plotOrd: Plot of either PCA or MDS coordinates for the distances of...

In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing

Description

This function plots the PCA / MDS coordinates for the "n" features of interest. Potentially uncovering batch effects or feature relationships.

Usage

plotOrd(
  obj,
  tran = TRUE,
  comp = 1:2,
  norm = TRUE,
  log = TRUE,
  usePCA = TRUE,
  useDist = FALSE,
  distfun = stats::dist,
  dist.method = "euclidian",
  n = NULL,
  ...
)

Arguments

obj	A MRexperiment object or count matrix.
tran	Transpose the matrix.
comp	Which components to display
norm	Whether or not to normalize the counts - if MRexperiment object.
log	Whether or not to log2 the counts - if MRexperiment object.
usePCA	TRUE/FALSE whether to use PCA or MDS coordinates (TRUE is PCA).
useDist	TRUE/FALSE whether to calculate distances.
distfun	Distance function, default is stats::dist
dist.method	If useDist==TRUE, what method to calculate distances.
n	Number of features to make use of in calculating your distances.
...	Additional plot arguments.

Value

coordinates

See Also

cumNormMat

Examples

data(mouseData)
cl = pData(mouseData)[,3]
plotOrd(mouseData,tran=TRUE,useDist=TRUE,pch=21,bg=factor(cl),usePCA=FALSE)

metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.