R: Confidence interval plots for linear hypotheses in natural...
plot.neLht
R Documentation
Confidence interval plots for linear hypotheses in natural effect models
Description
Confidence interval plots for linear hypotheses in natural effect models.
Usage
## S3 method for class 'neEffdecomp'
plot(x, level = 0.95, transf = identity, ylabels,
yticks.at, ...)
## S3 method for class 'neLht'
plot(x, level = 0.95, transf = identity, ylabels, yticks.at,
...)
## S3 method for class 'neLhtBoot'
plot(x, level = 0.95, ci.type = "norm",
transf = identity, ylabels, yticks.at, ...)
Arguments
x
an object of class neLht.
level
the confidence level required.
transf
transformation function to be applied internally on the (linear hypothesis) estimates and their confidence intervals (e.g. exp for logit or Poisson regression). The default is identity (i.e. no transformation).
ylabels
character vector containing the labels for the (linear hypothesis) estimates to be plotted on the y-axis.
yticks.at
numeric vector containing the y-coordinates (from 0 to 1) to draw the tick marks for the different estimates and their corresponding confidence intervals.
...
additional arguments.
ci.type
the type of bootstrap intervals required (see type argument in neModel-methods).
Details
This function is an adapted version of plot.glht from the multcomp package and
yields confidence interval plots for each of the linear hypothesis parameters.