evaluate_na: Evaluate the dispersion of NAs

In llrs/experDesign: Design Experiments for Batches

Evaluate the dispersion of NAs

Description

Looks how are NA distributed in each subset

Usage

evaluate_na(i, pheno)

Arguments

i	list of numeric indices of the data.frame
pheno	Data.frame

Value

The optimum value to reduce

See Also

Other functions to evaluate samples: evaluate_entropy(), evaluate_independence(), evaluate_index(), evaluate_mad(), evaluate_mean(), evaluate_orig(), evaluate_sd()

Other functions to evaluate categories: evaluate_entropy(), evaluate_independence()

Other functions to evaluate numbers: evaluate_mad(), evaluate_mean(), evaluate_sd()

Examples

samples <- 10
m <- matrix(rnorm(samples), nrow = samples)
m[sample(seq_len(samples), size = 5), ] <- NA # Some NA
i <- create_subset(samples, 3, 4) # random subsets
evaluate_na(i, m)

llrs/experDesign documentation built on Dec. 24, 2024, 8:22 a.m.