userfriendlyscience (version 0.5-2)

descr: descr (or descriptives)

Description

This function provides a number of descriptives about your data, similar to what SPSS's DESCRIPTIVES (often called with DESCR) does.

Usage

descr(x, digits = 4, errorOnFactor = FALSE, include = c("central tendency", "spread", "range", "distribution shape", "sample size"), 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.

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.

Value

A list of dataframes with the requested values.

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 p-value can be obtained using dip.test; also see Table 1 of Hartigan & Hartigan (1985) for an indication as to critical values).

References

Hartigan, J. A.; Hartigan, P. M. The Dip Test of Unimodality. Ann. Statist. 13 (1985), no. 1, 70--84. doi:10.1214/aos/1176346577. http://projecteuclid.org/euclid.aos/1176346577.

See Also

summary, describe

Examples

descr(mtcars$mpg);

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