Mock study data for examples

Mock clinical study data for examples to test data manipulation and statistical functions. The function muck_up_mockstudy() is used in examples for comparedf.

mockstudy

muck_up_mockstudy()

Format

A data frame with 1499 observations on the following 15 variables:

case

a numeric identifier-patient ID

age

age in years

arm

treatment arm divided into 3 groups, character string

sex

a factor with levels Male Female

race

self-reported race/ethnicity, character string

fu.time

survival or censoring time in years

fu.stat

censoring status; 1=censor, 2=death

ps

integer, ECOG performance score

hgb

numeric, hemoglobin count

bmi

numeric, body mass index, kg/m^2

alk.phos

numeric, alkaline phosphatase

ast

numeric, aspartate transaminase

mdquality.s

integer, LASA QOL 0=Clinically Deficient, 1=Not Clinically Deficient

age.ord

an ordered factor split of age, with levels 10-19 < 20-29 < 30-39 < 40-49 < 50-59 < 60-69 < 70-79 < 80-89

An object of class data.frame with 1499 rows and 14 columns.

Examples

data(mockstudy)
str(mockstudy)
#> 'data.frame':	1499 obs. of  14 variables:
#>  $ case       : int  110754 99706 105271 105001 112263 86205 99508 90158 88989 90515 ...
#>  $ age        : int  67 74 50 71 69 56 50 57 51 63 ...
#>   ..- attr(*, "label")= chr "Age in Years"
#>  $ arm        : chr  "F: FOLFOX" "A: IFL" "A: IFL" "G: IROX" ...
#>   ..- attr(*, "label")= chr "Treatment Arm"
#>  $ sex        : Factor w/ 2 levels "Male","Female": 1 2 2 2 2 1 1 1 2 1 ...
#>  $ race       : chr  "Caucasian" "Caucasian" "Caucasian" "Caucasian" ...
#>   ..- attr(*, "label")= chr "Race"
#>  $ fu.time    : int  922 270 175 128 233 120 369 421 387 363 ...
#>  $ fu.stat    : int  2 2 2 2 2 2 2 2 2 2 ...
#>  $ ps         : int  0 1 1 1 0 0 0 0 1 1 ...
#>  $ hgb        : num  11.5 10.7 11.1 12.6 13 10.2 13.3 12.1 13.8 12.1 ...
#>  $ bmi        : num  25.1 19.5 NA 29.4 26.4 ...
#>   ..- attr(*, "label")= chr "Body Mass Index (kg/m^2)"
#>  $ alk.phos   : int  160 290 700 771 350 569 162 152 231 492 ...
#>  $ ast        : int  35 52 100 68 35 27 16 12 25 18 ...
#>  $ mdquality.s: int  NA 1 1 1 NA 1 1 1 1 1 ...
#>  $ age.ord    : Ord.factor w/ 8 levels "10-19"<"20-29"<..: 6 7 4 7 6 5 4 5 5 6 ...