Measures several indicators per group
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", , ]
#> subgroups
#> variables SubSet1 SubSet2 SubSet3 SubSet4 SubSet5
#> Sex 0.9544340 0.9886994 1.0000000 0.9601187 0.9918208
#> Smoke 0.5993098 0.4332441 0.5352755 0.4178629 0.4897318