evaluate_na {experDesign} | R Documentation |
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)
[Package experDesign version 0.4.0 Index]