data_Myanmar: The data represent the number of women of reproductive age in...
In dhsage: Reproductive Age Female Data of Various Demographic Health Surveys
Myanmar R Documentation
The data represent the number of women of reproductive age in Myanmar
Description
The function provides the number of women of reproductive age 15-49 in Myanmar based on the demographic health survey of 2016.
Usage
myan_2016
Arguments
myan_2016
A vector of (non-negative) count values.
Details
According to the 2016 Demographic Health Survey, the function gives the number of women in Myanmar who are between the ages of 15 and 49 and in the reproductive age range.
Value
myan_2016 gives the number of women of reproductive age 15-49 in Myanmar.
Author(s)
Muhammad Imran
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.
References
Ministry of Health and Sports (MoHS) and ICF. 2017. Myanmar Demographic and Health Survey 2015-16. Nay Pyi Taw, Myanmar, and Rockville, Maryland USA: Ministry of Health and Sports and ICF.
See Also
nep_2016, timor_2016, mal_2016, heaping
Examples
x <- myan_2016
# starting age 23 and ending age 62
heaping(x, 23, 62)
# starting age 15 and ending age 49
heaping(x, 15, 49)
dhsage documentation built on Oct. 5, 2023, 5:09 p.m.
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| Myanmar | R Documentation |
The data represent the number of women of reproductive age in Myanmar
Description
The function provides the number of women of reproductive age 15-49 in Myanmar based on the demographic health survey of 2016.
Usage
myan_2016
Arguments
myan_2016 |
A vector of (non-negative) count values. |
Details
According to the 2016 Demographic Health Survey, the function gives the number of women in Myanmar who are between the ages of 15 and 49 and in the reproductive age range.
Value
myan_2016 gives the number of women of reproductive age 15-49 in Myanmar.
Author(s)
Muhammad Imran
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.
References
Ministry of Health and Sports (MoHS) and ICF. 2017. Myanmar Demographic and Health Survey 2015-16. Nay Pyi Taw, Myanmar, and Rockville, Maryland USA: Ministry of Health and Sports and ICF.
See Also
nep_2016, timor_2016, mal_2016, heaping
Examples
x <- myan_2016
# starting age 23 and ending age 62
heaping(x, 23, 62)
# starting age 15 and ending age 49
heaping(x, 15, 49)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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