R2MLwiN (version 0.8-6)

bang: Sub-sample from the 1989 Bangladesh Fertility Survey (see Huq & Cleveland, 1990)

Description

A subset of data from the 1989 Bangladesh Fertility Survey, consisting of 2867 women across 61 districts.

Format

A data frame with 2867 observations on the following 12 variables:

woman

Identifying code for each woman (level 1 unit).

district

Identifying code for each district (level 2 unit).

use

Contraceptive use status at time of survey; a factor with levels Not_using and Using.

use4

Contraceptive use status and method (a factor with levels: Sterilization, Modern_reversible_method, Traditional_method, Not_using_contraception).

lc

Number of living children at time of survey; a factor with ordered levels None, One_child, Two_children, Three_plus.

age

Age of woman at time of survey (in years), centred on sample mean of 30 years.

urban

Type of region of residence; levels are Rural and Urban.

educ

Woman's level of education (a factor with ordered levels None, Lower_primary, Upper_primary, Secondary_and_above.

hindu

Woman's religion; levels are Muslim and Hindu.

d_lit

Proportion of women in district who are literate.

d_pray

Proportion of Muslim women in district who pray every day (a measure of religiosity).

cons

Constant of ones.

Details

The bang dataset is one of the sample datasets provided with the multilevel-modelling software package MLwiN (Rasbash et al., 2009), and is a subset of data from the 1989 Bangladesh Fertility Survey (Huq and Cleland, 1990) used by Rasbash et al. (2012) as an example when fitting logistic models for binary and binomial responses. The full sample was analysed in Amin et al. (1997).

See Also

See mlmRev package for an alternative format of the same dataset, with fewer variables.

Examples

# NOT RUN {
data(bang, package = "R2MLwiN")

bang$use4 <- relevel(bang$use4, 4)

(mymodel <- runMLwiN(log(use4, cons) ~ 1 + lc + (1 | district), 
  D = "Unordered Multinomial", estoptions = list(EstM = 1, nonlinear = c(1, 2)), data = bang))

# }