Just a wrapper to the Stats function.
Stats_cohort(...)
| ... | Parameters forwarded to the |
|---|
See function Stats.
Other Summary statistics:
DET_index(),
Stats_drivers(),
Stats_fits(),
Stats_trees(),
Stats()
# Data released in the 'evoverse.datasets' data('TRACERx_NEJM_2017_REVOLVER', package = 'evoverse.datasets') # Get the stats for all patients Stats_cohort(TRACERx_NEJM_2017_REVOLVER)#> # A tibble: 99 x 7 #> patientID numBiopsies numMutations numDriverMutations numClonesWithDriver #> <chr> <int> <int> <int> <int> #> 1 CRUK0001 3 7 7 4 #> 2 CRUK0002 3 7 7 4 #> 3 CRUK0003 5 4 4 2 #> 4 CRUK0004 4 4 4 2 #> 5 CRUK0005 4 6 6 2 #> 6 CRUK0006 2 6 6 3 #> 7 CRUK0007 2 3 3 1 #> 8 CRUK0008 2 6 6 2 #> 9 CRUK0009 4 7 7 2 #> 10 CRUK0010 2 3 3 1 #> # … with 89 more rows, and 2 more variables: numTruncalMutations <int>, #> # numSubclonalMutations <int># And subset the patients Stats_cohort(TRACERx_NEJM_2017_REVOLVER, patients = c('CRUK0001', 'CRUK0002'))#> # A tibble: 2 x 7 #> patientID numBiopsies numMutations numDriverMutations numClonesWithDriver #> <chr> <int> <int> <int> <int> #> 1 CRUK0001 3 7 7 4 #> 2 CRUK0002 3 7 7 4 #> # … with 2 more variables: numTruncalMutations <int>, #> # numSubclonalMutations <int>