Returns the number of samples per patient, the number of drivers, the number of clonal and subclonal mutations etc. The function can be run on a subset of patients.

Stats(x, patients = x$patients)

Arguments

x

A REVOLVER cohort.

patients

The patients for which the summaries are computed.

Value

A tibble with summary stastics.

See also

Other Summary statistics: DET_index(), Stats_cohort(), Stats_drivers(), Stats_fits(), Stats_trees()

Examples

# Data released in the 'evoverse.datasets' data('TRACERx_NEJM_2017_REVOLVER', package = 'evoverse.datasets') # Get the stats for all patients Stats(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(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>