descr(x, digits = 4, errorOnFactor = FALSE, include = c("central tendency", "spread", "range", "distribution shape", "sample size"), t = FALSE, conf.level=.95);summary,
describe in the excellent psych package.The Hartigans' Dip Test may be unfamiliar to users; it is a measure of uni- vs. multidimensionality, computed by dip.test from the dip.test package. Depending on the sample size, values over .025 can be seen as mildly indicative of multimodality, while values over .05 probably warrant closer inspection (the p-value can be obtained using dip.test; also see Table 1 of Hartigan & Hartigan (1985) for an indication as to critical values).
summary, describe