pca_batch: PCA Plot with batch information
In jankinsan/BatchEC: Evaluates and corrects batch effects in gene expression data

Plots the first two principal components for all the samples of a gene expression dataset along with the batch information

pca_batch(
  exprData,
  batch.info,
  batch,
  NameString = "",
  cond = "",
  when = "",
  return.plot = FALSE
)

`exprData`	A matrix containing gene expression data. Row names should be samples and column names should be genes.
`batch.info`	A data frame containing the samples names and details of the batch they belong to.
`batch`	Title of the batch the data is being corrected for.
`NameString`	string that will be appear in all output filenames. Default="" (empty string)
`cond`	The column name in the batch.info data which denotes biological condition, if there are any to be considered for PCA plots, i.e. do you want different shapes for cancer and normal samples? If you don't need the conditions or have the dataset with one kind of samples, no need to add this argument.
`when`	String indicating for which dataset is the PCA plot being created
`return.plot`	Should the plot be returned as an object to the environment? If FALSE, plot is saved to a pdf file, if TRUE, plot is returned to the environment. Default = FALSE @import grDevices @import stats @import graphics