# 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

 1 2 3 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

 1 2 3 4 5 6 7 8 9 10 11 ## 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.