot_pcoa(pcoa, num_components = 2, col = NULL, col_palette = NULL)
Arguments
pcoa
object of class "pcoa", as produced by pcoa_wsaf() function.
num_components
numeric for number of components used. Default = 2.
col
vector by which samples are coloured.
col_palette
vector of colours for each group.
mrc-ide/MIPanalyzer documentation built on Jan. 17, 2024, 7:16 p.m.
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View source: R/analysis_clustering.R
| plot_pcoa | R Documentation |
Plot PCoA
Description
Plots either the first 2 or 3 vectors of PCoA.
Usage
plot_pcoa(pcoa, num_components = 2, col = NULL, col_palette = NULL)
Arguments
pcoa |
object of class "pcoa", as produced by |
num_components |
numeric for number of components used. Default = 2. |
col |
vector by which samples are coloured. |
col_palette |
vector of colours for each group. |
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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