evaluate_index {experDesign} | R Documentation |
Evaluates a data.frame
Description
Measures several indicators per group
Usage
evaluate_index(i, pheno)
Arguments
i |
Index |
pheno |
Data.frame with information about the samples |
Value
An array of three dimensions with the mean, standard deviation
(sd()
), and median absolute deviation (mad()
) of the numeric variables, the
entropy of the categorical and the number of NA
by each subgroup.
See Also
If you have already an index you can use use_index()
.
Other functions to evaluate samples:
evaluate_entropy()
,
evaluate_independence()
,
evaluate_mad()
,
evaluate_mean()
,
evaluate_na()
,
evaluate_orig()
,
evaluate_sd()
Examples
data(survey, package = "MASS")
index <- create_subset(nrow(survey), 50, 5)
ev_index <- evaluate_index(index, survey[, c("Sex", "Smoke")])
ev_index["entropy", , ]
[Package experDesign version 0.4.0 Index]