tabulate_rbmi {junco} | R Documentation |
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
)
Arguments
x |
( |
visit_name |
( |
group_names |
( |
df |
( |
.in_ref_col |
( |
show_relative |
( |
ref_path |
( |
.spl_context |
( |
... |
additional arguments for the lower level functions. |
.stats |
( |
.formats |
(named |
.labels |
(named |
.indent_mods |
(named |
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.
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 asafun
.
Note
These functions have been forked from tern.rbmi
. Additional features are:
Additional
ref_path
argument.Extraction of variance statistics in the
tidy()
method.Adapted to
rbmi
forked functions update with more than two treatment groups.