plotSmoothCalibration | R Documentation |
Plot the smooth calibration as detailed in Calster et al. "A calibration heirarchy for risk models was defined: from utopia to empirical data" (2016)
plotSmoothCalibration(
plpResult,
smooth = "loess",
span = 0.75,
nKnots = 5,
scatter = FALSE,
bins = 20,
sample = TRUE,
typeColumn = "evaluation",
saveLocation = NULL,
fileName = "smoothCalibration.pdf"
)
plpResult |
The result of running |
smooth |
options: 'loess' or 'rcs' |
span |
This specifies the width of span used for loess. This will allow for faster computing and lower memory usage. |
nKnots |
The number of knots to be used by the rcs evaluation. Default is 5 |
scatter |
plot the decile calibrations as points on the graph. Default is False |
bins |
The number of bins for the histogram. Default is 20. |
sample |
If using loess then by default 20,000 patients will be sampled to save time |
typeColumn |
The name of the column specifying the evaluation type |
saveLocation |
Directory to save plot (if NULL plot is not saved) |
fileName |
Name of the file to save to plot, for example
'plot.png'. See the function |
Create a plot showing the smoothed calibration #'
A ggplot object.
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