e0.gap.plot: Posterior Distribution of Gaps in Female and Male Life Expectancy

Description

The functions plot the posterior distribution of the gaps between female and male life expectancy, modeled and predicted using a model described in Lalic (2011) and Raftery, Lalic & Gerland (2014). This can be done for one country (e0.gap.plot) or for all countries (e0.gap.plot.all).

Usage

e0.gap.plot(e0.pred, country, e0.pred2 = NULL, pi = c(80, 95), 
    nr.traj = 0, xlim = NULL, ylim = NULL, type = "b", 
    xlab = "Year", ylab = "Gap in life expectancy", main = NULL, 
    show.legend = TRUE, ...)
    
e0.gap.plot.all(e0.pred, output.dir = file.path(getwd(), "e0gaps"),
    output.type = "png", verbose = FALSE, ...)

Arguments

e0.pred: Object of class bayesLife.prediction containing female projections. If e0.pred2 is not given, then this object must contain the ‘joint.male’ component, generated using the e0.jmale.predict function.
country: Name or numerical code of a country. It can also be given as ISO-2 or ISO-3 characters.
e0.pred2: Object of class bayesLife.prediction containing male projections. By default the male projections is taken from the joint female-male projections in e0.pred, see above.
pi: Probability interval. It can be a single number or an array.
nr.traj: Number of trajectories to be plotted.
xlim, ylim, type, xlab, ylab, main: Graphical parameters passed to the plot function.
show.legend: Logical controlling whether the legend should be drawn.
output.dir: Directory into which resulting graphs are stored.
output.type: Type of the resulting files. It can be “png”, “pdf”, “jpeg”, “bmp”, “tiff”, or “postscript”.
verbose: Logical switching log messages on and off.
...: Additional graphical parameters. In addition, for e0.gap.plot.all, ... contains any of the arguments of e0.gap.plot.

Author

Hana Sevcikova

References

Lalic, N. (2011). Master's thesis at the Department of Statistics, University of Washington.

A. E. Raftery, N. Lalic, P. Gerland (2014). Joint Probabilistic Projection of Female and Male Life Expectancy. Demographic Research, 30:795-822.

Examples

Run this code

# See example for e0.jmale.predict