preprocess {BGData} | R Documentation |
A faster version of scale
with a similar interface that
also allows for imputation. The main difference is that this version scales
by the standard deviation regardless of whether centering is enabled or
not. If centering is enabled, missing values are imputed by 0, otherwise by
the mean of the column that contains the value.
preprocess(X, center = FALSE, scale = FALSE, impute = FALSE,
nCores = getOption("mc.cores", 2L))
X |
A numeric matrix. |
center |
Either a logical value or numeric vector of length equal to the number
of columns of |
scale |
Either a logical value or numeric vector of length equal to the number
of columns of |
impute |
Indicates whether missing values should be imputed. |
nCores |
The number of cores (passed to |
The centered, scaled, and imputed matrix.
scale
, which this function tries to improve upon.
# Load example data
bg <- BGData:::loadExample()
# Center and scale genotypes
W <- preprocess(as.matrix(geno(bg)), center = TRUE, scale = TRUE)