mockstudy: Mock study data for examples
In arsenal: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries

Description Usage Format 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.

1
2
3

mockstudy

muck_up_mockstudy()

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.

1 2	data(mockstudy) str(mockstudy)

'data.frame':	1499 obs. of  14 variables:
 $ case       : int  110754 99706 105271 105001 112263 86205 99508 90158 88989 90515 ...
 $ age        : atomic  67 74 50 71 69 56 50 57 51 63 ...
  ..- attr(*, "label")= chr "Age in Years"
 $ arm        : atomic  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       : atomic  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        : atomic  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 ...