evaluate_mean {experDesign} | R Documentation |
Evaluates the mean of the numeric values
Description
Looks for the mean of the numeric values
Usage
evaluate_mean(i, pheno)
Arguments
i |
List of indices |
pheno |
Data.frame with information about the samples |
Value
A matrix with the mean value for each column for each subset
See Also
Other functions to evaluate samples:
evaluate_entropy()
,
evaluate_independence()
,
evaluate_index()
,
evaluate_mad()
,
evaluate_na()
,
evaluate_orig()
,
evaluate_sd()
Other functions to evaluate numbers:
evaluate_mad()
,
evaluate_na()
,
evaluate_sd()
Examples
data(survey, package = "MASS")
index <- design(survey[, c("Sex", "Smoke", "Age")], size_subset = 50,
iterations = 10)
# Note that categorical columns will be omitted:
evaluate_mean(index, survey[, c("Sex", "Smoke", "Age")])
[Package experDesign version 0.4.0 Index]