gtreg (version 0.4.1)

tbl_ae_count: Tabulate Raw AE Counts

Description

Create a table counting all AEs.

Usage

tbl_ae_count(
  data,
  ae,
  soc = NULL,
  by = NULL,
  strata = NULL,
  by_values = NULL,
  digits = NULL,
  sort = NULL,
  zero_symbol = "\U2014",
  missing_location = c("first", "last", "hide")
)

Value

a 'tbl_ae_count' object

Arguments

data

Data frame

ae

Variable name of the adverse event column

soc

Variable name of the system organ class column

by

Variable to split results by, e.g. report AEs by grade

strata

Variable to stratify results by, e.g. report AEs summaries by treatment group

by_values

Optional vector of complete by values, listed in desired order, to achieve correct table structure for the situation in which an adverse event of a certain grade is not observed for a given soc

digits

Specifies the number of decimal places to round the summary statistics. By default integers are shown to zero decimal places, and percentages are formatted with style_percent(). If you would like to modify either of these, pass a vector of integers indicating the number of decimal places to round the statistics. For example, if the statistic being calculated is "{n} ({p}%)" and you want the percent rounded to 2 decimal places use digits = c(0, 2). User may also pass a styling function: digits = style_sigfig

sort

Controls order of AEs and SOCs in output table. The default is NULL, where AEs and SOCs are sorted alphanumerically (and factors sorted according to their factor level). Use sort = "ae" to sort AEs in decreasing frequency order, sort = "soc" to sort SOCs in decreasing order, and sort = c("ae", "soc") to sort both. AEs are sorted within SOC.

zero_symbol

String used to represent cells with zero counts. Default is the em-dash ("\U2014"). Using zero_symbol = NULL will print the zero count statistics, e.g. "0 (0)"

missing_location

location where the column summarizing values with missing levels by= will be located in the final table. Must be one of c("first", "last", "hide). Default is "first"

Example Output

Example 1

Details

tbl_ae_count counts all AEs (whereas tbl_ae counts by maximum grade). Thus, tbl_ae_count does not provide percentages as multiple AEs can be counted per subject.

See Also

tbl_ae

Examples

# \donttest{
# Example 1 -----------------------------------------------------------------
tbl_ae_count_ex1 <-
  tbl_ae_count(
    data = df_adverse_events,
    ae = adverse_event,
    soc = system_organ_class,
    strata = trt,
    by = grade
  ) %>%
  modify_header(all_ae_cols() ~ "**Grade {by}**")
  # }