View source: R/plotSurvGenderSeverity.R
plotSurvGenderSeverity | R Documentation |
plotSurvGenderSeverity
returns a plot of survivorship be severity and gender
plotSurvGenderSeverity(kmlines, censTicks, yearEnd, increment, legendLabs)
kmlines |
A list with |
yearEnd |
A matrix where each row contains the estimated death times for each animal. Times are in the columns from 1:bnt, which allows for the animal to be alive at the time modelling end. |
increment |
Scalar representing the temporal unit at which we're showing survival. |
legendLabs |
Character vector to be used in plotting the legend. |
censticks |
A list with |
This is a function that will build a ggplot2
object that displays
the KM curve along with the times animals get censored. The median estimates
of survivorship and censored times are used to make the main line. This comes
from the first element of each list that is passed to the function.
The idea behind this function is to show the uncertainty in survivorship that arises from the different estimates of death in each animal.
The main difference from plotSurv
is that this breaks out overall
survival and produces three lines for each of the three entanglement
categories as well as plotting facets for each gender
A ggplot2 object that can be used to create the output plot
## Not run: plotSurvGenderSeverity(kmlines, censTicks, 7) ## End(Not run)
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