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 

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).

Steven Millard

EnvStats

Package for Environmental Statistics, Including US EPA Guidance

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

A data frame with 18 observations on the following 3 variables.
  <dl>
    <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

Helsel, D.R., and T.A. Cohn. (1988). Estimation of Descriptive Statistics for Multiply Censored Water Quality Data. 
  <em>Water Resources Research</em> <b>24</b>(12), 1997--2004, Appendix B.

Source


  Made up multiply left-censored data.  There are 9 observations out of a total of 18 
  that are reported as <$DL$, where $DL$ denotes a detection limit.  There are 
  2 distinct detection limits.


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

Description

Usage

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Source