summary.ptwiseELtest: Summary function for ptwiseELtest object
In survELtest: Comparing Multiple Survival Functions with Crossing Hazards

Description Usage Arguments Value See Also Examples

Returns a list with a data frame containing the observed uncensored time points, and the decisions, statistics, and critical values of the pointwise EL tests at those time points.

1 2	## S3 method for class 'ptwiseELtest' summary(object, digits = max(3L, getOption("digits") - 3L), quiet = FALSE, ...)

`object`	the result of a call to the `ptwiseELtest` function
`digits`	significant digits to print, the default value is `max(3L, getOption("digits") - 3L)`
`quiet`	a logical indicating whether to reduce the amount of output or not, the default value is `FALSE`
`...`	for future method

summary.ptwiseELtest returns a list with following components:

call the statement used to create the ptwiseELtest object
result_dataframe a dataframe with time_pts in the first column, decision in the second column, stat_ptwise in the third column and critval_ptwise in the fourth column.
- time_pts a vector containing the observed uncensored time points at which the Kaplan—Meier estimate is positive and less than 1 for each sample.
- decision a vector containing the decisions of the pointwise EL tests at time_pts. The decision at each of time_pts is 1 for rejection of the null hypothesis that the survival functions are the same at the specific time point, and 0 otherwise.
- stat_ptwise a vector containing the pointwise EL statistics at time_pts.
- critval_ptwise a vector containing the critical values for pointwise EL testing at time_pts.

hepatitis, ptwiseELtest, print.ptwiseELtest

library(survELtest)
result = ptwiseELtest(survival::Surv(hepatitis$time, hepatitis$censor)~
             hepatitis$group, sided = 1)
summary(result)

## OUTPUT:
## Call:
## ptwiseELtest(formula = survival::Surv(hepatitis$time, hepatitis$censor) ~  
##     hepatitis$group, sided = 1)
## 
##    time_pts decision stat_ptwise critval_ptwise
## 1       5.2        0      0.3005          2.951
## 2       9.7        0      0.0000          2.833
## 3      12.9        0      0.1627          2.748
## 4      14.0        0      0.6114          2.583
## 5      14.9        0      2.0010          2.780
## 6      15.7        1      3.7873          2.764
## 7      18.0        1      3.0722          2.652
## 8      18.9        0      1.8878          2.454
## 9      19.2        1      2.5896          2.339
## 10     19.7        0      1.6133          2.601
## 11     20.0        0      2.2393          2.383
## 12     21.7        1      3.6936          2.192
## 13     24.0        1      4.5083          2.300
## 14     24.9        1      5.3743          2.391
## 15     26.0        1      6.2879          2.253
## 16     26.9        1      9.2827          2.117
## 17     27.8        1     10.3581          2.209
## 18     28.0        1      6.9862          2.317
## 19     30.0        1      7.9190          2.346
## 20     31.2        1      6.5074          2.318
## 21     32.1        1      4.9709          2.310
## 22     34.1        1      5.7455          2.360
## 23     36.1        1      6.5627          2.244
## 24     44.9        1      5.4374          2.363
## 25     45.2        1      6.2240          2.416
## 26     47.8        1      7.0519          2.409
## 27     54.1        1      7.9198          2.427
## 28     54.9        1      6.7260          2.310
## 29     58.1        1      7.5667          2.456
## 30     59.8        1      7.2524          2.483
## 31     63.2        1      6.1770          2.511
## 32     70.4        1      5.2110          2.562
## 33     76.1        1      4.3461          2.683
## 34     80.1        1      3.5753          2.744
## 35     81.3        1      2.8926          2.467
## 36     82.1        0      2.2925          2.669
## 37     90.1        1      2.7908          2.543
## 38     92.1        0      2.2120          2.523
## 39     95.0        0      1.7079          2.755
## 40     99.0        0      2.1383          2.762
## 41    108.2        0      2.6206          2.652
## 42    109.9        1      3.1475          2.630
## 43    117.0        0      2.5398          2.646
## 44    148.8        1      3.0555          2.685
## 45    153.1        0      2.4658          2.774