generate_standard_tables_all: Generate standard AHSQC tables

In thomasgstewart/ahsqc: Functions Specific to AHSQC Operations

Description

Generates standard AHSQC tables in HTML for .Rmd files. generate_standard_tables will print standard tables with no changes by default. If changes to individual tables are desired, they can be made with get_standard_table using separate .R files in the working directory.

Usage

generate_standard_tables_all(changes = FALSE, data, date,
  format = "rmd", module = "ventral", display = TRUE)

Arguments

changes	a boolean. Set to TRUE to indicate that changes have been made to at least one table.
data	a data table.
format	a string that describes the output format. Currently only "shiny" or "rmd". Default is "rmd"
module	a string that indicates which data module, ventral or inguinal, is used to create tables. Set to "ventral" for ventral module and "inguinal" for inguinal table. Once cannot generate tables for ventral and inguinal modules together.
out	empty vector
x	variable for row in table
dt	data table
xlab	Label for entry in table
out	empty vector
x	variable for row in table
dt	data table
xlab	Label for entry in table
pvalue	Boolean
fmt	Two values are "norm_fmt" or "count_fmt"
pvalue_fmt	A function that takes a pvalue and a test method
out	empty vector
dt	data table
fill	string

Details

Function returns the standard set of tables for the AHSQC in HTML code.

If changes = TRUE, the code for each table should be in individual .R files with the tbln.R nomenclature (ex. tbl1.R, tbl2.R, etc.) should be stored in the working directory. The function get_standard_table will do this.

Examples

# Not run:
# d0 <- ahs_get_data()
# d1 <- d0[["analyticview"]]
# generate_standard_tables(dt = d1, y = "e_gender")
Creates an entry with number of unique observations

# Not run:
Creates a categorical entry for a table

# Not run:
Creates an empty entry in table

# Not run:

thomasgstewart/ahsqc documentation built on Jan. 24, 2021, 11:19 a.m.