Winsorize

the low border, all values being lower than this will be replaced by this value. 
  The default is set to the 5%-quantile of x.

minval

the high border, all values being larger than this will be replaced by this value. 
  The default is set to the 95%-quantile of x.

maxval

numeric vector of probabilities with values in [0,1] as used in <code><a href="/link/quantile?package=DescTools&version=0.99.7" rd-options="" data-mini-rdoc="DescTools::quantile">quantile</a></code>.

probs

should NAs be omitted to calculate the quantiles? Note that NAs in x are preserved and left unchanged anyway.

na.rm

Clean data by means of winsorization, i.e., by shrinking
  outlying observations to the border of the main part of
  the data.

robust

univar

DescTools contains a bunch of basic statistic functions and convenience wrappers for efficiently describing data, creating specific plots, doing reports using MS Word, Excel or PowerPoint. The package's intention is to offer a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.

Andri Signorell

DescTools

Tools for descriptive statistics

Winsorize function

A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.

Winsorize: Winsorize

Description

Usage

Arguments

Value

Details

See Also

Examples