plot_pca: Plot PCA

In Shians/NanoMethViz: Visualise methylation data from Oxford Nanopore sequencing

Plot PCA

Description

Plot multi-dimensional scaling plot using algorithm of BiocSingular::runPCA(). It is recommended this be done with the log-methylation-ratio matrix generated by bsseq_to_log_methy_ratio().

Usage

plot_pca(
  x,
  plot_dims = c(1, 2),
  labels = colnames(x),
  groups = NULL,
  legend_name = "group"
)

Arguments

x	the log-methylation-ratio matrix.
plot_dims	the numeric vector of the two dimensions to be plotted.
labels	the character vector of labels for data points. By default uses column names of x, set to NULL to plot points.
groups	the character vector of groups the data points will be coloured by.
legend_name	the name for the legend.

Value

ggplot object of the MDS plot.

Examples

nmr <- load_example_nanomethresult()
bss <- methy_to_bsseq(nmr)
lmr <- bsseq_to_log_methy_ratio(bss)
plot_pca(lmr)

Shians/NanoMethViz documentation built on Oct. 11, 2024, 7:17 a.m.