crossa: Cross Tabs with Shading Algorithms

In rmtrane/QualityControl: Plots for reproducibility analysis, such as Bland-Altman for continuous and agreement plots for discrete variables.

Description

This functions allows you to create cross tabs with shading algorithms and fills it with exact agreement, agreement within two steps, kappa, the standard error of kappa, weighted kappa (within one step), and the standard error of weighted kappa.

Usage

crossa(data1a, lab1, data2a, lab2, cantgrade, title1 = "", footer = "",
  title2 = "", ext.labels = NULL, cex = 1, PLOT = TRUE, mar = c(0, 0,
  0, 0))

Arguments

lab1	label for data1
lab2	label for data2
cantgrade	vector containing values that are used for cannot grade and hence should not be included in within one step calculations.
title1	main title of graph, line one
footer	footer for graph
title2	main title of graph, line two
ext.labels	if NULL (default), labels printed in squares. Otherwise, character vector with same length as there are levels of the variable considered, with strings to be stand-in for labels in squares while actual labels are printed in the lower left corner. If true, numbers are used as labels and automatically
cex	numeric; passed to par. Default 1.
PLOT	logical; if TRUE (default), figure is plotted. If FALSE, summary returned without any figures.
mar	vector of length four. Is passed to the mar argument of par. Default: c(0,0,0,0)
data1	a vector of grades from grader 1; not a factor
data2	a vector of grades from grader 2; not a factor

Examples

## Not run: 
crossa(data1a = FIDI$CNVPRS.F,
       lab1   = "FILM SYNTHETIC GRADES",
       data2a = FIDI$CNVPRS.D,
       lab2   = "DIGITAL SYNTHETIC GRADES",
       title1 = "Presence of Classic CNV",
       footer = "Comparison of Digital Synthetic Grades and
                Film Synthetic Grades")
                
## End(Not run)
                data1a,

rmtrane/QualityControl documentation built on May 5, 2019, 5:54 p.m.