title: Plot probability with ggplot2 (not density)
body: <p>I'd like to plot data such that on y axis there would be probability (in range [0,1]) and on x-axis I have the data values. The data is contiguous (also in range [0,1]), thus I'd like to use some kernel density estimation function and normalize it such that the y-value at some point x would mean the probability of seeing value x in input data.</p>
  
  <p>So, I'd like to ask:</p>
  
  <p>a) Is it reasonable at all? I understand that I cannot have probability of seeing values I do not have in the data, but I just would like to interpolate between points I have using a kernel density estimation function and normalize it afterwards.</p>
  
  <p>b) Are there any built-in options in ggplot I could use, that would override default behavior of geom_density() for example for doing this?</p>
  
  <p>Thanks in advance,</p>
  
  <p>Timo</p>
  
  <p>EDIT:
  when i said "normalize" before, I actually meant "scale". But I got the answer, so thanks guys for clearing up my mind about this.</p>