[R] density() with confidence intervals

[David Croll]

Hello R users & R friends,


I just want to ask you if density() can produce a confidence interval, indicating how "certain" the density() line follows the true frequency distribution based on the sample you feed into density().

I've heard of loess.predict(loess(y ~ x), se=TRUE) which gives you a SE estimate of the smoothed scatterplot - but density() kernel smoothing is not the same as locally-weighted polynomial scatterplot smoothing...


Feel free to ask me if I did not put my question into clear words :)


Kind regards & thanks in advance,


David
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