'data.frame':	289 obs. of  10 variables:
 $ id            : int  1 2 3 3 3 4 4 5 5 5 ...
 $ time0         : num  0 0 0 0.525 0.921 ...
 $ time1         : num  0.71 1.282 0.525 0.921 0.942 ...
 $ new.lesions   : int  0 0 1 1 0 1 0 1 1 0 ...
 $ treatment     : Factor w/ 2 levels "S","C": 1 2 1 1 1 2 2 1 1 1 ...
 $ age           : Factor w/ 3 levels "<60 years","60-69 years",..: 2 3 2 2 2 2 2 3 3 3 ...
 $ who.PS        : Factor w/ 3 levels "0","1","2": 1 1 2 2 2 1 1 3 3 3 ...
 $ prev.resection: Factor w/ 2 levels "No","Yes": 1 1 1 1 1 2 2 1 1 1 ...
 $ state         : int  1 1 0 0 1 0 1 0 0 1 ...
 $ gap.time      : num  0.7096 1.2822 0.5246 0.3962 0.0217 ...
'data.frame':	906 obs. of  7 variables:
 $ id            : int  1 1 1 1 2 2 2 2 2 2 ...
 $ year          : num  0 0.213 0.459 0.631 0 ...
 $ tumor.size    : num  5.23 4.49 4.6 4.53 3.05 ...
 $ treatment     : Factor w/ 2 levels "S","C": 1 1 1 1 2 2 2 2 2 2 ...
 $ age           : Factor w/ 3 levels "<60 years","60-69 years",..: 2 2 2 2 3 3 3 3 3 3 ...
 $ who.PS        : Factor w/ 3 levels "0","1","2": 1 1 1 1 1 1 1 1 1 1 ...
 $ prev.resection: Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ...
       id              year          tumor.size     treatment          age     
 Min.   :  1.00   Min.   :0.0000   Min.   :-3.333   S:453     <60 years  :299  
 1st Qu.: 39.00   1st Qu.:0.1721   1st Qu.: 1.521   C:453     60-69 years:259  
 Median : 75.00   Median :0.4945   Median : 2.655             >69 years  :348  
 Mean   : 75.06   Mean   :0.6739   Mean   : 2.502                              
 3rd Qu.:111.75   3rd Qu.:0.9740   3rd Qu.: 3.669                              
 Max.   :150.00   Max.   :3.5301   Max.   : 6.562                              
 who.PS  prev.resection
 0:415   No :316       
 1:363   Yes:590       
 2:128                 
                       
                       
                       
