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Round values in omics dataset from MultiDataSet object

Source: R/multidataset_utils.R
round_dataset.Rd

Rounds the values of a given omics dataset within a MultiDataSet object. Can also limit the range of possible values.

Usage

round_dataset(
  mo_data,
  dataset_name,
  ndecimals = 0,
  min_val = -Inf,
  max_val = Inf
)

Arguments

mo_data

A MultiDataSet::MultiDataSet object.

dataset_name

Character, the name of the dataset for which the matrix data should be changed.

ndecimals

Integer, the number of decimals to keep in the dataset. Default value is 0.

min_val

Numeric, the minimum value allowed in the dataset. Values below min_val will be set to min_val.

max_val

Numeric, the maximum value allowed in the dataset. Values above max_val will be set to max_val.

Value

A MultiDataSet object.

Examples

if (FALSE) { # \dontrun{
## Let's imagine that we imputed missing values in the genomics dataset from
## mo_data using NIPALS-PCA. The imputed values are continuous, but the
## dataset contains dosage values for a diploid organism (i.e. values can
## be 0, 1, 2). We'll round the imputed values and make sure they can't be
## negative or higher than 2.
round_dataset(mo_data, "snps", min_val = 0, max_val = 2)
} # }