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Create a Random Matrix: Binary
RandMatBinary(p, d, sparsity, prob, catMap = NULL, ...)
the number of dimensions.
the number of desired columns in the projection matrix.
a real number in \((0,1)\) that specifies the distribution of non-zero elements in the random matrix.
a probability \(\in (0,1)\) used for sampling from \({-1,1}\) where prob = 0 will only sample -1 and prob = 1 will only sample 1.
prob = 0
prob = 1
a list specifying specifies which one-of-K encoded columns in X correspond to the same categorical feature.
used to handle superfluous arguments passed in using paramList.
A random matrix to use in running RerF.
RerF
# NOT RUN { p <- 8 d <- 3 sparsity <- 0.25 prob <- 0.5 set.seed(4) (a <- RandMatBinary(p, d, sparsity, prob)) # }
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