| BAT | R Documentation | 
Conducts tests of association between the loci in G and the
untransformed phenotype y, adjusting for the model matrix X.
BAT(y, G, X = NULL, test = "Score", simple = FALSE)
y | 
 Numeric phenotype vector.  | 
G | 
 Genotype matrix with observations as rows, SNPs as columns.  | 
X | 
 Model matrix of covariates and structure adjustments. Should include an intercept. Omit to perform marginal tests of association.  | 
test | 
 Either Score or Wald.  | 
simple | 
 Return the p-values only?  | 
If simple = TRUE, returns a vector of p-values, one for each column
of G. If simple = FALSE, returns a numeric matrix, including the
Wald or Score statistic, its standard error, the Z-score, and the p-value.
 Direct INT DINT
 Indirect INT IINT
 Omnibus INT OINT
set.seed(100)
# Design matrix
X <- cbind(1, stats::rnorm(1e3))
# Genotypes
G <- replicate(1e3, stats::rbinom(n = 1e3, size = 2, prob = 0.25))
storage.mode(G) <- "numeric"
# Phenotype
y <- as.numeric(X %*% c(1, 1)) + stats::rnorm(1e3)
# Association test
p <- BAT(y = y, G = G, X = X)
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