A dataset containing a continuous outcome and 6 baseline covariates
Usage
data(meanExample)Format
A dataframe with 4000 rows (patients) and 9 variables:
- age
age at baseline, centered to 48 years old, in years
- female
sex, 0 for male, 1 for female
- previous_treatment
previous treatment, "drugA", "drugB", or "drugC"
- previous_cost
previous medical cost, in US dollars
- previous_number_symptoms
previous number of symptoms, "0", "1", or ">=2"
- previous_number_relapses
previous number of relapses
- trt
current treatment, "drug0" or "drug1"
- y
count outcome, current number of relapses
#'
Examples
data(meanExample)
str(meanExample)
#> 'data.frame': 4000 obs. of 8 variables:
#> $ age : num [1:4000, 1] 11.8 -8.2 -3.2 -16.2 -8.2 ...
#> ..- attr(*, "scaled:center")= num 46.2
#> $ female : int 1 0 0 1 1 0 1 1 1 1 ...
#> $ previous_treatment : Factor w/ 3 levels "drugA","drugB",..: 3 3 1 3 2 3 3 3 3 1 ...
#> $ previous_cost : num [1:4000, 1] -0.331 -0.575 0.519 -0.519 -0.567 ...
#> ..- attr(*, "scaled:center")= num 13788
#> ..- attr(*, "scaled:scale")= num 20150
#> $ previous_number_symptoms: Factor w/ 3 levels "0","1",">=2": 2 2 3 2 2 2 2 2 1 3 ...
#> $ previous_status_measure : num 6.15 2.003 3.786 1.889 -0.516 ...
#> $ trt : chr "drug1" "drug0" "drug0" "drug0" ...
#> $ y : num [1:4000, 1] 21.93 -8.26 -3.32 -22.13 -7.91 ...
#> ..- attr(*, "dimnames")=List of 2
#> .. ..$ : chr [1:4000] "1" "2" "3" "4" ...
#> .. ..$ : NULL