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I made a calibration (check agreement between predictions and outcome: discrepancy yes or no) plot with ggplot. Perfect calibration would give a slope of 1 and intercept of 0, so now I was wonderding how to determine the slope and intercept.

This is my commando:

plot1 <-ggplot(dataset_validatie, aes(x=clinically_relevant_discrepancy, y=predictions, group = 1)) + geom_line()+geom_point() print(plot1)

Here is my calibration plot: plot

stephanie strouven
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  • Hi, please make your example reproducible, see https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example and https://stackoverflow.com/help/minimal-reproducible-example – Paul May 05 '22 at 06:53

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