R: Plots GLM regression standardization fit

plot.stdGlm

R Documentation

Plots GLM regression standardization fit

This is a plot method for class "stdGlm".

## S3 method for class 'stdGlm'
plot(x, CI.type = "plain", CI.level = 0.95,
  transform = NULL, contrast = NULL, reference = NULL, ...)

`x`	an object of class `"stdGlm"`.
`CI.type`	string, indicating the type of confidence intervals. Either "plain", which gives untransformed intervals, or "log", which gives log-transformed intervals.
`CI.level`	desired coverage probability of confidence intervals, on decimal form.
`transform`	a string. If set to `"log"`, `"logit"`, or `"odds"`, the standardized mean θ(x) is transformed into ψ(x)=log\{θ(x)\}, ψ(x)=log[θ(x)/\{1-θ(x)\}], or ψ(x)=θ(x)/\{1-θ(x)\}, respectively. If left unspecified, ψ(x)=θ(x).
`contrast`	a string. If set to `"difference"` or `"ratio"`, then ψ(x)-ψ(x_0) or ψ(x) / ψ(x_0) are constructed, where x_0 is a reference level specified by the `reference` argument.
`reference`	must be specified if `contrast` is specified.
`...`	further arguments passed on to plot.default.

Arvid Sjolander


##See documentation for stdGlm