Create a data frame representation of a TINC fit, reporting the most relevant information of the data and model fit.
to_string(x)
A TINC fit.
A dataframe.
data(fit_example, package = 'TINC')
to_string(fit_example)
#> TIN TIT TIN_rf TIT_rf n_mutations_total
#> 1 0.06871154 0.7833189 0.06871154 0.7833189 985
#> n_mutations_clonal clonal_cluster latentvar_clonal_cutoff betas_mobster
#> 1 714 C1 0.75 1
#> tail_mobster K_mobster n_binomial_clusters_bmix n_binomial_clusters_viber
#> 1 1 2 1 2
#> binomial_peaks_bmix params_VAF_range_tumour params_cutoff_miscalled_clonal
#> 1 0.0343557710236808 0:0.7 0.6
#> params_cutoff_lv_assignment params_cutoff_lv_assignment_dynamic params_N
#> 1 0.75 FALSE 20000
#> params_FAST
#> 1 TRUE
#> cna_params_used_chromosomes
#> 1 chr21:chr13:chr15:chr9:chr6:chr1:chr19:chr4:chr16:chr7:chr20:chr11:chr8:chr14:chr18:chr5:chr3:chr10:chr22:chr12:chr17:chr2
#> cna_params_karyotype cna_params_ploidy
#> 1 1:1 2