e0.trajectories.plot {bayesLife}R Documentation

Posterior Distribution of Trajectories of Life Expectancy

Description

The functions plot/tabulate the posterior distribution of trajectories of the life expectancy for a given country, or for all countries, including their median and given probability intervals.

Usage

e0.trajectories.plot(e0.pred, country, pi = c(80, 95), both.sexes = FALSE,
    nr.traj = NULL, adjusted.only = TRUE, typical.trajectory = FALSE, 
    xlim = NULL, ylim = NULL, type = "b", 
    xlab = "Year", ylab = "Life expectancy at birth", main = NULL, 
    lwd = c(2, 2, 2, 2, 1), col = c('black', 'green', 'red', 'red', '#00000020'),
    col2 = c('gray39', 'greenyellow', 'hotpink', 'hotpink', '#00000020'),
    show.legend = TRUE, add = FALSE, ...)
    
e0.trajectories.plot.all(e0.pred, 
    output.dir = file.path(getwd(), 'e0trajectories'),
    output.type = "png", verbose = FALSE, ...)
	
e0.trajectories.table(e0.pred, country, pi = c(80, 95), 
    both.sexes = FALSE, ...)

Arguments

e0.pred

Object of class bayesLife.prediction.

country

Name or numerical code of a country.

pi

Probability interval. It can be a single number or an array. If both.sexes is TRUE the default is 95.

both.sexes

Logical or the character “A”. If TRUE the distribution of both sexes is plotted into one graphics (or tabulated), provided the e0.pred is a female prediction and contains a joint male prediction as a result of running the function e0.jmale.predict. For “A” it plots/tabulates the distribution of the average life expectancy over both sexes.

nr.traj

Number of trajectories to be plotted. If NULL, all trajectories are plotted, otherwise they are thinned evenly. If both.sexes is TRUE the default is zero.

adjusted.only

Logical. By default, if the projection median is adjusted using e.g. e0.median.set, the function plots the adjusted median. If adjusted.only=FALSE the original (non-adjusted) median is plotted as well.

typical.trajectory

Logical. If TRUE one trajectory is shown for which the median absolute deviation from the median e0 projection is the median among all the trajectories.

xlim, ylim, type, xlab, ylab, main

Graphical parameters passed to the plot function.

lwd, col, col2

Vector of five elements giving the line width and color for: 1. observed data, 2. imputed missing data, 3. median, 4. quantiles, 5. trajectories. col2 is only used if both.sexes is TRUE. In such a case, col2 is used for female lines and col is used for male lines, which in this case defaults to c('black', 'green', 'darkgreen', 'darkgreen', 'gray').

show.legend

Logical controlling whether the legend should be drawn.

add

Logical controlling whether the trajectories should be plotted into a new graphic device (FALSE) or into an existing device (TRUE). One can use this argument to plot trajectories from multiple countries into one graphics.

...

Additional graphical parameters. In addition, for e0.trajectories.plot.all, ... contains any of the arguments of e0.trajectories.plot, and for e0.trajectories.table, ... contains the pi and country arguments.

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.

Details

e0.trajectories.plot plots posterior distribution of trajectories of life expectancy for a given country. e0.trajectories.table gives the same output in a tabular format.
e0.trajectories.plot.all creates a set of such graphs (one per country) that are stored in output.dir.

The median and given probability intervals are computed using all available trajectories. Thus, nr.traj does not influence those values - it is used only to control the number of trajectories plotted.

Author(s)

Hana Sevcikova

See Also

bayesLife.prediction

Examples

sim.dir <- file.path(find.package("bayesLife"), "ex-data", "bayesLife.output")
pred <- get.e0.prediction(sim.dir)
e0.trajectories.table(pred, country = "Japan", pi = c(80, 95))
e0.trajectories.plot(pred, country = "Japan", pi = c(80, 95))

# plot multiple countries into one plot
e0.trajectories.plot(pred, "Japan", col = rep("green", 5), nr.traj = 0,
         pi = c(80), show.legend = FALSE, main = "")
e0.trajectories.plot(pred, "United States of America", col = rep("blue", 5),  
        add = TRUE, nr.traj = 0, pi = c(80), show.legend = FALSE)
legend("topleft", legend = c("Japan", "USA"), col = c("green", "blue"), 
        lty = 1, bty = "n")

[Package bayesLife version 5.0-1 Index]