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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