- 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
- 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"
- ciDisplay
(Optional) TRUE/FALSE switch to plot confidence intervals for bias and limits of agreement, default is TRUE
- ciShading
(Optional) TRUE/FALSE switch to plot confidence interval shading to plot, default is 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
- overlapping
(Optional) TRUE/FALSE switch to increase size of plotted point if multiple values using ggplot's geom_count, default=FALSE. Not currently recommend until I can tweak the graphics to make them better
- x.plot.mode
(Optional) Switch to change x-axis from being plotted by means (="means") or by either 1st method (="method1") or 2nd method (="method2"). Default is "means". Anything other than "means" will switch to default mode.
- y.plot.mode
(Optional) Switch to change y-axis from being plotted by difference (="difference") or by proportion magnitude of measurements (="proportion"). Default is "difference". Anything other than "proportional" will switch to default mode.
- plotProportionalBias
(Optional) TRUE/FALSE switch. Plots a proportional bias line. Default is FALSE.
- plotProportionalBias.se
(Optional) TRUE/FALSE switch. If proportional bias line is drawn, switch to plot standard errors. See stat_smooth for details. Default is TRUE.
- assume.differences.are.normal
(Optional, not operationally used currently) Assume the difference of means has a normal distribution. Will be used to build further analyses