Projecting PCA using individuals from one dataset to other individuals from the same dataset.
bed_projectSelfPCA( obj.svd, obj.bed, ind.row, ind.col = attr(obj.svd, "subset"), ncores = 1 )
scale. Typically the an
object of type "big_SVD".
Object of type bed, which is the mapping of the bed file of the data containing both the individuals that were used to compute the PCA and the other individuals to be projected.
Rows (individuals) to be projected.
Number of cores used. Default doesn't use parallelism. You may use nb_cores.
A list of 3 elements:
$obj.svd.ref: big_SVD object computed from reference data.
$simple_proj: simple projection of new data into space of reference PCA.
$OADP_proj: Online Augmentation, Decomposition, and Procrustes (OADP)
projection of new data into space of reference PCA.