forest {anoint} | R Documentation |
Construct a forestplot from a anoint
object
Description
Constructs a forestplot displaying the treatment effect within subgroups for each set of specified categorical variables. Provides a visual comparison of subgroup treatment effect to overall treatment effect, without adjustment for confounding factors or multiplicity.
Includes unadjusted p-values for each subgroup's treatment-covariate interaction test for glm or Cox regression models.
Usage
forest(object,terms=NULL,x.axis=NULL,labels=NULL,fun=exp,...)
Arguments
object |
object of |
terms |
numeric index indicating which terms in prognostic model to include in plot |
x.axis |
Points for tick marks of the bottom axis |
labels |
Matrix of labels of the same rows as |
fun |
functional transformation applied to treatment effects and confidence intervals |
... |
additional arguments passed to |
Details
Additional arguments that can be specified include:
- pch.size
one number of a vector of two elements indicating the (min, max) for the relative plotting symbols. These reflect the relative precision of the symbol estimates
- x.axis
Points for tick marks of the bottom axis
- header
Vector of names for the columns of
labels
- main
String of the title of plot
If no values are specifed for the x.axis
, eight values over the range of the CIs is used.
If no values are specified for labels
, the row names are used.
Value
A labeled forestplot of subgroup treatment effects.
Author(s)
Stephanie Kovalchik <s.a.kovalchik@gmail.com>
Examples
data(simsolvd)
obj <- anoint(Surv(ttodthorchfhosp, censor==0)~(nyha+cardratio+current)*trt,data=simsolvd,
family="coxph")
forest(obj)
grid.newpage()
forest(obj,x.axis=seq(0.7,1.5,by=.2))