README.md

In rsh52/cusumr: Compute Cumulative Summation Score in Binary Outcome Measures

cusumr

Overview

cusumr is a R package dedicated to analyzing binary data sets for cumulative summation. There are two main functions in this package:

• cusumr()
• cusumr_plot()

Both functions have defaults set for acceptable rates, type 1 and type 2 error rates, whether or not a learning period should be required in the analysis, and if resets to the data should be applied based on decision limits in the monitoring phase.

Installation

The recommended method for installing cusumr is the following:

devtools::install_github(repo = "rsh52/cusumr")

Example

df <- c(0,0,0,1,1,0,1,1,0,0,0,0,1,0,0,1)

cusumr(df)

cusumr_plot(df)

Reference

The use of the Cusum technique in the assessment of trainee competence in new procedures. Int J Qual Health Care. 2000 Oct;12(5):433-8. url

Cumulative sum (CUSUM) assessment and medical education: a square peg in a round hole. Anaesthesia, 2011, 66, pages 243-254. url

An application of the learning curve cumulative summation test to evaluate training for endotracheal intubation in emergency medicine. Emerg Med J, 2015;32:291..294. url

rsh52/cusumr documentation built on May 11, 2021, 1:38 a.m.