Run app

Run the application locally

run_app()

Run the Shiny Application

Package data

CDISC pilot data

Pilot data used to demo the application

adsl

ADSL

adae

ADAE

advs

ADVS

adlbc

ADLBC

adtte

ADTTE

Example data

Example data used to show function usage

example_dat1

Example Data Set 1

example_dat2

Example Data Set 2

Reproducible analysis functions

R code generator will leverage these functions to mimic analysis performed in the app

app_methods()

Find the proper function to apply to each statistical and column block pairing and use the metadata associated with each column block for the function's arguments

col_for_list_expr()

GT Column Names

common_rownames()

Identify Names of Columns

data_to_filter()

The smallest possible data set we could filter to semi-join later

data_to_use_str()

Function to clean and combine ADAE dataset with ADSL

prep_adae()

Function to pre-filter the ADAE depending on the stan table selected

prep_adsl()

Function to pre-filter the ADSL depending on the stan table selected

prep_bds()

Combine BDS Data Frames

pretty_IDs()

Create Pretty IDs for TG Table

std_footnote()

Create Standard Footnotes for TG Table

tg_gt()

Prepare the table generator data for output

General helper functions

get_levels()

Get Factor Levels

varN_fctr_reorder()

Re-order Factor Levels by VARN