dimred_pca: Dimensionality reduction through PCA

In hiplot/animalcules: Interactive microbiome analysis toolkit

Description

Dimensionality reduction through PCA

Usage

dimred_pca(
  MAE,
  tax_level,
  color,
  shape = NULL,
  pcx = 1,
  pcy = 2,
  pcz = NULL,
  datatype = c("logcpm", "relabu", "counts")
)

Arguments

MAE	A multi-assay experiment object
tax_level	The taxon level used for organisms
color	A condition to color data points by e.g. "AGE"
shape	A condition to shape data points by e.g. "SEX"
pcx	Principal component on the x-axis e.g. 1
pcy	Principal component on the y-axis e.g. 2
pcz	Principal component on the z-axis e.g. 3
datatype	Datatype to use e.g. c("logcpm", "relabu", "counts")

Value

A list with a plotly object and summary table

Examples

data_dir = system.file("extdata/MAE.rds", package = "animalcules")
toy_data <- readRDS(data_dir)
result <- dimred_pca(toy_data,
                     tax_level="genus",
                     color="AGE",
                     shape="DISEASE",
                     pcx=1,
                     pcy=2,
                     datatype="logcpm")
result$plot
result$table

hiplot/animalcules documentation built on March 1, 2021, 12:04 a.m.