blandr (version 0.6.0)

blandr.plot.rplot: Bland-Altman plotting function, using basic R drawing functions

Description

Draws a Bland-Altman plot using data calculated using the other functions, using the in-built R graphics

Usage

blandr.plot.rplot(
  statistics.results,
  plot.limits,
  method1name = "Method 1",
  method2name = "Method 2",
  plotTitle = "Bland-Altman plot for comparison of 2 methods",
  annotate = FALSE,
  ciDisplay = TRUE,
  ciShading = TRUE,
  normalLow = FALSE,
  normalHigh = FALSE,
  point_size = 0.8
)

Arguments

statistics.results

A list of statistics generated by the blandr.statistics function: see the function's return list to see what variables are passed to this function

plot.limits

A list of statistics generated by the blandr.plot.limits function to define the extent of the x- and y- axes: see the function's return list to see what variables are passed to this function

method1name

(Optional) Plotting name for 1st method, default 'Method 1'

method2name

(Optional) Plotting name for 2nd method, default 'Method 2'

plotTitle

(Optional) Title name, default 'Bland-Altman plot for comparison of 2 methods'

annotate

(Optional) TRUE/FALSE switch to provides annotations to plot, default=FALSE

ciDisplay

(Optional) TRUE/FALSE switch to plot confidence intervals for bias and limits of agreement, default=TRUE

ciShading

(Optional) TRUE/FALSE switch to plot confidence interval shading to plot, default=TRUE

normalLow

(Optional) If there is a normal range, entering a continuous variable will plot a vertical line on the plot to indicate its lower boundary

normalHigh

(Optional) If there is a normal range, entering a continuous variable will plot a vertical line on the plot to indicate its higher boundary

point_size

(Optional) Size of marker for each dot. Default is cex=0.8

Author

Deepankar Datta

Examples

# Generates two random measurements
measurement1 <- rnorm(100)
measurement2 <- rnorm(100)

# Generates a basic plot
# Do note the blandr.plot.rplot function wasn't meant to be used on it's own
# and is generally called via the bland.altman.display.and.draw function

# Passes data to the blandr.statistics function to generate Bland-Altman statistics
statistics.results <- blandr.statistics( measurement1 , measurement2 )
# Passed data to the blandr.plot.limits function to generate plot limits
plot.limits <- blandr.plot.limits( statistics.results )

# Generates a basic plot, with no optional arguments
blandr.plot.rplot( statistics.results , plot.limits )

# Generates a basic plot, with title changed
blandr.plot.rplot( statistics.results , plot.limits , plotTitle = 'Bland-Altman example plot' )
# Generates a basic plot, with title changed, and confidence intervals off
blandr.plot.rplot( statistics.results , plot.limits , plotTitle = 'Bland-Altman example plot' ,
ciDisplay = FALSE , ciShading = FALSE )