CutQ

a numeric vector which is to be converted to a factor by cutting.

the breaks for the quantiles, default is quartiles.

quant

labels for the levels of the resulting category. By default, labels are defined as <code>Q1</code>, <code>Q2</code>, <code>Q3</code> and <code>Q4</code>. The parameter ist passed to <code><a href="/link/cut?package=DescTools&version=0.99.6" rd-options="" data-mini-rdoc="DescTools::cut">cut</a></code>, so if labels = FALSE, s

labels

logical, indicating whether NA values should be stripped before the computation of the quantile proceeds. Defaults to FALSE. NAs are reported as NA afterwards.

na.rm

Divides the range of x into some quantiles and codes the values in x according to which interval they fall.

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

CutQ function

Build Quantile Groups for a Numeric Variable

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.

CutQ: Build Quantile Groups for a Numeric Variable

Description

Usage

Arguments

Value

See Also

Examples