data_absen

The function gives the number of absences of individuals for studying absence proneness.

Absence proneness

A wide collection of univariate discrete data sets from various applied domains related to distribution theory. The functions allow quick, easy, and efficient access to 100 univariate discrete data sets. The data are related to different applied domains, including medical, reliability analysis, engineering, manufacturing, occupational safety, geological sciences, terrorism, psychology, agriculture, environmental sciences, road traffic accidents, demography, actuarial science, law, and justice. The documentation, along with associated references for further details and uses, is presented.

Muhammad Imran

DDPM

Data Sets for Discrete Probability Models

Christophe Chesneau

M.H Tahir

Farrukh Jamal

Absence proneness function

<dl><dt>data_absen</dt>
<dd>A vector of (non-negative integer) count values.</dd></dl>

Arguments

Muhammad Imran
R implementation and documentation: Muhammad Imran <a href="/link/imranshakoor84%40yahoo.com?package=DDPM&version=0.1.0" data-mini-rdoc="DDPM::imranshakoor84@yahoo.com">imranshakoor84@yahoo.com</a>.

Author

The data show the number of absences of individuals — Absence proneness

<dl>

<dt>data_absen</dt>
<dd>A vector of (non-negative integer) count values.</dd>

</dl>

Muhammad Imran
R implementation and documentation: Muhammad Imran <a href='mailto:imranshakoor84@yahoo.com'>imranshakoor84@yahoo.com</a>.

Absence proneness: The data show the number of absences of individuals

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples