Helsel.Cohn.88.app.b.df

Made up multiply left-censored data. There are 9 observations out of a total of 18 
 that are reported as &lt;\(DL\), where \(DL\) denotes a detection limit. There are 
 2 distinct detection limits.

datasets

Graphical and statistical analyses of environmental data, with
focus on analyzing chemical concentrations and physical parameters, usually in
the context of mandated environmental monitoring. Major environmental
statistical methods found in the literature and regulatory guidance documents,
with extensive help that explains what these methods do, how to use them,
and where to find them in the literature. Numerous built-in data sets from
regulatory guidance documents and environmental statistics literature. Includes
scripts reproducing analyses presented in the book "EnvStats: An R Package for
Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4,
<https://www.springer.com/book/9781461484554>).

Alexander Kowarik

EnvStats

Package for Environmental Statistics, Including US EPA Guidance

Steven P. Millard

Helsel.Cohn.88.app.b.df function

A data frame with 18 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>Conc.orig</code></dt><dd>a character vector of original observations</dd>
 <dt><code>Conc</code></dt><dd>a numeric vector of observations with censored values coded to censoring levels</dd>
 <dt><code>Censored</code></dt><dd>a logical vector indicating which values are censored</dd>
 </dl>

Format

Example of Multiply Left-censored Data from Literature — Helsel.Cohn.88.app.b.df

A data frame with 18 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt><code>Conc.orig</code></dt><dd>a character vector of original observations</dd>
 <dt><code>Conc</code></dt><dd>a numeric vector of observations with censored values coded to censoring levels</dd>
 <dt><code>Censored</code></dt><dd>a logical vector indicating which values are censored</dd>
 </dl>

Helsel.Cohn.88.app.b.df: Example of Multiply Left-censored Data from Literature

Description

Usage

Arguments

Format