predict_PCA_graph: Predict all files in a folder using PCA of a training...
In graeberlab/small.cell.project: small.cell.project

Predict all files in a folder using PCA of a training dataset, file names have to be of form name_.......txt

predict_PCA_graph(prediction_file, test_files_folder, anno.file,
  output_folder = "./", train_string = "", test_pattern = "",
  comps = 2, rotate = F, varimax = F, varimax.comp = 2,
  shape.palette = NULL)

`prediction_file`	file with training data features rows , genes columns, features are in column 1
`test_files_folder`	folder of test files
`anno.file`	Annotation file, first column is sample names, 2nd is annotation
`output_folder`	output folder
`train_string`	string of training data to insert in file name of predicted scores
`comps`	number of components to compute
`rotate`	do you want to rotate +/- signs, default=F.
`varimax.comp`	# of varimax comps , has to match # of comps
`shape.palette`	vector with numbers reprsenting shapes according to R plotting
`test_string`	string of data being tested to insert in file name of predicted scores
`varimax.it`	do you want to perform varimax , default varimax=F