descr
This function provides a number of descriptives about your data, similar to what SPSS's DESCRIPTIVES (often called with DESCR) does.
 Keywords
 univariate
Usage
descr(x, digits = 4, errorOnFactor = FALSE,
include = c("central tendency", "spread", "range",
"distribution shape", "sample size"),
maxModes = 1,
t = FALSE, conf.level=.95,
quantileType = 2);
Arguments
 x
 The vector for which to return descriptives.
 digits
 The number of digits to round the results to when showing them.
 errorOnFactor
 Whether to show an error when the vector is a factor, or just show the frequencies instead.
 include
 Which elements to include when showing the results.
 maxModes
 Maximum number of modes to display: displays "multi" if more than this number of modes if found.
 t
 Whether to transpose the dataframes when printing them to the screen (this is easier for users relying on screen readers).
 conf.level
 Confidence of confidence interval around the mean in the central tendency measures.
 quantileType

The type of quantiles to be used to compute the interquartile range (IQR). See
quantile
for more information.
Details
Note that R (of course) has many similar functions, such as 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 pvalue can be obtained using dip.test
; also see Table 1 of Hartigan & Hartigan (1985) for an indication as to critical values).
Value
A list of dataframes with the requested values.
References
Hartigan, J. A.; Hartigan, P. M. The Dip Test of Unimodality. Ann. Statist. 13 (1985), no. 1, 7084. doi:10.1214/aos/1176346577. http://projecteuclid.org/euclid.aos/1176346577.
See Also
Examples
descr(mtcars$mpg);