[R] Graphing measured and fitted distributions

[Dermot MacSweeney]

Hi All,

What I would like to do is the following:

a) fit a probability function to a measured data set. This would be user 
specified, e.g., normal, lognormal, etc. 

and then

b) take the  probability function and plot it with the  histogram of the 
measured data set. This function would be displayed as a smooth curve. This 
would involve "re-sizing" the probability function to match that of the measured 
data set.

For those who are interested, I can send a postscript, pdf and a gif file to 
illustrate what I am looking to achieve (I have been advised not to send 
attachments to mailing lists).

Also I have a package which produces a jittered, one-dimensional scatter plot to 
show the relationship of the histogram to the original data (This is plotted 
underneath the histogram) .The X-axis contains the 
actual data values. The y-axis is entirely random. Is it also possible to do 
this in R. Again I can send the relevant files to interested parties on an 
individual basis.

Thanks in advance,
Dermot MacSweeney

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Dermot MacSweeney			NMRC, 
Email: dsweeney at nmrc.ucc.ie		Lee Maltings, 
Tel: +353 21 904178			Prospect Row, 
Fax: +353 21 270271			Cork, 
WWW: http://nmrc.ucc.ie			Ireland

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