Make a new data of mean value or most frequent value
Usage
fit2newdata(
fit,
xnames = NULL,
pred.values = list(),
maxy.lev = 5,
median = TRUE,
digits = 1
)Arguments
- fit
An object of class "coxph"
- xnames
character Names of explanatory variable to plot
- pred.values
A list A list of predictor values
- maxy.lev
Integer Maximum unique length of a numeric variable to be treated as categorical variables
- median
logical If TRUE, select median value for numerical variable. Otherwise select most frequent value
- digits
integer indicating the number of decimal places
Examples
require(survival)
data(cancer,package="survival")
fit=coxph(Surv(time,status)~rx+sex+age,data=colon)
fit=coxph(Surv(time,status)~rx+age+strata(sex),data=colon)
fit=survreg(Surv(time, status) ~ ph.ecog + age + sex, data=lung, dist="weibull")
fit2newdata(fit)
#> ph.ecog age sex
#> 1 0 63 1
#> 2 1 63 1
#> 3 2 63 1
#> 4 3 63 1
fit2newdata(fit,pred.values=list(sex=0,age=58))
#> sex age ph.ecog
#> 1 0 58 1
fit2newdata(fit,pred.values=list(age=c(20,40,60,80),sex=2,ph.ecog=3))
#> age sex ph.ecog
#> 1 20 2 3
#> 2 40 2 3
#> 3 60 2 3
#> 4 80 2 3