Description Usage Arguments Value Examples
View source: R/FastLORS_Functions.R
InitialEst
InitialEst
is a function to build an initial estimate for B
1 | InitialEst(Y, X, lambda = NULL)
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Y |
gene expression matrix |
X |
matrix of SNPs |
lambda |
tuning parameter |
B An initial estimate of the coefficient matrix
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ## Example
## Generate some data
n <- 50
p <- 200
q <- 100
k <- 10
set.seed(123)
X <- matrix(rbinom(n*p,1,0.5),n,p)
L <- matrix(rnorm(n*k),n,k) %*% t(matrix(rnorm(q*k),q,k))
B <- matrix(0, ncol(X), ncol(L))
activeSNPs <- sort(sample(c(1:nrow(B)), 20))
for(i in 1:length(activeSNPs)){
genes_influenced <- sort(sample(c(1:ncol(B)),5))
B[activeSNPs[i], genes_influenced] <- 2
}
E <- matrix(rnorm(n*q),n,q)
Y <- X %*% B + L + E
Init_est <- InitialEst(Y,X)
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