README.md

In emilelatour/lagree: Calculate various interrater agreement coefficients

lagree

The goal of lagree is to consolidate and organize the calcualtion of interrater agreement statistics, standard errors, and confidence intervals.

Credit for this work goes to Kilem L. Gwet, Ph.D. He generously provides the R code to calculate these agreement statistics. I’ve wrapped his code into my own functions that output tibble data frames for my convenience. Please check out his work and his website: AgreeStat.com.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("emilelatour/lagree")

Example

This is a basic example which shows you how to solve a common problem:

library(lagree)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub!

emilelatour/lagree documentation built on Sept. 18, 2024, 5:19 p.m.