Labeling Dataframes

Functions for applying Hmisc::label() labels to data frames

fetch_label()

Fetch a label

assign_label()

Assign a label to a column

assign_labels()

Assign labels to a data frame

Compare Groups

Functions that compare the means/proportions of data frame columns by a grouping variable

comparison()

Compare means/proportions across a group

choose_test()

Choose the correct statistical test

Formulas

Functions that create or manipulate formulas

make_formula()

Create a formula

Tables

Functions that create tables

make_table1()

Make a Table 1

tableone()

Create a Table 1

Column utilities

Functions that add specific columns or remove records

add_bmi()

Add BMI column

add_dindo()

Add Clavien-Dindo classification column

add_dindo_group()

Add a Dindo-Clavien Classification Group

add_postopindependent()

Add postoperatively independent column

add_preopindependent()

Add preoperatively independent column

remove_missing()

Remove records with missing values

pull_cell()

Select a cell from a dataframe given a row and a column

Utilities

Utility functions that don’t fit anywhere else

get_percent()

Calculate percentage

avg()

Calculate an average

bmi()

Calculate BMI

odds_ratio()

Calculate an odds ratio

Pipes

`%nin%`

Not in operator

`%>%`

Pipe operator

Datasets

Various datasets used in the package

df

Elective laparoscopic cholecystectomies from NSQIP Registry

df_match

Propensity score matched elective laparoscopic cholecystectomies from NSQIP Registry