normalize_data(
object,
method = c("svr", "total", "median", "mean", "pqn", "loess"),
keep_scale = TRUE,
optimization = TRUE,
pqn_reference = c("median", "mean"),
begin = 0.5,
end = 1,
step = 0.2,
multiple = 1,
threads = 4
)
Arguments
- object
A mass_dataset object.
- method
Normalization method, mean, median, total svr or loess,
default is svr. Please see the details.
- keep_scale
Remain scale or not. Default is TRUE.
- optimization
TRUE or not.
- pqn_reference
for pqn method.
- begin
0.5
- end
1
- step
0.2
- multiple
multiple
- threads
4
Value
A new mass_dataset object.
Examples
if (FALSE) {
data("object1", package = "demodata")
object1 = impute_mv(object1, method = "minimum")
object_mean = normalize_data(object = object1, method = "mean")
}