#' One Locus Scan for Linear Model.
#'
#' @param y phenotype vector
#' @param X scaled genotype matrix
#' @param map map of markers
#' @param covar matrix with covariates
#' @return R/rql scanone object with LOD scores
#' @export
scan.lm <- function(y, X, map, covar = NULL) {
checkXy(X, y, map, covar)
output <- scanoneTemplate(map)
n <- nrow(X) # number of animals
Z <- cbind(rep(1, n), covar) # covariates and intercept
for (i in 1:ncol(X)) {
rss0 <- sum(lsfit(y=y, x=Z, intercept=FALSE)$residuals^2)
rss1 <- sum(lsfit(y=y, x=cbind(Z, X[,i]), intercept=FALSE)$residuals^2)
output$lod[i] <- n/2 * (log10(rss0) - log10(rss1))
}
output
}
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