[Feature Request]: Occurrences calculation

[pzhang-cims]

Feature description

Hi there,

Thanks for the effort on {tern} package development! I would like to check with you, if there a way to generate an occurrence table with the shell like below? The occurrence (take AE table as example) and percentage are shown as the same row as the SOC level.

I know that there is a way to generate the number by split_rows_by() and then summarize_num_patients(). However, this way only generate the n() into another line.

Also, i notice there is a function called summarize_row_groups() to add split_rows_by, however, this can only count non-unique number, instead of unique numbers. So even with customize cfun, this cannot achieve the goal.

Can we have a way to generate the results like above in screenshot?

Thanks in advance.

Best,

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[pzhang-cims]

Sry just happen to find out that we can implement like below with child_labels='hidden'

lyt <- basic_table() %>%
  split_cols_by(var= 'ARM')%>%
  ###to specify if total colum is needed, label and be set
  add_overall_col('Total')%>%
  ###add colcounts for all.
  add_colcounts()%>%
  split_rows_by(
    "AESOC",
    child_labels = "hidden"

  ) %>%
  ### you just need a variable here, 
  count_occurrences(
    vars = c("AESOC"),
    .indent_mods =0
  ) %>%
  count_occurrences(
    vars = c("AEDECOD"),
    .indent_mods =1
  ) 

###for alt_counts_df, make sure they have the same colum variable name
build_table(lyt,random.cdisc.data::cadae,alt_counts_df = random.cdisc.data::cadsl)