Half Sample Minimum Imputation

Impute missing values with half of the minimum value of the corresponding sample. This method assumes that missing values are MCAR, i.e. missing values are induced by an ion below the detection limit. Compared to impute_sample_min(), this method is more conservative.

Usage

impute_half_sample_min(x)

# S3 method for class 'glyexp_experiment'
impute_half_sample_min(x)

# S3 method for class 'matrix'
impute_half_sample_min(x)

# Default S3 method
impute_half_sample_min(x)

Arguments

x

Either a glyexp_experiment object or a matrix. If a matrix, rows should be variables and columns should be samples.

Value

Returns the same type as the input. If x is a glyexp_experiment, returns a glyexp_experiment with missing values imputed. If x is a matrix, returns a matrix with missing values imputed.