Lexis.diagram {Epi}R Documentation

Plot a Lexis diagram

Description

Draws a Lexis diagram, optionally with life lines from a cohort, and with lifelines of a cohort if supplied. Intended for presentation purposes.

Usage

Lexis.diagram( age = c( 0, 60), 
              alab = "Age",
              date = c( 1940, 2000 ),
              dlab = "Calendar time",
               int = 5,
           lab.int = 2*int, 
          col.life = "black",
          lwd.life = 2,
          age.grid = TRUE,
         date.grid = TRUE,
          coh.grid = FALSE,
          col.grid = gray(0.7),
          lwd.grid = 1,     
               las = 1,
        entry.date = NA,
         entry.age = NA,
         exit.date = NA,
          exit.age = NA,
         risk.time = NA,
        birth.date = NA,
              fail = NA,
          cex.fail = 1.1, 
          pch.fail = c(NA,16),
          col.fail = rep( col.life, 2 ),
              data = NULL, ... )

Arguments

age Numerical vector of length 2, giving the age-range for the diagram
alab Label on the age-axis.
date Numerical vector of length 2, giving the calendar time-range for the diagram
dlab label on the calendar time axis.
int The interval between grid lines in the diagram. If a vector of length two is given, the first value will be used for spacing of age-grid and the second for spacing of the date grid.
lab.int The interval between labelling of the grids.
col.life Colour of the life lines.
lwd.life Width of the life lines.
age.grid Should grid lines be drawn for age?
date.grid Should grid lines be drawn for date?
coh.grid Should grid lines be drawn for birth cohorts (diagonals)?
col.grid Colour of the grid lines.
lwd.grid Width of the grid lines.
las How are the axis labels plotted?
entry.date, entry.age, exit.date, exit.age, risk.time, birth.date Numerical vectors defining lifelines to be plotted in the diagram. At least three must be given to produce lines. Not all subsets of three will suffice, the given subset has to define life lines. If insufficient data is given, no life lines are produced.
fail Logical of event status at exit for the persons whose life lines are plotted.
pch.fail Symbols at the end of the life lines for censorings (fail==0) and failures (fail != 0).
cex.fail Expansion of the status marks at the end of life lines.
col.fail Character vector of length 2 giving the colour of the failure marks for censorings and failures respectively.
data Dataframe in which to interpret the arguments.
... Arguments to be passed on to the initial call to plot.

Details

The default unit for supplied variables are (calendar) years. If any of the variables entry.date, exit.date or birth.date are of class "Date" or if any of the variables entry.age, exit.age or risk.time are of class "difftime", they will be converted to calendar years, and plotted correctly in the diagram. The returned dataframe will then have colums of classes "Date" and "difftime".

Value

If sufficient information on lifelines is given, a data frame with one row per person and columns with entry ages and dates, birth date, risk time and status filled in.
Side effect: a plot of a Lexis diagram is produced with the life lines in it is produced. This will be the main reason for using the function. If the primary aim is to illustrate follow-up of a cohort, then it is better to represent the follow-up in a Lexis object, and use the generic plot.Lexis function.

Author(s)

Bendix Carstensen, http://www.biostat.ku.dk/~bxc

See Also

Life.lines, Lexis.lines

Examples

Lexis.diagram( entry.age = c(3,30,45),
               risk.time = c(25,5,14),
              birth.date = c(1970,1931,1925.7),
                    fail = c(TRUE,TRUE,FALSE) )
LL <- Lexis.diagram( entry.age = sample( 0:50, 17, replace=TRUE ),
                     risk.time = sample( 5:40, 17, r=TRUE),
                    birth.date = sample( 1910:1980, 17, r=TRUE ),
                          fail = sample( 0:1, 17, r=TRUE ), 
                      cex.fail = 1.1,
                      lwd.life = 2 )
# Identify the persons' entry and exits
text( LL$exit.date, LL$exit.age, paste(1:nrow(LL)), col="red", font=2, adj=c(0,1) )
text( LL$entry.date, LL$entry.age, paste(1:nrow(LL)), col="blue", font=2, adj=c(1,0) )
data( nickel )
attach( nickel )
LL <- Lexis.diagram( age=c(10,100), date=c(1900,1990), 
                     entry.age=age1st, exit.age=ageout, birth.date=dob, 
                     fail=(icd %in% c(162,163)), lwd.life=1,
                     cex.fail=0.8, col.fail=c("green","red") )
abline( v=1934, col="blue" )
nickel[1:10,]
LL[1:10,]

[Package Epi version 1.0.12 Index]