plot.psFit {fitPS} | R Documentation |
S3 plot method for an object of class psFit
Description
S3 plot method for an object of class psFit
Usage
## S3 method for class 'psFit'
plot(
x,
ylim = c(0, 1),
conf = FALSE,
conf.level = 0.95,
ci.type = c("wald", "prof"),
log.scale = FALSE,
...
)
Arguments
x |
an object of class psFit , usually from fitDist
or fitZIDist .
|
ylim |
the limits of the y-axis.
|
conf |
if TRUE , and the model is the the zeta model (as opposed
to the zero-inflated zeta (ZIZ), then confidence intervals (based on the standard
error of the shape parameter) are drawn on the plot. If the ZIZ model has
been used, then this is ignored.
|
conf.level |
the confidence level for the confidence intervals. Must be
between 0.75 and 0.99.
|
ci.type |
Specifies the type of confidence interval. If conf ==
TRUE , then then ci.type can be either "wald" "prof" (or
an abbreviation), depending on whether the Wald interval or the profile
likelihood interval should be used. Note that these are intervals on the shape
parameter and not the density heights. Therefore the intervals around the
probabilities should not really be thought of as confidence intervals but
rather something more similar to a "sensitivity" interval.
|
log.scale |
if TRUE the y -axis is changed to a
logarithmic (base 10) axis.
|
... |
other arguments passed to plot .
|
Value
No return value, called for side effects
Examples
p = readData(system.file("extdata", "p.xlsx", package = "fitPS"))
fit = fitDist(p)
plot(fit)
## An example with Wald generated intervals
plot(fit, conf = TRUE)
plot(fit, conf = TRUE, ci.type = "p")
[Package
fitPS version 1.0.1
Index]