plot.survFitCstExp {morse} | R Documentation |
Plotting method for survFit
objects
Description
This is the generic plot
S3 method for the
survFit
. It plots the fit obtained for each
concentration of chemical compound in the original dataset.
Usage
## S3 method for class 'survFitCstExp'
plot(
x,
xlab = "Time",
ylab = "Survival probability",
main = NULL,
concentration = NULL,
spaghetti = FALSE,
one.plot = FALSE,
adddata = TRUE,
addlegend = FALSE,
style = "ggplot",
...
)
Arguments
x |
An object of class |
xlab |
A label for the |
ylab |
A label for the |
main |
A main title for the plot. |
concentration |
A numeric value corresponding to some specific concentrations in
|
spaghetti |
if |
one.plot |
if |
adddata |
if |
addlegend |
if |
style |
graphical backend, can be |
... |
Further arguments to be passed to generic methods. |
Details
The fitted curves represent the estimated survival probability as a function
of time for each concentration.
The black dots depict the observed survival
probability at each time point. Note that since our model does not take
inter-replicate variability into consideration, replicates are systematically
pooled in this plot.
The function plots both 95% credible intervals for the estimated survival
probability (by default the grey area around the fitted curve) and 95% binomial confidence
intervals for the observed survival probability (as black error bars if
adddata = TRUE
).
Both types of intervals are taken at the same level. Typically
a good fit is expected to display a large overlap between the two types of intervals.
If spaghetti = TRUE
, the credible intervals are represented by two
dotted lines limiting the credible band, and a spaghetti plot is added to this band.
This spaghetti plot consists of the representation of simulated curves using parameter values
sampled in the posterior distribution (2% of the MCMC chains are randomly
taken for this sample).
Value
a plot of class ggplot