crr output list- remove df$ from coefficients?

user_14622403 0
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I am using the cmprsk package to create a series of regressions. In the real models I used, I specified my models in the same way that is shown in the example that produces mel2 below. My problem is, I want the Melanoma$ in front of the coefficients to go away, as happens if I had specified the model like in mel1. Is there a way to delete that data frame prefix out of the object without re-running it?

library(cmprsk)
data(Melanoma, package = "MASS")

head(Melanoma)

mel1 <- crr(ftime = Melanoma$time, fstatus = Melanoma$status, cov1 = Melanoma[, c("sex", "age")], cencode = 2)

covs2 <- model.matrix(~ Melanoma$sex + Melanoma$age)[, -1]
mel2 <- crr(ftime = Melanoma$time, fstatus = Melanoma$status, cov1 = covs2, cencode = 2)

What I want: enter image description here

What I have: enter image description here

r
1 Answers

You could use the data argument in model.matrix, and wrap the crr call in with(Melanoma, ...)

covs2 <- model.matrix(~ sex + age, data = Melanoma)[, -1]
mel2 <- with(Melanoma, crr(ftime = time, fstatus = status, 
                           cov1 = covs2, cencode = 2))

mel2$coef
#>        sex        age 
#> 0.58838573 0.01259388

If you are stuck with existing models like this:

covs2 <- model.matrix(~ Melanoma$sex + Melanoma$age)[, -1]
mel2 <- crr(ftime = Melanoma$time, fstatus = Melanoma$status,
            cov1 = covs2, cencode = 2)

You could simply rename the coefficients like this

names(mel2$coef) <- c("sex", "age")

mel2
#> convergence:  TRUE 
#> coefficients:
#>     sex     age 
#> 0.58840 0.01259 
#> standard errors:
#> [1] 0.271800 0.009301
#> two-sided p-values:
#>  sex  age 
#> 0.03 0.18
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