summary.subgroupAnalysis {Publish} | R Documentation |
summary.subgroupAnalysis
Description
This function operates on a "subgroupAnalysis" object to produce a formatted table.
Usage
## S3 method for class 'subgroupAnalysis'
summary(
object,
digits = 3,
eps = 0.001,
subgroup.p = FALSE,
keep.digital = FALSE,
...
)
Arguments
object |
- a subgroupAnalysis object |
digits |
- number of digits for risk ratios |
eps |
- lowest value of p to be shown exactly, others will be "<eps" |
subgroup.p |
- present p-values for analyses in subgroups |
keep.digital |
- prevents formatting risk ratio and confidence limits. Useful for cases when further manipulations of rows and columns prior to adding a forest plot is relevant. |
... |
- not currently used |
Details
This function produces a formatted or unformatted table of a subgroupAnalysis object. A forest plot can be added with the plot function.
Value
A data.frame with formatted values for subgroups
Author(s)
Christian Torp-Pedersen
See Also
subgroupAnalysis
Examples
#load libraries
library(Publish)
library(survival)
library(data.table)
data(traceR) #get dataframe traceR
setDT(traceR)
traceR[,':='(wmi2=factor(wallMotionIndex<0.9,levels=c(TRUE,FALSE),
labels=c("bad","good")),
abd2=factor(abdominalCircumference<95, levels=c(TRUE,FALSE),
labels=c("slim","fat")))]
traceR[,sex:=as.factor(sex)] # all subgroup variables needs to be factor
traceR[observationTime==0,observationTime:=1]
# univariate analysis of smoking in subgroups of age and sex
# Basic model from randomised study - but observed for 12 years
fit_cox <- coxph(Surv(observationTime,dead)~treatment,data=traceR)
sub_cox <- subgroupAnalysis(fit_cox,traceR,treatment="treatment",
subgroup=c("smoking","sex","wmi2","abd2")) # subgroups as character string
summary(sub_cox)
[Package Publish version 2023.01.17 Index]