library("dplyr") load("../data/all_go_results.rda") all_sig_categories <- unlist(sapply(all_go_results, rownames)) tabled_categories <- table(all_sig_categories) tibble_cat <- as_tibble(tabled_categories) filt <- tibble_cat %>% arrange(desc(n)) %>% mutate(proportion = n/length(all_go_results)) %>% filter(proportion > 0.3) filt
suspects <- select(filt, all_sig_categories)
filename <- "../data/public_data_tidied.txt" output_file <- file(filename, "wb") write.table( file = output_file, x = suspects, row.names = FALSE, col.names = FALSE, quote = FALSE ) close(output_file)
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