In MiguelRodo/ggccc: Convenient plotting function for CCC

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
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ggccc

The goal of ggccc is to provide a simple function to create a plot containing the relevant visual and summary statistic information for interpreting a concordance correlation coefficient (CCC). The key (and only, thus far) function is gg_ccc.

Note that in future the function will likely be changed to gg_cc, with options added to make it more appropriate for plots that don't use the CCC but do use other correlation coefficients.

Installation

You can install the current version from GitHub using the following:

devtools::install_github( "MiguelRodo/ggccc" )

Example

This is an example of the output from gg_ccc.

library(ggccc)
data( test_tbl )
gg_ccc( test_tbl, 
        x = "Measurement 1", 
        y = "Measurement 2", 
        shift_x = 20, shift_y = 4, 
        table_font_size = 5,
        table_font_gap = 3.2 ) +
  cowplot::theme_cowplot()