lol.project.rp: Random Projections (RP)
In neurodata/lol: Linear Optimal Low-Rank Projection

Description Usage Arguments Value Details Author(s) Examples

A function for implementing gaussian random projections (rp).

1	lol.project.rp(X, r, scale = TRUE, ...)

`X`	`[n, d]` the data with `n` samples in `d` dimensions.
`r`	the rank of the projection. Note that `r >= K`, and `r < d`.
`scale`	whether to scale the random projection by the sqrt(1/d). Defaults to `TRUE`.
`...`	trailing args.

A list containing the following:

`A`	`[d, r]` the projection matrix from `d` to `r` dimensions.
`Xr`	`[n, r]` the `n` data points in reduced dimensionality `r`.

For more details see the help vignette: vignette("rp", package = "lolR")

Eric Bridgeford

library(lolR)
data <- lol.sims.rtrunk(n=200, d=30)  # 200 examples of 30 dimensions
X <- data$X; Y <- data$Y
model <- lol.project.rp(X=X, r=5)  # use lol to project into 5 dimensions