| plot.choose_ud {exdex} | R Documentation | 
Plot threshold u and runs parameter D diagnostic for the
D-gaps estimator
Description
plot method for objects inheriting from class "choose_ud",
returned from choose_ud
Usage
## S3 method for class 'choose_ud'
plot(
  x,
  y = c("imts", "theta"),
  level = 0.95,
  interval_type = c("norm", "lik"),
  conf_scale = c("theta", "log"),
  alpha = 0.05,
  constrain = TRUE,
  for_abline = list(lty = 2, lwd = 1, col = 1),
  digits = 3,
  uprob = FALSE,
  leg_pos = if (y == "imts") "topright" else "topleft",
  ...
)
Arguments
| x | an object of class  | 
| y | A character scalar indicating what should be plotted on the
vertical axes of the plot: information matrix test statistics (IMTS)
if  | 
| level | A numeric scalar in (0, 1).  The confidence level used in
calculating confidence intervals for  | 
| interval_type | A character scalar.  The type of confidence interval
to be plotted, if  | 
| conf_scale | A character scalar.  If  | 
| alpha | A numeric vector with entries in (0, 1). The size of the test to be performed. | 
| constrain | A logical scalar.  The argument  | 
| for_abline | Only relevant when  | 
| digits | An integer. Used for formatting the value of the threshold
with  | 
| uprob | A logical scalar. Should we plot  | 
| leg_pos | A character scalar.  The position of any legend added to
a plot.  Only relevant when both the arguments  | 
| ... | Additional arguments passed to  | 
Details
The type of plot produced depends mainly on y.
If y = "imts" then the values of IMTS are plotted against the
thresholds in x$u (or their corresponding approximate sample
quantile levels if uprob = TRUE) for each value of D
in x$D.  Horizontal lines are added to indicate the critical
values of the IMT for the significance levels in alpha.
We would not reject at the 100alpha% level combinations of
threshold and D corresponding to values of the IMTS that fall
below the line.
If y = "theta" then estimates of \theta are plotted on the
vertical axis.  If both x$u and x$D$ have length greater
than one then only these estimates are plotted.  If either x$u
or x$D have length one then approximate 100level%
confidence intervals are added to the plot and the variable,
x$u or x$D that has length greater than one is plotted on
the horizontal axis.
Value
Nothing is returned.
Examples
See the examples in choose_ud.