qlifetable (version 0.0.2-6)

plot.SAI: Graphical representation of a SAI object.

Description

Plot method for a SAI object. This is a plot method for objects obtained using the compute_SAI function or the SAI_shortcut_1 function.

Usage

# S3 method for SAI
plot(
  x,
  ...,
  min.age = 1,
  max.age = 100,
  decimal.digits = 1,
  color.main = "black",
  color.lm = "blue",
  color.hline = "red",
  size.labels.y = 8,
  axis.age.ticks,
  limits.joint,
  breaks.joint,
  limits.ageing,
  breaks.ageing,
  limits.seasonal,
  breaks.seasonal,
  name.labels.ageing = c("Q1", "Q2", "Q3", "Q4"),
  name.labels.season = c("Winter", "Spring", "Summer", "Autumn"),
  title.season = "Seasonal effects",
  title.ageing = "Ageing effects",
  x.title = "Age",
  show.plot = TRUE
)

Value

Invisibly returns the grob description of the plot, which is a list with components that contain the plot itself, the data, information about the scales, panels, etc.

Arguments

x

An object output of the compute_SAI or SAI_shortcut_1 functions.

...

Other arguments passed on to methods. Not currently used.

min.age

A positive integer informing about the initial minimal age of the range of ages to be represented. This minimum age can be increased depending on the ages available in the SAI estimates. Default, 1.

max.age

A positive integer informing about the initial maximum age of the range of ages to be represented. This maximum age can be decreased depending on the ages available in the SAI estimates. Default, 100.

decimal.digits

Integer indicating the number of decimal places to be shown. Default, 1.

color.main

Color of the line corresponding to the estimated, normalized SAI. Default, "black".

color.lm

Color of the lm line. Default, "blue".

color.hline

Color of the hline (reference) line. Default, "red".

size.labels.y

Number informing the size of the labels of SAI axis. Default, 8.

axis.age.ticks

Optional vector with the values to be presented in the age axis.

limits.joint

Optional vector of length 2 with the limits for the SAI axis of the main plot.

breaks.joint

Optional vector with the values to be presented in the SAI axis of the main plot.

limits.ageing

Optional vector of length 2 with the limits for the SAI axis of the marginal ageing SAI plot.

breaks.ageing

Optional vector with the values to be presented in the SAI axis of the marginal ageing SAI plot.

limits.seasonal

Optional vector of length 2 with the limits for the SAI axis of the marginal seasonal (calendar) SAI plot.

breaks.seasonal

Optional vector with the values to be presented in the SAI axis of the marginal seasonal (calendar) SAI plot.

name.labels.ageing

Names to be used for the (y) ageing axis. Default, c("Q1", "Q2", "Q3", "Q4").

name.labels.season

Names to be used for the (x) season (calendar) axis. Default, c("Winter", "Spring", "Summer", "Autumn").

title.season

Name to be used for identifying the seasonal marginal panels. Default, "Seasonal effects".

title.ageing

Name to be used for identifying the ageing marginal panels. Default, "Ageing effects".

x.title

Name to be used for the x axis. Default, "Age".

show.plot

A TRUE/FALSE value indicating whether the plot should be displayed as a side-effect. By default, TRUE.

Author

Jose M. Pavia,

Examples

# \donttest{
# This can take a while
 t.stock <- time_exposed_stock(pop_2006$date.birth, 2006, "forward")
 t.stock <- t.stock[t.stock$age <= 100, ]
 temp <- quarterly_variables(death_2006$date.birth, death_2006$date.death)
 e.death <- count_events_quarter(temp)
 e.death <- e.death[e.death$age <= 100, ]
 t.birth <- time_exposed_newborns(birth_2006$date.birth)
 out <- crude_mx(t.stock, e.death, time.birth = t.birth)
 SAI.example <- compute_SAI(out, out)
 p <- plot(SAI.example, show.plot = FALSE)
# }