Measure some summary statistics of the whole cohort of samples
Value
A matrix with the mean, standard deviation, MAD values of the
numeric variables, the entropy of the categorical, and the amount of
NA
per variable.
See also
Other functions to evaluate samples:
evaluate_entropy()
,
evaluate_independence()
,
evaluate_index()
,
evaluate_mad()
,
evaluate_mean()
,
evaluate_na()
,
evaluate_sd()
Examples
data(survey, package = "MASS")
evaluate_orig(survey[, c("Sex", "Age", "Smoke")])
#> Warning: There might be some problems with the data use check_data().
#> Sex Age Smoke mix_cat
#> mean 0 20.374515 0.0000000 0.0000000
#> sd 0 6.474335 0.0000000 0.0000000
#> mad 0 1.605656 0.0000000 0.0000000
#> na 1 0.000000 1.0000000 0.0000000
#> entropy 1 0.000000 0.5143828 0.6268135
#> independence 0 0.000000 0.0000000 0.0000000