lsmeans_wide_cfun {junco} | R Documentation |
Content Row Analysis Function for LS Means Wide Table Layouts
Description
Content Row Analysis Function for LS Means Wide Table Layouts
Usage
lsmeans_wide_cfun(
df,
labelstr,
.spl_context,
variables,
ref_level,
treatment_levels,
pval_sided = c("2", "1", "-1"),
conf_level,
formats
)
Arguments
df |
(data.frame ) data set containing all analysis variables.
|
labelstr |
(character ) label of the level of the parent split currently being summarized
(must be present as second argument in Content Row Functions). See rtables::summarize_row_groups()
for more information.
|
.spl_context |
(data.frame ) gives information about ancestor split states
that is passed by rtables .
|
variables |
(list ) see fit_ancova() for required variable
specifications.
|
ref_level |
(string ) the reference level of the treatment arm variable.
|
treatment_levels |
(character ) the non-reference levels of the treatment arm
variable.
|
pval_sided |
(string ) either '2' for two-sided or '1' for 1-sided with greater than
control or '-1' for 1-sided with smaller than control alternative hypothesis.
|
conf_level |
(proportion ) confidence level of the interval.
|
formats |
(list ) including lsmean , mse , df , lsmean_diff , se ,
ci , pval formats.
|
Details
This assumes a lot of structure of the layout, and is only intended to be used inside
summarize_lsmeans_wide()
, please see there for the layout structure that is needed.
[Package
junco version 0.1.1
Index]