sd.plotaLimit: Bland-Altman Plot with Confidence Interval

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

Description

Creates a plot of the difference between two grades against the mean of the two grades with mean and 95 Calculates the mean difference, intra-class correlation, and n (%) within [range1], [range2], and [range3].

Usage

sd.plotaLimit(grade1a, grade2a, label1, label2, range1, range2, range3,
  ptsz = 0.7, cantgrade = c("", "Not applicable"), maintitle = "",
  subtitle = "", footer = "", x1 = -999, x2 = -999, y1 = -999,
  y2 = -999, factor = 1e-08, spline = FALSE,
  xlab = "Average of the Two Grades", ylab = "Difference of the Two Grades",
  ylimit = NULL, CI_background = grey(1), CI_use_quantiles = FALSE,
  mar = c(0, 0, 0, 0))

Arguments

grade1a	a vector of grades
grade2a	a corresponding vector of grades
label1	label of the first grader
label2	label of the second grader
range1	numeric
range2	numeric
range3	numeric
ptsz	numeric; passed to the cex arguments of points. Default is 0.7
cantgrade	character/numeric vector used to indicate cannot grade. Default: c(”, 'Not applicable')
maintitle	main title of graph. If units included, expressions can be preserved by surrounding them with #. Example: #mm^2#.
subtitle	sub title of graph
footer	footer
x1, x2	range of x axis – if -999 (default), the range is calculated based on the data
y1, y2	range of y axis – if -999 (default), the range is calculated based on the data
factor	numeric; passed to jitter for plotting of data points. Adjusts how spread out the points are.
xlab	label for x-axis
ylab	label for y-axs
ylimit	numeric vector; overwrites y1, y2 for y limits
CI_background	color for confidence interval background
CI_use_quantiles	logical; if FALSE (default), use mean +/- 1.96 SD as confidence interval. If TRUE, use quantiles.
mar	margin passed to par. Set to c(0,0,0,0) for printing to pdf file.

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