data_ugacovid

The function gives the daily COVID-19 new cases in Uganda 37
days.

Uganda COVID

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

Uganda COVID function

<dl><dt>data_ugacovid</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 daily COVID-19 new cases of Uganda of 37
days — Uganda COVID

<dl>

<dt>data_ugacovid</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>.

Uganda COVID: The data show the daily COVID-19 new cases of Uganda of 37 days

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples