COVID-19 Fatality {DataSetsUni} | R Documentation |
The daily fatality confirmed cases attributable to COVID-19
Description
The function allows to provide the daily fatality confirmed cases attributable to COVID-19. The data consists of 89 observed values, with 18.72 reported deaths on average every day.
Usage
data_COVIDfat
Arguments
data_COVIDfat |
A vector of (non-negative integer) values. |
Details
The data revealed the daily fatality confirmed cases attributable to COVID-19. The data consists of 89 observed values, with 18.72 reported deaths on average every day. Recently, the data set is used by Alyami et al.(2022) and fitted the Topp–Leone modified Weibull model.
Value
data_COVIDfat gives the daily fatality confirmed cases attributable to COVID-19.
Author(s)
Muhammad Imran.
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.
References
Alyami, S. A., Elbatal, I., Alotaibi, N., Almetwally, E. M., Okasha, H. M., & Elgarhy, M. (2022). Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data. Applied Sciences, 12(20), 10431.
Abdullah Alahmadi, A., Alqawba, M., Almutiry, W., Shawki, A. W., Alrajhi, S., Al-Marzouki, S., & Elgarhy, M. (2022). A new version of weighted Weibull distribution: Modelling to COVID-19 data. Discrete Dynamics in Nature and Society, 2022.
See Also
data_COVIDDeath, data_COVID19MH, data_COVIDmor
Examples
x<-data_COVIDfat
summary(x)