plotInteractivePCA: Returns an interactive PCA plot.

In loalon/rBiobox: Bioinformatics functions

Description

Returns an interactive PCA plot.

Usage

plotInteractivePCA(
  data,
  meta,
  group,
  model = c("2D", "3D"),
  title = "",
  colors = c(),
  inverse = c(FALSE, FALSE, FALSE)
)

Arguments

data	numerical matrix or data frame, raw, normalized or transformed. Samples must be in rows and variables in columns
meta	data frame containing meta data
group	meta data columns to be represented in the plot
model	plots a "2D" (default) or "3D" version
title	plot's title
colors	character vector of custom colors
inverse	boolean vector to decide which component plot in reverse, the order is PC1, PC2, PC3

Value

plotly object containing plot data

Examples

Get the result and store it in an object
x <- plotInteractivePCA(combinedData, metaDF, c('Treatment', 'Week'), title="Treatment-week interaction")

direct plot with custom color
plotInteractivePCA(combinedData, metaDF, c('Treatment'), title="Treatment", colors = c("#F8766D", "#00BFC4", "#56B4E9"))

reverse PC1
plotInteractivePCA(combinedData, metaDF, c('Treatment', 'Week'), title="Treatment-week interaction", inverse = c(T,F,F))

3D version
plotInteractivePCA(combinedData, metaDF, c('Treatment', 'Week'), title="Treatment-week interaction", inverse = c(T,F,F), model="3D")

loalon/rBiobox documentation built on Dec. 21, 2021, 11:44 a.m.