How to fit and read data from the standard curve graph with non-linear regression line on it having 2 sets of data

I'm glad it was what you were looking for! I am not a genius, just somebody who has been down the same path before :slight_smile:

I'm not super well versed with base plot() so I'm not sure waht the Error in e2[[j]] : subscript out of bounds is from.

For the ggplot() error, it is stating that

 Error in FUN(X[[i]], ...) : object 'predicted' not found

And we are using :

 geom_point(data = unknowns, aes(abs, predicted),  colour = "tomato")  + 

So either the unknowns data frame hasn't been created prior to the ggplot call, or you haven't added the predicted values using this line of code:

# using the model, 'predict' what the values would be given particular measurements
unknowns$predicted <- stats::predict(model, unknowns)

Do you definitely have these lines before the ggplot call?

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