This survival data example is to illustrate WPC approach. 90 patients are randomized into three different arms, 1 placebo and 2 treatments (high dose and low dose). For each patient, four biomarkers are measured at baseline. Overall survival and progression free survival information are collected.

1 | ```
data("wpcdata")
``` |

A data frame with 90 observations on the following 13 variables.

`SUBJID`

a numeric vector, indicating subject id information.

`TRTA`

a factor, indicating three different arms, with levels

`HighDose`

`LowDose`

`Placebo`

`ATRT`

a factor, indicating whether patients receive placebo or treatment, with levels

`Placebo`

`Treatment`

`Biomarker1`

a numeric vector, first biomarker with the value between 0 and 100

`Biomarker2`

a numeric vector, second biomarker with the value between 0 and 200

`Biomarker3`

a numeric vector, third biomarker with the value between 0 and 100

`Biomarker4`

a numeric vector, fourth biomarker with the value between 0 and 200

`OSday`

a numeric vector, overall survival in days

`OSmonth`

a numeric vector, overall survival in months

`OScensor`

a numeric vector, censor information for overall survival, 0 = alive and 1 = dead

`PFSday`

a numeric vector, progression free survival in days

`PFSmonth`

a numeric vector, progression free survival in months

`PFScensor`

a numeric vector, censor information for progression free survival, 0 = censor and 1 = event

`SoloScattorPlot`

, `DuoScattorPlot`

, `TrioScattorPlot`

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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