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Analyze function for tabulating LS means estimates from tidied rbmi pool results.

Source: R/tabulate_rbmi.R
summarize_rbmi.Rd

[Experimental]

Usage 

summarize_rbmi(
  lyt,
  ...,
  table_names = "rbmi_summary",
  .stats = NULL,
  .formats = NULL,
  .indent_mods = NULL,
  .labels = NULL
)

Arguments

lyt

(layout)
input layout where analyses will be added to.

...

additional argument.

table_names

(character)
this can be customized in case that the same vars are analyzed multiple times, to avoid warnings from rtables.

.stats

(character)
statistics to select for the table.

.formats

(named character or list)
formats for the statistics.

.indent_mods

(named integer)
indent modifiers for the labels.

.labels

(named character)
labels for the statistics (without indent).

Value

rtables layout for tabulating LS means estimates from tidied rbmi pool results.

Examples 

library(rtables)
library(dplyr)
library(broom)

data("rbmi_test_data")
pool_obj <- rbmi_test_data

df <- tidy(pool_obj)

basic_table() %>%
  split_cols_by("group", ref_group = levels(df$group)[1]) %>%
  split_rows_by("visit", split_label = "Visit", label_pos = "topleft") %>%
  summarize_rbmi() %>%
  build_table(df)
#> Visit                                       ref                alt       
#> —————————————————————————————————————————————————————————————————————————
#> 4                                                                        
#>   Adjusted Mean (SE)                   -1.616 (0.486)     -1.708 (0.475) 
#>     95% CI                            (-2.576, -0.656)   (-2.645, -0.770)
#>   Difference in Adjusted Means (SE)                       -0.092 (0.683) 
#>     95% CI                                               (-1.439, 1.256) 
#>     Relative Reduction (%)                                     5.7%      
#>     p-value (RBMI)                                            0.8932     
#> 5                                                                        
#>   Adjusted Mean (SE)                   -4.225 (0.656)     -2.874 (0.648) 
#>     95% CI                            (-5.520, -2.930)   (-4.154, -1.593)
#>   Difference in Adjusted Means (SE)                       1.351 (0.922)  
#>     95% CI                                               (-0.470, 3.172) 
#>     Relative Reduction (%)                                    -32.0%     
#>     p-value (RBMI)                                            0.1447     
#> 6                                                                        
#>   Adjusted Mean (SE)                   -6.381 (0.703)     -4.159 (0.696) 
#>     95% CI                            (-7.771, -4.991)   (-5.536, -2.782)
#>   Difference in Adjusted Means (SE)                       2.222 (0.975)  
#>     95% CI                                                (0.296, 4.149) 
#>     Relative Reduction (%)                                    -34.8%     
#>     p-value (RBMI)                                            0.0241     
#> 7                                                                        
#>   Adjusted Mean (SE)                   -7.580 (0.791)     -4.760 (0.756) 
#>     95% CI                            (-9.145, -6.016)   (-6.254, -3.267)
#>   Difference in Adjusted Means (SE)                       2.820 (1.085)  
#>     95% CI                                                (0.676, 4.964) 
#>     Relative Reduction (%)                                    -37.2%     
#>     p-value (RBMI)                                            0.0103