`r lifecycle::badge('stable')`
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
)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.
Value
The `data.frame` with results of pooled analysis for a single visit.
A list of statistics extracted from a tidied LS means data frame.