tabulate_rbmi: Tabulation of RBMI Results

Description

These functions can be used to produce tables from RBMI.

Usage

h_tidy_pool(x, visit_name, group_names)
s_rbmi_lsmeans(df, .in_ref_col, show_relative = c("reduction", "increase"))
a_rbmi_lsmeans(
  df,
  ref_path,
  .spl_context,
  ...,
  .stats = NULL,
  .formats = NULL,
  .labels = NULL,
  .indent_mods = NULL
)

Value

h_tidy_pool() returns a data.frame with results of pooled analysis for a single visit.

s_rbmi_lsmeans() returns a list of statistics extracted from a tidied LS means data frame.

Arguments

x: (list)
is a list of pooled object from rbmi analysis results. This list includes analysis results, confidence level, hypothesis testing type.
visit_name: (string)
single visit level.
group_names: (character)
group levels.
df: (data.frame)
input with LS means results.
.in_ref_col: (flag)
whether reference column is specified.
show_relative: (string)
'reduction' if (control - treatment, default) or 'increase' (treatment - control) of relative change from baseline?
ref_path: (character)
global reference group specification, see get_ref_info().
.spl_context: (data.frame)
gives information about ancestor split states that is passed by rtables.
...: additional arguments for the lower level functions.
.stats: (character)
statistics to select for the table.
.formats: (named character or list)
formats for the statistics. See Details in analyze_vars for more information on the 'auto' setting.
.labels: (named character)
labels for the statistics (without indent).
.indent_mods: (named integer)
indent modifiers for the labels. Defaults to 0, which corresponds to the unmodified default behavior. Can be negative.

Functions

h_tidy_pool(): Helper function to produce data frame with results of pool for a single visit.
s_rbmi_lsmeans(): Statistics function which is extracting estimates from a tidied RBMI results data frame.
a_rbmi_lsmeans(): Formatted Analysis function which is used as afun.