monocle_sparse_prcomp_irlba: Sparse prcomp irlba implemented in Monocle 3 alpha
In jacobheng/cellwrangler: Supplemental toolkit for single-cell RNAseq analysis

Description Usage Arguments

Efficient computation of a truncated principal components analysis of a given data matrix using an implicitly restarted Lanczos method from the irlba package.The augmented implicitly restarted Lanczos bidiagonalization algorithm (IRLBA) finds a few approximate largest (or, optionally, smallest) singular values and corresponding singular vectors of a sparse or dense matrix using a method of Baglama and Reichel. It is a fast and memory-efficient way to compute a partial SVD.

1 2	monocle_sparse_prcomp_irlba(x, n = 3, retx = TRUE, center = TRUE, scale. = FALSE, ...)

`x`	a numeric or complex matrix (or data frame) which provides the data for the principal components analysis.
`n`	integer number of principal component vectors to return, must be less than `min(dim(x))`.
`retx`	a logical value indicating whether the rotated variables should be returned.
`center`	a logical value indicating whether the variables should be shifted to be zero centered. Alternately, a centering vector of length equal the number of columns of `x` can be supplied.
`scale.`	a logical value indicating whether the variables should be scaled to have unit variance before the analysis takes place. The default is `FALSE` for consistency with S, but scaling is often advisable. Alternatively, a vector of length equal the number of columns of `x` can be supplied. The value of `scale` determines how column scaling is performed (after centering). If `scale` is a numeric vector with length equal to the number of columns of `x`, then each column of `x` is divided by the corresponding value from `scale`. If `scale` is `TRUE` then scaling is done by dividing the (centered) columns of `x` by their standard deviations if `center=TRUE`, and the root mean square otherwise. If `scale` is `FALSE`, no scaling is done. See `scale` for more details.
`...`	additional arguments passed to `irlba`.