R/calculate_row_exclusivity_weights.R
    calculate_row_exclusivity_weights.RdThe weight for each gene in the Row-Exclusivity test is the number of samples with a mutation in a gene divided by the number of samples.
calculate_row_exclusivity_weights(dat, sample_col, mutgene_col)
| dat | tibble with mutation information  | 
    
|---|---|
| sample_col | column of samples names (quoted)  | 
    
| mutgene_col | column of genes that are mutated (quoted)  | 
    
library(wext) calculate_row_exclusivity_weights(dat = simple_dataset, sample_col = sample_name, mutgene_col = mutated_gene)#> # A tibble: 112 x 3 #> sample_name mutated_gene row_ex_weights #> <chr> <chr> <dbl> #> 1 1 a 0.429 #> 2 1 b 0.429 #> 3 1 c 0.643 #> 4 1 d 0.643 #> 5 1 e 0.143 #> 6 1 f 0.0714 #> 7 1 g 0.143 #> 8 1 h 0.0714 #> 9 10 a 0.429 #> 10 10 b 0.429 #> # … with 102 more rows